SPEC Cloud IaaS 2018 Benchmark

SPEC Cloud IaaS 2018 Benchmark
Copyright © 2018 Standard Performance Evaluation Corporation

Cloud Vendor: Inspur Electronic Information Industry CO., Ltd. (IEI)
Cloud Type / SUT Type: private/whitebox
Hardware Platform: NF5280M7
Hypervisor: KVM
Cloud Infrastructure: InCloudOS V6 Rocky

Replicated Application Instances: 45 copies
        Performance Score: 67.2
        Relative Scalability: 99.4%
        Mean Instance Provisioning Time: 40s

Tested by: Inspur Electronic Information Industry Co., Ltd. (IEI)

SPEC Licence Number : 3358

Test Date : Apr 30, 2023

Performance Sections
Performance Summary
Performance Details
Validation, Errors, and Issues
Glossary of Terms

SUT Configuration Sections
Instance Configuration
Cloud Configuration
Network Configuration
Storage Configuration

Scale-out Phase Date/Time and Test Region
Scale-out Start Time: 2023-04-20_19:46:34_UTC
Scale-out End Time: 2023-04-20_22:34:18_UTC
Test Region: CN Central Standard Time

Cloud Informational Metrics
AI Provisioning Success: 100.00%
AI Run Success: 100.00
Total Instances: 292

Reference ID: all_9

Performance Summary

Baseline Summary Results for YCSB
	Throughput (ops/s)	Insert Latency 99% (ms)	Read Latency 99% (ms)	AI Provisioning Time (s)
Average	40731.7	200.549	13.794	127.0

Baseline Summary Results for KMeans

Completion Time (s) AI Provisioning Time (s)

Average 77.16 109.0

Baseline Summary Results for KMeans
	Completion Time (s)	AI Provisioning Time (s)
Average	77.16	109.0

Scale-out Summary Results for YCSB for 22 Valid AIs
Av. Throughput (ops/s)	Av. Insert Latency 99% (ms)	Av. Read Latency 99% (ms)	Av. Provisioning Time (s)	Performance Score	Relative Scalability (%)
39352.5	2.048	2.552	118.5	25.88	98.73

Scale-out Summary Results for KMeans for 23 Valid AIs

Av. Completion Time (s) Av. Provisioning Time (s) Performance Score Relative Scalability (%)

76.3 102.3 41.30 100.00

Scale-out Summary Results for KMeans for 23 Valid AIs
Av. Completion Time (s)	Av. Provisioning Time (s)	Performance Score	Relative Scalability (%)
76.3	102.3	41.30	100.00

YCSB Summary Results by AI
AI name	Run count	Run codes	Av. Throughput (ops/s)	Av. Insert Latency 99% (ms)	Av. Read Latency 99% (ms)	AI. Provisioning time (s)	AI. Prov. Initiated from Scale-out Start (s)
ai_1	62	0	49818.3	1.431	1.801	115.0	5.0
ai_4	60	0	50226.2	1.420	1.806	114.0	423.0
ai_6	54	0	49401.0	1.504	1.931	115.0	942.0
ai_7	53	0	48720.9	1.544	1.989	118.0	1378.0
ai_9	47	0	46040.1	1.666	2.082	119.0	1747.0
ai_11	48	0	49239.9	1.550	2.019	116.0	2318.0
ai_13	39	0	43799.6	1.785	2.177	116.0	2655.0
ai_16	36	0	43477.6	1.811	2.267	116.0	3186.0
ai_17	38	0	45973.5	1.755	2.260	117.0	3551.0
ai_20	27	0	37237.2	2.195	2.606	121.0	4014.0
ai_21	28	0	38803.3	2.010	2.532	116.0	4315.0
ai_23	22	0	34674.6	2.188	2.709	116.0	4812.0
ai_26	21	0	36670.8	2.171	2.726	118.0	5361.0
ai_27	20	0	37386.6	2.185	2.776	120.0	5683.0
ai_29	16	0	33877.7	2.163	2.710	121.0	6256.0
ai_32	16	0	40202.2	2.049	2.625	120.0	6845.0
ai_33	11	0	30480.7	2.524	3.026	117.0	7158.0
ai_35	8	0	29706.6	2.775	3.308	124.0	7697.0
ai_37	6	0	28396.1	2.660	3.189	119.0	8108.0
ai_40	5	0	33140.8	2.505	3.281	121.0	8705.0
ai_42	2	0	24582.7	2.873	3.352	125.0	9201.0
ai_44	1	0	33898.6	2.293	2.971	123.0	9702.0

KMeans Summary Results by AI
AI name	Run count	Run code	Av. Completion Time (s)	Av. Provisioning time (s)	AI. Prov. Initiated from Scale-out Start (s)
ai_2	96	0	77.51	92.0	11.0
ai_3	98	0	71.17	92.0	417.0
ai_5	91	0	73.01	144.0	858.0
ai_8	85	0	73.19	137.0	1424.0
ai_10	79	0	74.86	98.0	1986.0
ai_12	76	0	72.97	95.0	2387.0
ai_14	70	0	75.59	93.0	2700.0
ai_15	66	0	77.68	91.0	3095.0
ai_18	60	0	77.73	92.0	3644.0
ai_19	58	0	76.38	91.0	3995.0
ai_22	53	0	75.06	92.0	4509.0
ai_24	47	0	81.62	91.0	4875.0
ai_25	43	0	85.23	91.0	5180.0
ai_28	40	0	78.28	90.0	5740.0
ai_30	34	0	81.29	95.0	6268.0
ai_31	30	0	79.20	137.0	6724.0
ai_34	25	0	76.60	96.0	7319.0
ai_36	20	0	81.95	154.0	7722.0
ai_38	16	0	80.44	96.0	8165.0
ai_39	12	0	83.00	97.0	8555.0
ai_41	8	0	76.38	99.0	9043.0
ai_43	5	0	78.00	96.0	9403.0
ai_45	1	0	75.00	95.0	9833.0

Validation, Errors, and Issues

Stopping condition reason: Benchmark stopped because number of AIs reporting results reached the configured value. Result received from AIs:45, _rules_reported_ais:45, _ais_issued:45:NOK
0 YCSB AIs removed due to 60/40 rule
0 KMeans AIs removed due to 60/40 rule
0 YCSB AIs with zero runs
0 KMeans AIs with zero runs
0 YCSB AIs that failed to provision
0 KMeans AIs that failed to provision
0 YCSB AIs with provisioning qos violation
0 KMeans AIs with provisioning qos violation

Glossary of "Run code":

0 no error.
1 for all errors including AIs that were provisioned but did not report any result or reported results after QoS limits.
2 if an AI that was provisioned but did not report any runs when the benchmark terminated - the AIs that are provisioning towards the end of scale-out phase may have zero runs.
3 if an AI failed to provision.
4 if an AI provisioning was in progress when the benchmark terminated - the AIs issued towards the end of scale-out phase may not be fully provisioned.
5 if an AI provisioning QoS was violated.
6 if an AI was excluded due to reported_ais being reached.

Instance Configuration

Instance Configuration Hadoop Master

Parameter Value

instance_type_name medium

cpu 4

memory 4GB

disk_size 40GB

disk_backed block storage

image_name hadoop_kmeans

Notes some text

Instance Configuration Hadoop Slave

Parameter Value

instance_type_name medium

cpu 4

memory 4GB

disk_size 40GB

disk_backed block storage

image_name hadoop_kmeans

Notes some text

Instance Configuration YCSB

Parameter Value

instance_type_name medium

cpu 4

memory 4GB

disk_size 40GB

disk_backed block storage

image_name cassandra_ycsb

Notes some text

Instance Configuration Cassandra

Parameter Value

instance_type_name medium

cpu 4

memory 4GB

disk_size 40GB

disk_backed block storage

image_name cassandra_ycsb

Notes some text

Cloud Configuration

Cloud High Level Information and Availability

Parameter Value

Name InCloudOS V6

Type private

Sut_Type whitebox

Virtualized KVM

Manager_Protocol InCloudOS V6

Manager_Version Rocky

Hardware_Availability Apr-2023

Software/Service_Availability Jan-2023

Geographic_Distribution 1

Notes Cloud management deputy nodes reside at all data centers SUT exists in 3 different buildings within same campus Campus network backbone is infinet10000.

Cloud Under Test Software Levels

Parameter Value

Python_version 2.7.9

JVM_version 1.8.0_45

Hadoop_version 2.5.7

Cassandra_version 2.1.20

Notes All software compiled locally from git source archives Compiler options - debug, 128bits, optimized Internal database set to emulate Cassandra API.

Benchmark Harness Node

Parameter Value

Vendor Nettrix R620 G40

Platform Intel(R) Xeon(R) Platinum 8360Y CPU @ 2.40GHz

CPU_Description Intel(R) Xeon(R) Platinum 8360Y CPU @ 2.40GHz

CPU_Frequency_MHz 2400

RAM_Memory 256 GB, ECC, DDR4, 3200MHz RDIMM

Local_Storage 1 x 240GB SATA SSD, 1 x 960GB SATA SSD

Quantity 1

Availability_Date Apr-2021

OS_Version K-UX release 5.6

OS_Availability_Date Jan-2023

Network_Adapter_1 Intel Corporation Ethernet Controller X710 for 10GBASE-T 1Gb/s

Network_Adapter_2 Intel Corporation Ethernet Controller X710 for 10GBASE-T 10Gb/s

Network_port_type_1 1000BASE-T

Network_port_type_2 10GBASE-SR

Network_speed_port_1 1 Gb/s

Network_speed_port_2 10 Gb/s

Notes None

Cloud Manager Node

Parameter Value

Hw_Vendor Nettiex R620 G40

Hw_Platform Intel(R) Xeon(R) Platinum 8360Y CPU @ 2.40GHz

CPU_Type Eltin Xera J7-8409

CPU_Count 2

CPU_Cores_Per 4

CPU_Frequency_MHz 2400

RAM_Memory_GB 256

Primary_Cache_KB 32 KB I + 48 KB D per core, on chip

Secondary_Cache_KB 1.25 MB I+D per core, on chip

RAM_Memory_Type ECC DDR4 3200 MHz

Hw_Availability_Date Apr-2021

Local_Storage 1 x 240GB SATA SSD,1 x 960GB SATA SSD

Quantity 1

Virtualized KVM

Network_Adapter_1 Intel Corporation Ethernet Controller X710 for 10GBASE-T 1Gb/s

Network_Adapter_2 Intel Corporation Ethernet Controller X710 for 10GBASE-T 10Gb/s

Network_port_type_1 1000BASE-T

Network_port_type_2 10GBASE-SR

Network_speed_port_1 1 Gb/s

Network_speed_port_2 10 Gb/s

OS_Version K-UX release 5.6

OS_Availability_Date Jan-2023

Notes None

Cloud Computes Nodes

Parameter Value

type 1_Compute_nodes 9

type 1_Hw_Vendor NF5280M7

type 1_Hw_Platform Intel(R) Xeon(R) Platinum 8480+ CPU @ 2.00GHz

type 1_Quantity 9

type 1_CPU_Type x86

type 1_CPU_Count 2

type 1_CPU_Cores_Per 56

type 1_CPU_Frequency_MHz 2000

type 1_RAM_Memory_GB 256

type 1_Primary_Cache_KB 32 KB I + 48 KB D per core, on chip

type 1_Secondary_Cache_KB 2 MB I+D per core, on chip

type 1_RAM_Memory_Type ECC DDR5 4800 MHz

type 1_Hw_Availability_Date Apr-2023

type 1_Local_Storage 1 x 1.6 TB SATA SSD,2 * 800GB SATA SSD

type 1_Virtualized KVM

type 1_Network_Adapter_1 Intel Corporation Ethernet Controller X550T for 10GBASE-T 1Gb/s

type 1_Network_Adapter_2 Intel Corporation Ethernet Controller X550T for 10GBASE-T 10Gb/s

type 1_Network_port_type_1 1000BASE-T

type 1_Network_port_type_2 10GBASE-SR

type 1_Network_speed_port_1 1 Gb/s

type 1_Network_speed_port_2 10 Gb/s

type 1_OS_Version K-UX release 5.6

type 1_OS_Availability_Date Jan-2023

type 1_Notes None

Cloud Network Information

Cloud Network Information
Parameter	Value
network 1_Technology	ethernet
network 1_Protocol	TCP/IP
network 1_Protocol_version	IPV4
network 1_Speed_Mbps	1000
network 1_Function	management
network 1_Notes	None
network 2_Technology	ethernet
network 2_Protocol	TCP/IP
network 2_Protocol_version	IPV4
network 2_Speed_Mbps	10000
network 2_Function	data
network 2_Notes	None

Cloud Schematic

Storage Configuration

Cloud Storage
Parameter	Value
Storage 1_Attach_Type	network
Storage 1_Capacity	16.4 TB + 16.4 TB
Storage 1_Technology	SSD
Storage 1_Notes	None

Performance Details

YCSB Detailed Results for Application Instance Runs
AI name	Run id	Throughput (ops/s)	Insert Latency 99% (ms)	Read Latency 99% (ms)	Data gen time (s)	AI Run Errors	NTP Error
ai_1	1	50106.5	1.095	1.868	52.00	0	0
	2	52336.8	1.060	1.537	51.00	0	0
	3	53928.7	1.051	1.491	56.00	0	0
	4	54251.3	1.018	1.367	54.00	0	0
	5	54224.8	1.013	1.410	46.00	0	0
	6	53291.4	0.995	1.318	50.00	0	0
	7	56536.3	0.962	1.305	52.00	0	0
	8	55817.6	0.996	1.292	46.00	0	0
	9	56248.5	0.973	1.288	52.00	0	0
	10	54092.8	1.014	1.319	53.00	0	0
	11	56293.6	0.969	1.293	52.00	0	0
	12	58465.9	0.906	1.163	47.00	0	0
	13	58531.7	0.943	1.233	50.00	0	0
	14	59162.8	0.935	1.308	46.00	0	0
	15	58900.6	0.956	1.291	52.00	0	0
	16	57478.7	0.933	1.216	50.00	0	0
	17	58120.1	0.936	1.218	47.00	0	0
	18	59645.4	0.934	1.245	51.00	0	0
	19	57348.5	0.942	1.235	51.00	0	0
	20	57295.9	1.086	1.542	52.00	0	0
	21	59950.2	0.923	1.231	46.00	0	0
	22	59399.2	0.947	1.375	46.00	0	0
	23	56684.5	0.988	1.398	47.00	0	0
	24	57476.2	1.020	1.269	52.00	0	0
	25	58826.1	0.972	1.271	49.00	0	0
	26	58328.6	1.019	1.305	51.00	0	0
	27	58047.6	1.068	1.477	52.00	0	0
	28	57282.8	1.108	1.424	47.00	0	0
	29	54772.8	1.255	1.545	52.00	0	0
	30	57328.8	1.084	1.420	47.00	0	0
	31	56728.7	1.209	1.519	51.00	0	0
	32	55647.5	1.078	1.416	50.00	0	0
	33	50037.5	1.356	1.645	54.00	0	0
	34	55035.0	1.243	1.455	52.00	0	0
	35	49134.0	1.512	1.710	53.00	0	0
	36	55549.4	1.292	1.757	57.00	0	0
	37	52566.6	1.382	1.739	51.00	0	0
	38	51436.4	1.521	1.877	51.00	0	0
	39	48055.0	1.628	2.004	52.00	0	0
	40	51749.1	1.464	1.892	56.00	0	0
	41	48697.9	1.514	1.836	66.00	0	0
	42	43768.9	1.708	2.038	57.00	0	0
	43	43224.6	1.769	2.087	69.00	0	0
	44	42930.0	1.579	1.866	65.00	0	0
	45	38362.7	1.969	2.413	68.00	0	0
	46	42356.3	1.764	2.075	64.00	0	0
	47	44590.1	1.768	2.071	78.00	0	0
	48	44689.7	1.882	2.251	76.00	0	0
	49	38300.6	2.028	2.499	70.00	0	0
	50	39988.0	2.089	2.605	63.00	0	0
	51	40503.0	1.765	2.167	67.00	0	0
	52	41913.8	1.894	2.267	74.00	0	0
	53	38818.7	2.113	2.595	71.00	0	0
	54	36040.9	2.079	2.459	81.00	0	0
	55	36496.0	2.319	2.773	81.00	0	0
	56	33299.8	2.389	2.837	65.00	0	0
	57	38789.4	2.063	2.599	83.00	0	0
	58	40732.4	1.962	2.413	68.00	0	0
	59	40387.7	2.087	2.707	94.00	0	0
	60	28314.6	2.825	3.203	84.00	0	0
	61	31677.9	2.617	3.071	92.00	0	0
	62	28740.0	2.723	3.183	75.00	0	0
AI name	Run id	Throughput (ops/s)	Insert Latency 99% (ms)	Read Latency 99% (ms)	Data gen time (s)	AI Run Errors	NTP Error
ai_4	1	57529.1	1.059	1.776	42.00	0	0
	2	58909.3	1.008	1.554	47.00	0	0
	3	56706.2	1.045	1.466	39.00	0	0
	4	57585.4	1.005	1.416	45.00	0	0
	5	59901.8	0.909	1.253	50.00	0	0
	6	60867.1	0.883	1.200	45.00	0	0
	7	56702.2	0.958	1.252	45.00	0	0
	8	62686.1	0.914	1.186	45.00	0	0
	9	59311.1	0.901	1.205	45.00	0	0
	10	59004.9	0.904	1.260	40.00	0	0
	11	60778.3	0.893	1.187	44.00	0	0
	12	63024.9	0.881	1.165	51.00	0	0
	13	58437.7	0.893	1.179	39.00	0	0
	14	63472.9	0.896	1.209	45.00	0	0
	15	64902.4	0.912	1.206	46.00	0	0
	16	60986.8	0.918	1.182	42.00	0	0
	17	58072.9	0.919	1.281	45.00	0	0
	18	61195.8	0.911	1.255	44.00	0	0
	19	60536.4	0.893	1.184	41.00	0	0
	20	57744.2	0.914	1.220	41.00	0	0
	21	60562.0	0.900	1.277	40.00	0	0
	22	60146.8	0.926	1.262	42.00	0	0
	23	60057.4	0.944	1.377	54.00	0	0
	24	55324.3	1.009	1.382	46.00	0	0
	25	61969.4	0.914	1.295	42.00	0	0
	26	58954.4	0.909	1.293	45.00	0	0
	27	60818.0	0.917	1.266	45.00	0	0
	28	57865.3	0.940	1.252	45.00	0	0
	29	59971.8	0.920	1.280	46.00	0	0
	30	51041.9	1.330	1.637	46.00	0	0
	31	56158.5	1.165	1.438	51.00	0	0
	32	46659.2	1.492	1.738	53.00	0	0
	33	45679.8	1.498	1.724	49.00	0	0
	34	54573.2	1.331	1.545	53.00	0	0
	35	48754.9	1.493	1.849	50.00	0	0
	36	46321.5	1.518	1.893	53.00	0	0
	37	46915.9	1.768	2.085	53.00	0	0
	38	47525.7	1.468	1.717	50.00	0	0
	39	49360.8	1.512	1.937	74.00	0	0
	40	45246.8	1.766	2.111	69.00	0	0
	41	46822.0	1.674	2.153	68.00	0	0
	42	43297.5	1.893	2.333	58.00	0	0
	43	44805.9	1.765	2.351	72.00	0	0
	44	37265.8	1.992	2.383	64.00	0	0
	45	40892.3	1.642	2.042	60.00	0	0
	46	37395.4	1.873	2.263	81.00	0	0
	47	43356.7	1.687	2.175	63.00	0	0
	48	41991.2	1.777	2.285	88.00	0	0
	49	33701.5	2.043	2.373	87.00	0	0
	50	33552.0	2.163	2.493	95.00	0	0
	51	35427.1	2.391	2.947	106.00	0	0
	52	32270.0	2.107	2.541	89.00	0	0
	53	31462.1	2.497	3.109	105.00	0	0
	54	33749.3	2.093	2.565	88.00	0	0
	55	39416.6	1.845	2.365	84.00	0	0
	56	37940.9	2.257	2.855	90.00	0	0
	57	34443.3	2.341	2.929	86.00	0	0
	58	30515.0	2.725	3.111	91.00	0	0
	59	30850.2	2.557	3.093	93.00	0	0
	60	32155.6	2.557	3.021	111.00	0	0
AI name	Run id	Throughput (ops/s)	Insert Latency 99% (ms)	Read Latency 99% (ms)	Data gen time (s)	AI Run Errors	NTP Error
ai_6	1	55701.8	1.053	1.739	46.00	0	0
	2	57534.9	0.943	1.419	46.00	0	0
	3	57009.3	0.975	1.329	47.00	0	0
	4	58285.2	0.943	1.252	46.00	0	0
	5	57190.2	0.988	1.353	52.00	0	0
	6	58277.6	0.944	1.270	51.00	0	0
	7	58566.9	0.968	1.315	43.00	0	0
	8	57576.3	0.937	1.244	49.00	0	0
	9	60217.4	0.917	1.210	46.00	0	0
	10	56057.0	1.003	1.322	50.00	0	0
	11	58951.8	0.958	1.293	46.00	0	0
	12	58056.0	0.954	1.269	47.00	0	0
	13	57646.9	0.966	1.274	50.00	0	0
	14	55483.9	1.012	1.370	51.00	0	0
	15	57530.0	0.931	1.328	46.00	0	0
	16	59382.4	0.946	1.253	46.00	0	0
	17	58462.4	0.961	1.288	47.00	0	0
	18	59573.5	0.986	1.308	47.00	0	0
	19	56384.9	1.004	1.318	46.00	0	0
	20	55699.4	1.024	1.353	43.00	0	0
	21	55689.4	1.051	1.348	48.00	0	0
	22	58255.5	1.041	1.372	49.00	0	0
	23	57942.5	1.005	1.379	47.00	0	0
	24	57133.1	0.987	1.400	50.00	0	0
	25	57151.8	0.998	1.292	61.00	0	0
	26	58374.6	1.023	1.302	48.00	0	0
	27	55971.5	1.124	1.556	65.00	0	0
	28	51661.6	1.670	2.065	69.00	0	0
	29	56468.5	1.191	1.651	57.00	0	0
	30	56734.4	1.266	1.680	52.00	0	0
	31	50433.1	1.492	1.977	57.00	0	0
	32	53110.3	1.424	1.962	55.00	0	0
	33	51288.6	1.516	2.061	54.00	0	0
	34	48661.8	1.455	1.925	59.00	0	0
	35	49069.5	1.742	2.143	53.00	0	0
	36	47758.9	1.624	2.069	56.00	0	0
	37	44424.2	1.770	2.353	55.00	0	0
	38	45245.8	1.590	2.173	58.00	0	0
	39	40331.1	1.940	2.477	55.00	0	0
	40	43474.5	1.903	2.357	64.00	0	0
	41	44262.5	1.750	2.259	75.00	0	0
	42	44867.7	1.861	2.397	72.00	0	0
	43	39341.8	2.193	2.765	80.00	0	0
	44	33700.4	2.475	3.049	78.00	0	0
	45	38867.0	2.057	2.623	78.00	0	0
	46	35234.5	2.159	2.833	91.00	0	0
	47	34760.8	2.295	2.735	93.00	0	0
	48	32727.6	2.207	2.765	99.00	0	0
	49	34447.7	2.291	2.821	103.00	0	0
	50	29452.3	2.633	3.015	112.00	0	0
	51	25217.3	2.835	3.283	127.00	0	0
	52	27798.8	3.003	3.529	115.00	0	0
	53	25935.5	3.239	3.639	112.00	0	0
	54	28269.4	3.017	3.493	96.00	0	0
AI name	Run id	Throughput (ops/s)	Insert Latency 99% (ms)	Read Latency 99% (ms)	Data gen time (s)	AI Run Errors	NTP Error
ai_7	1	56026.3	0.989	1.649	51.00	0	0
	2	57790.9	0.962	1.325	46.00	0	0
	3	57323.0	0.956	1.261	46.00	0	0
	4	57515.1	0.932	1.227	42.00	0	0
	5	58447.1	0.920	1.233	51.00	0	0
	6	57029.6	0.949	1.264	53.00	0	0
	7	56175.8	0.970	1.250	54.00	0	0
	8	60915.3	0.918	1.254	50.00	0	0
	9	59151.5	0.920	1.166	45.00	0	0
	10	57519.2	1.057	1.304	45.00	0	0
	11	58333.7	0.995	1.326	46.00	0	0
	12	59254.0	0.952	1.283	48.00	0	0
	13	56545.9	1.160	1.402	46.00	0	0
	14	59414.2	0.925	1.171	51.00	0	0
	15	56530.7	1.032	1.279	46.00	0	0
	16	57218.9	1.103	1.366	51.00	0	0
	17	56175.0	1.165	1.533	47.00	0	0
	18	55484.7	1.101	1.363	50.00	0	0
	19	53795.3	1.102	1.402	54.00	0	0
	20	55664.6	1.116	1.340	47.00	0	0
	21	53856.8	1.229	1.642	47.00	0	0
	22	52920.6	1.251	1.682	48.00	0	0
	23	55384.0	1.153	1.497	47.00	0	0
	24	50522.9	1.396	2.003	51.00	0	0
	25	54200.5	1.182	1.661	48.00	0	0
	26	49119.5	1.547	2.037	54.00	0	0
	27	49642.0	1.469	1.970	57.00	0	0
	28	45037.9	1.586	2.057	57.00	0	0
	29	47696.3	1.507	1.845	53.00	0	0
	30	40974.0	1.701	2.199	51.00	0	0
	31	39948.5	2.155	2.663	53.00	0	0
	32	38854.6	2.055	2.547	53.00	0	0
	33	45195.7	1.731	2.199	67.00	0	0
	34	53589.9	1.225	1.662	55.00	0	0
	35	52833.9	1.414	2.011	77.00	0	0
	36	49100.8	1.503	2.003	68.00	0	0
	37	45598.1	1.675	2.223	62.00	0	0
	38	45720.0	1.782	2.333	55.00	0	0
	39	42418.3	2.015	2.471	65.00	0	0
	40	42911.5	1.940	2.543	79.00	0	0
	41	42050.4	1.870	2.425	73.00	0	0
	42	38697.1	1.932	2.467	65.00	0	0
	43	45893.7	1.633	2.205	57.00	0	0
	44	32849.9	2.541	3.183	72.00	0	0
	45	38273.8	2.337	2.967	70.00	0	0
	46	34444.5	2.697	3.365	71.00	0	0
	47	34972.1	2.423	2.897	79.00	0	0
	48	37953.5	2.317	2.805	84.00	0	0
	49	34515.5	2.629	3.215	91.00	0	0
	50	33838.9	2.517	3.193	75.00	0	0
	51	36368.9	2.203	2.817	81.00	0	0
	52	36667.0	2.351	2.987	86.00	0	0
	53	33844.7	2.651	3.249	90.00	0	0
AI name	Run id	Throughput (ops/s)	Insert Latency 99% (ms)	Read Latency 99% (ms)	Data gen time (s)	AI Run Errors	NTP Error
ai_9	1	54000.8	1.100	1.878	53.00	0	0
	2	54763.0	1.003	1.485	47.00	0	0
	3	54654.5	0.975	1.290	46.00	0	0
	4	54124.3	1.031	1.404	50.00	0	0
	5	53709.3	1.040	1.391	47.00	0	0
	6	55826.2	0.953	1.237	50.00	0	0
	7	55483.9	1.013	1.361	48.00	0	0
	8	57439.1	0.971	1.248	47.00	0	0
	9	58615.8	0.961	1.268	53.00	0	0
	10	56713.5	0.962	1.226	50.00	0	0
	11	56546.7	1.021	1.301	51.00	0	0
	12	57857.0	0.953	1.244	51.00	0	0
	13	56812.5	0.963	1.258	54.00	0	0
	14	57200.1	1.023	1.267	51.00	0	0
	15	55544.0	1.054	1.396	48.00	0	0
	16	57333.7	0.968	1.246	50.00	0	0
	17	55747.6	1.153	1.433	47.00	0	0
	18	52650.3	1.494	1.941	53.00	0	0
	19	53888.7	1.143	1.548	56.00	0	0
	20	51081.7	1.527	1.968	56.00	0	0
	21	46857.1	1.700	2.155	48.00	0	0
	22	51211.8	1.530	2.119	53.00	0	0
	23	47474.4	1.561	1.948	53.00	0	0
	24	48242.8	1.530	1.958	55.00	0	0
	25	48069.4	1.841	2.207	52.00	0	0
	26	48897.4	1.438	1.915	51.00	0	0
	27	48761.5	1.534	1.898	67.00	0	0
	28	47438.9	1.829	2.217	57.00	0	0
	29	45488.7	1.664	2.109	73.00	0	0
	30	40321.0	1.904	2.315	74.00	0	0
	31	40570.4	1.754	2.169	60.00	0	0
	32	39965.6	1.935	2.343	80.00	0	0
	33	40496.9	1.936	2.327	82.00	0	0
	34	42489.0	1.891	2.399	72.00	0	0
	35	37779.3	2.151	2.555	72.00	0	0
	36	38721.4	1.970	2.469	71.00	0	0
	37	42553.2	1.858	2.315	95.00	0	0
	38	36982.9	2.383	2.767	76.00	0	0
	39	30612.4	2.541	3.023	67.00	0	0
	40	33366.1	2.479	2.965	67.00	0	0
	41	30527.8	2.871	3.497	78.00	0	0
	42	31562.4	2.563	3.091	79.00	0	0
	43	26763.9	2.655	3.107	68.00	0	0
	44	27503.3	2.673	3.161	115.00	0	0
	45	28331.0	2.807	3.321	89.00	0	0
	46	26867.8	2.803	3.371	116.00	0	0
	47	26037.3	3.207	3.735	113.00	0	0
AI name	Run id	Throughput (ops/s)	Insert Latency 99% (ms)	Read Latency 99% (ms)	Data gen time (s)	AI Run Errors	NTP Error
ai_11	1	56392.8	0.986	1.844	49.00	0	0
	2	60485.1	0.981	1.412	47.00	0	0
	3	58459.9	1.092	1.413	49.00	0	0
	4	59316.4	1.068	1.415	46.00	0	0
	5	59982.6	0.943	1.258	46.00	0	0
	6	57506.0	1.125	1.368	53.00	0	0
	7	59776.4	0.927	1.179	47.00	0	0
	8	58134.5	1.008	1.296	45.00	0	0
	9	56914.4	1.085	1.296	52.00	0	0
	10	56726.3	1.136	1.370	49.00	0	0
	11	57490.3	1.117	1.350	47.00	0	0
	12	53583.4	1.125	1.382	47.00	0	0
	13	55772.4	1.119	1.369	55.00	0	0
	14	49831.2	1.466	1.985	52.00	0	0
	15	53835.1	1.219	1.716	46.00	0	0
	16	49004.6	1.534	2.103	47.00	0	0
	17	41372.7	1.788	2.245	52.00	0	0
	18	53619.3	1.329	1.912	53.00	0	0
	19	50226.0	1.528	1.927	55.00	0	0
	20	46843.3	1.560	2.067	46.00	0	0
	21	47224.4	1.491	1.782	55.00	0	0
	22	46617.9	1.585	2.042	55.00	0	0
	23	51243.3	1.386	1.743	52.00	0	0
	24	50312.6	1.434	1.864	48.00	0	0
	25	48298.1	1.511	1.998	61.00	0	0
	26	54305.8	1.250	1.688	56.00	0	0
	27	51538.4	1.285	1.698	55.00	0	0
	28	49870.3	1.578	2.071	54.00	0	0
	29	46736.1	1.694	2.135	58.00	0	0
	30	47737.3	1.626	2.021	59.00	0	0
	31	50443.9	1.505	1.953	55.00	0	0
	32	49157.6	1.565	2.087	66.00	0	0
	33	47127.0	1.703	2.379	77.00	0	0
	34	43776.1	1.933	2.579	63.00	0	0
	35	49467.6	1.544	1.995	77.00	0	0
	36	44584.1	1.718	2.251	68.00	0	0
	37	45170.2	1.952	2.663	55.00	0	0
	38	41942.8	1.987	2.581	75.00	0	0
	39	46224.6	1.861	2.413	75.00	0	0
	40	34908.9	2.499	3.161	62.00	0	0
	41	40446.1	2.159	2.741	61.00	0	0
	42	40327.5	2.169	2.801	76.00	0	0
	43	39517.9	2.177	2.627	73.00	0	0
	44	43444.3	1.934	2.599	92.00	0	0
	45	38564.3	2.173	2.835	70.00	0	0
	46	41637.2	1.937	2.577	69.00	0	0
	47	38707.2	2.405	2.905	73.00	0	0
	48	38913.2	2.197	2.795	78.00	0	0
AI name	Run id	Throughput (ops/s)	Insert Latency 99% (ms)	Read Latency 99% (ms)	Data gen time (s)	AI Run Errors	NTP Error
ai_13	1	54620.9	1.135	1.832	52.00	0	0
	2	51709.7	1.081	1.491	51.00	0	0
	3	55412.4	1.072	1.545	46.00	0	0
	4	56415.1	0.953	1.259	52.00	0	0
	5	58227.6	1.088	1.491	52.00	0	0
	6	58251.3	1.088	1.460	51.00	0	0
	7	57187.0	1.112	1.498	45.00	0	0
	8	56214.5	1.175	1.622	51.00	0	0
	9	58579.7	1.007	1.397	47.00	0	0
	10	55677.0	1.204	1.620	47.00	0	0
	11	55066.1	1.277	1.619	50.00	0	0
	12	55471.6	1.364	1.579	51.00	0	0
	13	56115.1	1.186	1.595	53.00	0	0
	14	47245.0	1.515	1.793	57.00	0	0
	15	53173.1	1.376	1.762	54.00	0	0
	16	50098.9	1.512	1.869	53.00	0	0
	17	48992.0	1.458	1.801	57.00	0	0
	18	44623.4	1.800	2.201	61.00	0	0
	19	48623.4	1.559	2.083	49.00	0	0
	20	42409.7	1.745	2.157	61.00	0	0
	21	39619.7	2.016	2.489	49.00	0	0
	22	34872.4	2.233	2.615	60.00	0	0
	23	38410.2	1.965	2.301	65.00	0	0
	24	40918.6	1.793	2.165	60.00	0	0
	25	36169.3	2.077	2.443	69.00	0	0
	26	36791.1	2.137	2.509	72.00	0	0
	27	36920.1	1.833	2.277	79.00	0	0
	28	37774.0	2.044	2.417	73.00	0	0
	29	35490.9	2.031	2.405	92.00	0	0
	30	34077.9	2.034	2.365	107.00	0	0
	31	34356.0	1.955	2.373	114.00	0	0
	32	31240.2	2.557	2.945	107.00	0	0
	33	28968.3	2.689	3.059	104.00	0	0
	34	31821.8	2.597	3.005	112.00	0	0
	35	31419.9	2.365	2.729	102.00	0	0
	36	30375.3	2.663	3.079	122.00	0	0
	37	30682.6	2.899	3.263	120.00	0	0
	38	26686.9	3.003	3.371	110.00	0	0
	39	27475.4	3.027	3.401	99.00	0	0
AI name	Run id	Throughput (ops/s)	Insert Latency 99% (ms)	Read Latency 99% (ms)	Data gen time (s)	AI Run Errors	NTP Error
ai_16	1	53106.0	1.102	1.736	50.00	0	0
	2	52096.2	1.217	1.692	53.00	0	0
	3	54329.4	1.147	1.471	47.00	0	0
	4	53992.8	1.196	1.558	47.00	0	0
	5	54415.8	1.095	1.425	54.00	0	0
	6	54922.4	1.209	1.562	54.00	0	0
	7	53877.9	1.316	1.608	51.00	0	0
	8	51347.9	1.379	1.570	51.00	0	0
	9	54596.3	1.274	1.617	52.00	0	0
	10	47955.3	1.584	1.820	47.00	0	0
	11	47924.9	1.572	1.993	54.00	0	0
	12	45898.9	1.572	1.955	52.00	0	0
	13	49786.5	1.453	1.781	62.00	0	0
	14	48197.4	1.747	2.261	72.00	0	0
	15	49732.7	1.668	2.073	65.00	0	0
	16	48284.7	1.569	2.003	86.00	0	0
	17	47383.3	1.581	2.017	88.00	0	0
	18	45189.6	1.735	2.171	91.00	0	0
	19	49284.1	1.458	1.954	78.00	0	0
	20	43606.7	1.816	2.319	79.00	0	0
	21	47009.6	1.602	2.031	90.00	0	0
	22	42217.7	1.905	2.389	76.00	0	0
	23	43268.5	1.918	2.439	75.00	0	0
	24	37403.5	2.165	2.693	91.00	0	0
	25	40466.2	1.987	2.553	77.00	0	0
	26	42685.8	1.840	2.319	81.00	0	0
	27	38320.8	1.938	2.629	86.00	0	0
	28	31277.9	2.509	3.023	102.00	0	0
	29	32514.0	2.357	2.951	96.00	0	0
	30	30438.4	2.749	3.273	81.00	0	0
	31	28843.2	2.479	2.947	99.00	0	0
	32	25347.6	2.659	3.057	109.00	0	0
	33	28023.8	2.735	3.223	94.00	0	0
	34	28313.2	2.757	3.405	93.00	0	0
	35	30363.5	2.379	2.955	110.00	0	0
	36	32772.4	2.531	3.133	104.00	0	0
AI name	Run id	Throughput (ops/s)	Insert Latency 99% (ms)	Read Latency 99% (ms)	Data gen time (s)	AI Run Errors	NTP Error
ai_17	1	55451.6	1.134	1.959	53.00	0	0
	2	54927.7	1.116	1.639	53.00	0	0
	3	54979.0	1.276	1.646	47.00	0	0
	4	52703.0	1.097	1.541	52.00	0	0
	5	56904.7	1.076	1.418	47.00	0	0
	6	56685.3	1.064	1.447	50.00	0	0
	7	56400.0	1.150	1.565	53.00	0	0
	8	55918.2	1.185	1.600	57.00	0	0
	9	54662.7	1.357	1.815	47.00	0	0
	10	48627.5	1.514	1.833	50.00	0	0
	11	50300.5	1.382	1.788	49.00	0	0
	12	51848.4	1.564	1.980	52.00	0	0
	13	50174.4	1.621	1.980	55.00	0	0
	14	55297.5	1.314	1.676	55.00	0	0
	15	47214.9	1.941	2.341	46.00	0	0
	16	43345.9	2.025	2.523	48.00	0	0
	17	51626.2	1.459	1.987	49.00	0	0
	18	54994.2	1.365	1.799	63.00	0	0
	19	47732.7	1.709	2.253	51.00	0	0
	20	42624.8	1.881	2.361	52.00	0	0
	21	40449.8	1.887	2.393	59.00	0	0
	22	47522.9	1.591	2.018	54.00	0	0
	23	45093.3	1.783	2.231	60.00	0	0
	24	42584.9	1.956	2.549	68.00	0	0
	25	41245.2	1.939	2.509	59.00	0	0
	26	47907.6	1.662	2.091	63.00	0	0
	27	42367.5	1.841	2.403	60.00	0	0
	28	42010.6	2.055	2.557	55.00	0	0
	29	44288.0	2.046	2.541	73.00	0	0
	30	41762.4	2.115	2.675	68.00	0	0
	31	36210.9	2.421	3.191	72.00	0	0
	32	35320.4	2.371	2.955	67.00	0	0
	33	31940.0	2.477	3.065	59.00	0	0
	34	32373.7	2.377	3.005	74.00	0	0
	35	32002.6	2.491	3.245	72.00	0	0
	36	35051.1	2.313	2.891	99.00	0	0
	37	33078.6	2.555	3.081	99.00	0	0
	38	33365.3	2.585	3.337	72.00	0	0
AI name	Run id	Throughput (ops/s)	Insert Latency 99% (ms)	Read Latency 99% (ms)	Data gen time (s)	AI Run Errors	NTP Error
ai_20	1	45992.9	1.377	1.905	52.00	0	0
	2	50590.6	1.329	1.730	46.00	0	0
	3	43800.1	1.673	1.950	59.00	0	0
	4	40556.4	1.662	2.007	55.00	0	0
	5	46144.6	1.642	2.075	55.00	0	0
	6	46008.7	1.707	2.081	63.00	0	0
	7	44689.7	1.615	2.005	72.00	0	0
	8	47334.5	1.555	1.846	58.00	0	0
	9	41952.5	1.858	2.323	71.00	0	0
	10	45106.5	1.958	2.427	65.00	0	0
	11	37409.0	2.217	2.625	70.00	0	0
	12	37438.8	2.032	2.439	77.00	0	0
	13	41886.6	2.105	2.539	82.00	0	0
	14	34470.6	2.177	2.565	73.00	0	0
	15	36076.7	2.063	2.435	85.00	0	0
	16	34118.3	2.201	2.657	82.00	0	0
	17	31554.7	2.573	3.019	80.00	0	0
	18	31516.2	2.553	3.005	90.00	0	0
	19	29783.6	2.397	2.793	97.00	0	0
	20	27300.8	2.867	3.237	90.00	0	0
	21	31236.6	2.751	3.083	87.00	0	0
	22	28868.8	3.235	3.719	113.00	0	0
	23	31956.0	2.605	3.017	113.00	0	0
	24	30669.9	2.483	2.917	118.00	0	0
	25	30238.7	2.935	3.379	136.00	0	0
	26	31032.5	2.759	3.229	130.00	0	0
	27	27670.2	2.931	3.367	127.00	0	0
AI name	Run id	Throughput (ops/s)	Insert Latency 99% (ms)	Read Latency 99% (ms)	Data gen time (s)	AI Run Errors	NTP Error
ai_21	1	43055.7	1.573	2.211	49.00	0	0
	2	38864.0	1.794	2.341	46.00	0	0
	3	45587.2	1.700	2.299	51.00	0	0
	4	45028.3	1.540	2.044	51.00	0	0
	5	42237.3	1.600	2.077	52.00	0	0
	6	47185.4	1.634	2.085	59.00	0	0
	7	46774.3	1.464	1.968	50.00	0	0
	8	49520.9	1.405	1.832	62.00	0	0
	9	44263.9	1.806	2.201	67.00	0	0
	10	43064.0	1.642	2.023	79.00	0	0
	11	44882.8	1.592	2.131	82.00	0	0
	12	45333.5	1.908	2.339	79.00	0	0
	13	39793.9	1.767	2.275	79.00	0	0
	14	37767.6	1.937	2.365	76.00	0	0
	15	37035.0	2.099	2.705	64.00	0	0
	16	32693.9	2.365	2.945	76.00	0	0
	17	33616.8	2.279	2.905	68.00	0	0
	18	33953.8	1.977	2.441	109.00	0	0
	19	29439.0	2.431	2.849	98.00	0	0
	20	31607.8	2.385	2.999	89.00	0	0
	21	30252.8	2.513	3.085	107.00	0	0
	22	34585.9	2.353	2.963	67.00	0	0
	23	35021.4	2.313	2.877	101.00	0	0
	24	39030.5	2.283	2.781	88.00	0	0
	25	37749.0	2.389	2.979	92.00	0	0
	26	32143.0	2.565	3.083	116.00	0	0
	27	34035.3	2.461	2.995	113.00	0	0
	28	31968.8	2.499	3.107	116.00	0	0
AI name	Run id	Throughput (ops/s)	Insert Latency 99% (ms)	Read Latency 99% (ms)	Data gen time (s)	AI Run Errors	NTP Error
ai_23	1	48180.0	1.475	2.117	70.00	0	0
	2	43951.2	1.636	2.059	64.00	0	0
	3	48619.8	1.369	1.812	65.00	0	0
	4	39969.6	1.690	2.265	57.00	0	0
	5	38744.3	1.886	2.319	63.00	0	0
	6	40028.0	2.041	2.451	70.00	0	0
	7	38604.4	1.934	2.401	85.00	0	0
	8	38133.7	2.057	2.711	77.00	0	0
	9	36356.4	1.989	2.545	91.00	0	0
	10	33473.1	1.900	2.409	81.00	0	0
	11	44598.1	1.636	2.105	99.00	0	0
	12	35482.4	2.329	2.825	101.00	0	0
	13	30849.4	2.171	2.629	108.00	0	0
	14	31205.4	2.201	2.619	99.00	0	0
	15	25199.9	2.877	3.361	109.00	0	0
	16	25709.1	2.663	3.127	103.00	0	0
	17	27558.3	2.713	3.231	85.00	0	0
	18	31161.6	2.393	3.069	101.00	0	0
	19	27805.4	2.621	3.225	109.00	0	0
	20	26544.4	2.819	3.429	100.00	0	0
	21	25510.2	2.813	3.385	127.00	0	0
	22	25157.4	2.925	3.505	103.00	0	0
AI name	Run id	Throughput (ops/s)	Insert Latency 99% (ms)	Read Latency 99% (ms)	Data gen time (s)	AI Run Errors	NTP Error
ai_26	1	40849.3	1.716	2.465	57.00	0	0
	2	41477.0	1.889	2.443	71.00	0	0
	3	37795.8	2.129	2.557	61.00	0	0
	4	45599.6	1.698	2.227	85.00	0	0
	5	44242.9	1.720	2.341	69.00	0	0
	6	40406.5	1.871	2.393	85.00	0	0
	7	40917.4	1.812	2.365	59.00	0	0
	8	41480.9	1.801	2.393	73.00	0	0
	9	41686.6	1.827	2.441	59.00	0	0
	10	39419.7	1.890	2.455	89.00	0	0
	11	34231.6	2.093	2.597	79.00	0	0
	12	35996.8	2.213	2.735	91.00	0	0
	13	29881.5	2.421	2.969	65.00	0	0
	14	33528.1	2.299	2.823	109.00	0	0
	15	33714.0	2.645	3.181	85.00	0	0
	16	32531.4	2.401	2.987	122.00	0	0
	17	33114.8	2.331	2.835	111.00	0	0
	18	35416.7	2.349	2.979	97.00	0	0
	19	28661.7	2.769	3.265	82.00	0	0
	20	30790.5	2.737	3.239	117.00	0	0
	21	28343.9	2.989	3.549	108.00	0	0
AI name	Run id	Throughput (ops/s)	Insert Latency 99% (ms)	Read Latency 99% (ms)	Data gen time (s)	AI Run Errors	NTP Error
ai_27	1	40446.1	1.767	2.431	63.00	0	0
	2	42903.3	1.696	2.297	49.00	0	0
	3	48753.1	1.548	2.109	58.00	0	0
	4	42138.5	1.796	2.399	75.00	0	0
	5	43774.7	1.885	2.527	71.00	0	0
	6	43780.0	1.678	2.329	80.00	0	0
	7	40767.2	1.904	2.529	64.00	0	0
	8	40203.0	2.045	2.625	86.00	0	0
	9	39209.2	2.057	2.813	79.00	0	0
	10	43186.3	1.759	2.249	69.00	0	0
	11	47720.7	1.635	2.241	79.00	0	0
	12	35047.4	2.161	2.757	75.00	0	0
	13	35927.6	2.267	2.927	74.00	0	0
	14	29812.3	2.835	3.397	83.00	0	0
	15	30661.9	2.619	3.173	77.00	0	0
	16	28768.7	2.561	3.097	74.00	0	0
	17	30686.8	2.447	3.015	109.00	0	0
	18	30244.8	2.963	3.471	129.00	0	0
	19	26203.2	2.933	3.483	107.00	0	0
	20	27497.8	3.147	3.647	102.00	0	0
AI name	Run id	Throughput (ops/s)	Insert Latency 99% (ms)	Read Latency 99% (ms)	Data gen time (s)	AI Run Errors	NTP Error
ai_29	1	37303.3	1.847	2.423	70.00	0	0
	2	39618.1	1.819	2.305	66.00	0	0
	3	39705.4	1.667	2.131	68.00	0	0
	4	39077.0	1.827	2.367	61.00	0	0
	5	40647.5	1.734	2.273	86.00	0	0
	6	33467.8	2.032	2.491	83.00	0	0
	7	33662.1	2.038	2.615	63.00	0	0
	8	33046.4	2.331	2.777	101.00	0	0
	9	36066.6	1.956	2.485	89.00	0	0
	10	29391.0	2.701	3.361	108.00	0	0
	11	30274.1	2.457	2.973	93.00	0	0
	12	30854.4	2.297	2.953	90.00	0	0
	13	31626.6	2.383	2.951	90.00	0	0
	14	30258.8	2.539	3.061	91.00	0	0
	15	28356.5	2.531	3.189	118.00	0	0
	16	28687.2	2.441	3.001	96.00	0	0
AI name	Run id	Throughput (ops/s)	Insert Latency 99% (ms)	Read Latency 99% (ms)	Data gen time (s)	AI Run Errors	NTP Error
ai_32	1	40405.7	2.036	2.621	60.00	0	0
	2	42657.6	1.877	2.499	67.00	0	0
	3	45883.7	1.808	2.325	58.00	0	0
	4	47020.1	1.783	2.217	53.00	0	0
	5	49711.7	1.617	2.169	54.00	0	0
	6	40640.5	2.217	2.927	61.00	0	0
	7	47187.6	1.630	2.275	52.00	0	0
	8	43531.7	1.867	2.497	67.00	0	0
	9	42693.1	2.113	2.899	65.00	0	0
	10	38094.1	2.161	2.775	73.00	0	0
	11	40632.2	2.079	2.687	60.00	0	0
	12	30138.4	2.221	2.693	78.00	0	0
	13	29690.3	2.663	3.091	64.00	0	0
	14	33913.8	2.085	2.573	62.00	0	0
	15	36047.1	2.211	2.767	93.00	0	0
	16	34988.3	2.421	2.987	110.00	0	0
AI name	Run id	Throughput (ops/s)	Insert Latency 99% (ms)	Read Latency 99% (ms)	Data gen time (s)	AI Run Errors	NTP Error
ai_33	1	31735.7	2.413	3.085	82.00	0	0
	2	31827.6	2.323	2.857	78.00	0	0
	3	30542.7	2.367	2.843	89.00	0	0
	4	34276.5	2.177	2.659	84.00	0	0
	5	28365.2	2.827	3.343	102.00	0	0
	6	31355.1	2.455	2.955	91.00	0	0
	7	28364.4	2.509	2.957	94.00	0	0
	8	28170.0	2.625	3.035	98.00	0	0
	9	30980.1	2.587	3.079	91.00	0	0
	10	31223.4	2.665	3.141	114.00	0	0
	11	28446.7	2.817	3.337	98.00	0	0
AI name	Run id	Throughput (ops/s)	Insert Latency 99% (ms)	Read Latency 99% (ms)	Data gen time (s)	AI Run Errors	NTP Error
ai_35	1	31811.2	2.445	3.121	90.00	0	0
	2	33978.4	2.441	3.019	108.00	0	0
	3	30481.5	2.551	3.151	115.00	0	0
	4	28749.3	2.685	3.107	106.00	0	0
	5	28884.6	2.559	3.107	137.00	0	0
	6	29302.5	2.981	3.435	117.00	0	0
	7	25689.1	3.195	3.707	108.00	0	0
	8	28756.1	3.341	3.815	127.00	0	0
AI name	Run id	Throughput (ops/s)	Insert Latency 99% (ms)	Read Latency 99% (ms)	Data gen time (s)	AI Run Errors	NTP Error
ai_37	1	31958.6	2.811	3.495	76.00	0	0
	2	29897.6	2.563	3.051	92.00	0	0
	3	25765.9	2.623	3.017	133.00	0	0
	4	27489.9	2.685	3.215	146.00	0	0
	5	28494.3	2.593	3.163	108.00	0	0
	6	26770.4	2.687	3.195	121.00	0	0
AI name	Run id	Throughput (ops/s)	Insert Latency 99% (ms)	Read Latency 99% (ms)	Data gen time (s)	AI Run Errors	NTP Error
ai_40	1	30844.7	2.617	3.379	91.00	0	0
	2	31052.3	2.649	3.361	72.00	0	0
	3	33920.4	2.205	2.921	77.00	0	0
	4	35018.0	2.409	3.219	79.00	0	0
	5	34868.7	2.643	3.527	82.00	0	0
AI name	Run id	Throughput (ops/s)	Insert Latency 99% (ms)	Read Latency 99% (ms)	Data gen time (s)	AI Run Errors	NTP Error
ai_42	1	24435.2	2.869	3.381	117.00	0	0
ai_42	2	24730.1	2.877	3.323	84.00	0	0
AI name	Run id	Throughput (ops/s)	Insert Latency 99% (ms)	Read Latency 99% (ms)	Data gen time (s)	AI Run Errors	NTP Error
ai_44	1	33898.6	2.293	2.971	104.00	0	0

KMeans Detailed Results for Application Instance Runs
AI name	Run id	Completion Times (s)	Hadoop Iterations	Data gen time (s)	AI Run Errors	NTP Error
ai_2	1	92	4	22.00	0	0
	2	100	5	18.00	0	0
	3	65	3	18.00	0	0
	4	63	3	17.00	0	0
	5	96	5	18.00	0	0
	6	48	2	20.00	0	0
	7	46	2	24.00	0	0
	8	81	4	20.00	0	0
	9	95	5	17.00	0	0
	10	60	3	24.00	0	0
	11	63	3	17.00	0	0
	12	47	2	19.00	0	0
	13	92	5	18.00	0	0
	14	62	3	18.00	0	0
	15	92	5	17.00	0	0
	16	63	3	20.00	0	0
	17	78	4	19.00	0	0
	18	64	3	18.00	0	0
	19	68	3	19.00	0	0
	20	63	3	18.00	0	0
	21	64	3	20.00	0	0
	22	62	3	20.00	0	0
	23	75	4	22.00	0	0
	24	47	2	19.00	0	0
	25	77	4	22.00	0	0
	26	47	2	19.00	0	0
	27	48	2	18.00	0	0
	28	94	5	19.00	0	0
	29	86	4	19.00	0	0
	30	95	5	18.00	0	0
	31	49	2	20.00	0	0
	32	63	3	18.00	0	0
	33	92	5	23.00	0	0
	34	48	2	19.00	0	0
	35	64	3	20.00	0	0
	36	48	2	21.00	0	0
	37	78	4	19.00	0	0
	38	52	2	19.00	0	0
	39	94	5	20.00	0	0
	40	49	2	20.00	0	0
	41	98	5	23.00	0	0
	42	99	5	19.00	0	0
	43	72	3	23.00	0	0
	44	82	4	19.00	0	0
	45	101	5	21.00	0	0
	46	98	5	19.00	0	0
	47	81	4	19.00	0	0
	48	50	2	20.00	0	0
	49	52	2	21.00	0	0
	50	68	3	20.00	0	0
	51	99	5	18.00	0	0
	52	50	2	19.00	0	0
	53	56	2	24.00	0	0
	54	84	4	20.00	0	0
	55	99	5	20.00	0	0
	56	66	3	19.00	0	0
	57	72	3	24.00	0	0
	58	67	3	20.00	0	0
	59	112	5	20.00	0	0
	60	97	4	22.00	0	0
	61	67	3	20.00	0	0
	62	53	2	21.00	0	0
	63	69	3	21.00	0	0
	64	85	4	22.00	0	0
65	103	5	22.00	0	0
66	90	4	20.00	0	0
67	68	3	20.00	0	0
68	87	4	22.00	0	0
69	73	3	22.00	0	0
70	91	4	21.00	0	0
71	109	5	22.00	0	0
72	118	5	22.00	0	0
73	103	5	19.00	0	0
74	53	2	24.00	0	0
75	69	3	22.00	0	0
76	105	5	22.00	0	0
77	73	3	26.00	0	0
78	73	3	24.00	0	0
79	73	3	26.00	0	0
80	106	5	21.00	0	0
81	112	5	24.00	0	0
82	73	3	21.00	0	0
83	90	4	25.00	0	0
84	73	3	23.00	0	0
85	103	4	21.00	0	0
86	54	2	21.00	0	0
87	108	5	27.00	0	0
88	90	4	22.00	0	0
89	88	4	21.00	0	0
90	89	4	23.00	0	0
91	56	2	21.00	0	0
92	97	4	27.00	0	0
93	107	5	23.00	0	0
94	111	5	22.00	0	0
95	74	3	23.00	0	0
96	75	3	21.00	0	0
AI name	Run id	Completion Times (s)	Hadoop Iterations	Data gen time (s)	AI Run Errors	NTP Error
ai_3	1	69	3	20.00	0	0
	2	94	5	19.00	0	0
	3	54	2	17.00	0	0
	4	80	4	18.00	0	0
	5	48	2	18.00	0	0
	6	77	4	20.00	0	0
	7	66	3	20.00	0	0
	8	63	3	19.00	0	0
	9	62	3	19.00	0	0
	10	62	3	19.00	0	0
	11	81	4	22.00	0	0
	12	89	4	18.00	0	0
	13	49	2	18.00	0	0
	14	46	2	18.00	0	0
	15	50	2	19.00	0	0
	16	101	5	23.00	0	0
	17	96	5	18.00	0	0
	18	47	2	19.00	0	0
	19	46	2	18.00	0	0
	20	49	2	18.00	0	0
	21	93	5	19.00	0	0
	22	62	3	23.00	0	0
	23	47	2	24.00	0	0
	24	93	5	18.00	0	0
	25	65	3	19.00	0	0
	26	93	5	18.00	0	0
	27	80	4	21.00	0	0
	28	94	5	21.00	0	0
	29	63	3	19.00	0	0
	30	67	3	18.00	0	0
	31	64	3	20.00	0	0
	32	85	4	20.00	0	0
	33	50	2	22.00	0	0
	34	96	5	20.00	0	0
	35	100	5	18.00	0	0
	36	95	5	19.00	0	0
	37	96	5	21.00	0	0
	38	50	2	18.00	0	0
	39	96	5	23.00	0	0
	40	99	5	23.00	0	0
	41	78	4	19.00	0	0
	42	49	2	20.00	0	0
	43	56	2	20.00	0	0
	44	66	3	21.00	0	0
	45	104	5	19.00	0	0
	46	63	3	20.00	0	0
	47	66	3	19.00	0	0
	48	93	4	20.00	0	0
	49	49	2	19.00	0	0
	50	51	2	23.00	0	0
	51	55	2	20.00	0	0
	52	78	4	19.00	0	0
	53	52	2	19.00	0	0
	54	102	5	21.00	0	0
	55	76	3	21.00	0	0
	56	98	5	19.00	0	0
	57	66	3	20.00	0	0
	58	73	3	20.00	0	0
	59	66	3	20.00	0	0
	60	68	3	20.00	0	0
	61	50	2	21.00	0	0
	62	37	1	24.00	0	0
	63	72	3	25.00	0	0
	64	97	5	20.00	0	0
65	52	2	21.00	0	0
66	52	2	19.00	0	0
67	53	2	20.00	0	0
68	51	2	18.00	0	0
69	53	2	20.00	0	0
70	107	5	20.00	0	0
71	71	3	22.00	0	0
72	70	3	20.00	0	0
73	51	2	20.00	0	0
74	67	3	21.00	0	0
75	67	3	21.00	0	0
76	91	4	22.00	0	0
77	53	2	20.00	0	0
78	84	4	20.00	0	0
79	74	3	21.00	0	0
80	76	3	21.00	0	0
81	52	2	21.00	0	0
82	56	2	20.00	0	0
83	51	2	22.00	0	0
84	68	3	21.00	0	0
85	60	2	22.00	0	0
86	53	2	20.00	0	0
87	51	2	26.00	0	0
88	52	2	21.00	0	0
89	102	5	21.00	0	0
90	68	3	25.00	0	0
91	77	3	21.00	0	0
92	105	5	21.00	0	0
93	54	2	22.00	0	0
94	71	3	22.00	0	0
95	75	3	22.00	0	0
96	111	5	21.00	0	0
97	107	5	26.00	0	0
98	108	5	23.00	0	0
AI name	Run id	Completion Times (s)	Hadoop Iterations	Data gen time (s)	AI Run Errors	NTP Error
ai_5	1	50	2	23.00	0	0
	2	64	3	19.00	0	0
	3	70	3	23.00	0	0
	4	90	5	19.00	0	0
	5	93	5	20.00	0	0
	6	66	3	21.00	0	0
	7	101	5	20.00	0	0
	8	79	4	21.00	0	0
	9	63	3	19.00	0	0
	10	95	5	21.00	0	0
	11	62	3	19.00	0	0
	12	48	2	19.00	0	0
	13	96	5	19.00	0	0
	14	78	4	17.00	0	0
	15	98	5	18.00	0	0
	16	70	3	18.00	0	0
	17	75	4	19.00	0	0
	18	82	4	21.00	0	0
	19	51	2	20.00	0	0
	20	80	4	19.00	0	0
	21	93	5	19.00	0	0
	22	46	2	19.00	0	0
	23	91	5	20.00	0	0
	24	93	5	21.00	0	0
	25	53	2	24.00	0	0
	26	61	3	19.00	0	0
	27	61	3	19.00	0	0
	28	97	5	22.00	0	0
	29	51	2	19.00	0	0
	30	48	2	21.00	0	0
	31	69	3	20.00	0	0
	32	79	4	19.00	0	0
	33	66	3	20.00	0	0
	34	49	2	18.00	0	0
	35	37	1	19.00	0	0
	36	93	4	21.00	0	0
	37	65	3	23.00	0	0
	38	63	3	18.00	0	0
	39	50	2	19.00	0	0
	40	67	3	21.00	0	0
	41	67	3	20.00	0	0
	42	69	3	20.00	0	0
	43	55	2	19.00	0	0
	44	73	3	21.00	0	0
	45	52	2	19.00	0	0
	46	99	5	21.00	0	0
	47	70	3	20.00	0	0
	48	104	5	21.00	0	0
	49	54	2	23.00	0	0
	50	54	2	20.00	0	0
	51	103	5	24.00	0	0
	52	98	5	20.00	0	0
	53	100	5	21.00	0	0
	54	84	4	25.00	0	0
	55	51	2	21.00	0	0
	56	73	3	22.00	0	0
	57	101	5	20.00	0	0
	58	101	5	21.00	0	0
	59	101	5	20.00	0	0
	60	104	5	21.00	0	0
	61	87	4	22.00	0	0
	62	54	2	20.00	0	0
	63	53	2	20.00	0	0
	64	110	5	25.00	0	0
65	104	5	21.00	0	0
66	73	3	26.00	0	0
67	53	2	23.00	0	0
68	54	2	22.00	0	0
69	55	2	20.00	0	0
70	56	2	22.00	0	0
71	55	2	23.00	0	0
72	52	2	22.00	0	0
73	101	5	22.00	0	0
74	60	2	21.00	0	0
75	107	5	23.00	0	0
76	63	2	21.00	0	0
77	104	5	22.00	0	0
78	55	2	21.00	0	0
79	53	2	23.00	0	0
80	54	2	23.00	0	0
81	54	2	21.00	0	0
82	53	2	26.00	0	0
83	72	3	23.00	0	0
84	108	5	21.00	0	0
85	105	5	21.00	0	0
86	53	2	21.00	0	0
87	55	2	21.00	0	0
88	72	3	22.00	0	0
89	55	2	24.00	0	0
90	63	2	20.00	0	0
91	95	4	22.00	0	0
AI name	Run id	Completion Times (s)	Hadoop Iterations	Data gen time (s)	AI Run Errors	NTP Error
ai_8	1	94	5	20.00	0	0
	2	48	2	21.00	0	0
	3	94	5	21.00	0	0
	4	101	5	19.00	0	0
	5	93	5	18.00	0	0
	6	100	5	20.00	0	0
	7	100	5	19.00	0	0
	8	33	1	20.00	0	0
	9	48	2	19.00	0	0
	10	69	3	18.00	0	0
	11	62	3	19.00	0	0
	12	88	4	21.00	0	0
	13	57	2	21.00	0	0
	14	69	3	21.00	0	0
	15	66	3	18.00	0	0
	16	51	2	19.00	0	0
	17	50	2	19.00	0	0
	18	49	2	20.00	0	0
	19	79	4	23.00	0	0
	20	97	5	20.00	0	0
	21	47	2	23.00	0	0
	22	51	2	18.00	0	0
	23	53	2	20.00	0	0
	24	98	5	18.00	0	0
	25	63	3	20.00	0	0
	26	48	2	21.00	0	0
	27	34	1	19.00	0	0
	28	80	4	18.00	0	0
	29	78	4	20.00	0	0
	30	50	2	20.00	0	0
	31	68	3	20.00	0	0
	32	50	2	20.00	0	0
	33	80	4	20.00	0	0
	34	81	4	18.00	0	0
	35	51	2	19.00	0	0
	36	97	5	21.00	0	0
	37	50	2	20.00	0	0
	38	67	3	23.00	0	0
	39	49	2	21.00	0	0
	40	108	5	19.00	0	0
	41	70	3	19.00	0	0
	42	34	1	21.00	0	0
	43	50	2	22.00	0	0
	44	67	3	21.00	0	0
	45	87	4	20.00	0	0
	46	87	4	20.00	0	0
	47	98	5	19.00	0	0
	48	105	5	21.00	0	0
	49	83	4	21.00	0	0
	50	77	3	19.00	0	0
	51	101	5	21.00	0	0
	52	74	3	20.00	0	0
	53	95	5	19.00	0	0
	54	98	5	20.00	0	0
	55	61	2	19.00	0	0
	56	49	2	23.00	0	0
	57	99	5	20.00	0	0
	58	52	2	20.00	0	0
	59	94	4	25.00	0	0
	60	103	5	20.00	0	0
	61	53	2	23.00	0	0
	62	75	3	23.00	0	0
	63	68	3	23.00	0	0
	64	104	5	21.00	0	0
65	55	2	20.00	0	0
66	102	5	21.00	0	0
67	103	5	20.00	0	0
68	53	2	20.00	0	0
69	100	5	21.00	0	0
70	70	3	20.00	0	0
71	72	3	21.00	0	0
72	68	3	22.00	0	0
73	56	2	21.00	0	0
74	63	2	21.00	0	0
75	58	2	22.00	0	0
76	101	5	22.00	0	0
77	57	2	25.00	0	0
78	76	3	22.00	0	0
79	105	5	22.00	0	0
80	56	2	20.00	0	0
81	55	2	20.00	0	0
82	85	4	20.00	0	0
83	73	3	21.00	0	0
84	90	4	25.00	0	0
85	88	4	21.00	0	0
AI name	Run id	Completion Times (s)	Hadoop Iterations	Data gen time (s)	AI Run Errors	NTP Error
ai_10	1	97	5	21.00	0	0
	2	49	2	19.00	0	0
	3	77	4	18.00	0	0
	4	51	2	20.00	0	0
	5	80	4	19.00	0	0
	6	87	4	19.00	0	0
	7	89	5	19.00	0	0
	8	65	3	20.00	0	0
	9	50	2	19.00	0	0
	10	63	3	19.00	0	0
	11	86	4	20.00	0	0
	12	66	3	19.00	0	0
	13	79	4	19.00	0	0
	14	64	3	18.00	0	0
	15	51	2	19.00	0	0
	16	69	3	24.00	0	0
	17	48	2	19.00	0	0
	18	66	3	24.00	0	0
	19	98	5	18.00	0	0
	20	77	4	20.00	0	0
	21	82	4	23.00	0	0
	22	95	5	24.00	0	0
	23	69	3	19.00	0	0
	24	69	3	19.00	0	0
	25	83	4	20.00	0	0
	26	50	2	19.00	0	0
	27	64	3	19.00	0	0
	28	50	2	20.00	0	0
	29	86	4	19.00	0	0
	30	68	3	19.00	0	0
	31	97	5	19.00	0	0
	32	109	5	20.00	0	0
	33	50	2	20.00	0	0
	34	72	3	24.00	0	0
	35	53	2	20.00	0	0
	36	84	4	20.00	0	0
	37	48	2	24.00	0	0
	38	51	2	21.00	0	0
	39	39	1	22.00	0	0
	40	55	2	24.00	0	0
	41	83	4	21.00	0	0
	42	81	4	21.00	0	0
	43	99	5	23.00	0	0
	44	79	3	21.00	0	0
	45	99	5	24.00	0	0
	46	86	4	21.00	0	0
	47	86	4	20.00	0	0
	48	92	4	21.00	0	0
	49	86	4	22.00	0	0
	50	57	2	22.00	0	0
	51	69	3	22.00	0	0
	52	54	2	21.00	0	0
	53	73	3	24.00	0	0
	54	38	1	21.00	0	0
	55	93	4	22.00	0	0
	56	71	3	21.00	0	0
	57	107	5	20.00	0	0
	58	57	2	21.00	0	0
	59	61	2	22.00	0	0
	60	78	3	22.00	0	0
	61	79	3	22.00	0	0
	62	98	4	20.00	0	0
	63	58	2	21.00	0	0
	64	70	3	21.00	0	0
65	72	3	23.00	0	0
66	112	5	21.00	0	0
67	106	5	20.00	0	0
68	53	2	25.00	0	0
69	72	3	21.00	0	0
70	64	2	27.00	0	0
71	91	4	26.00	0	0
72	91	4	23.00	0	0
73	102	5	23.00	0	0
74	75	3	21.00	0	0
75	93	4	26.00	0	0
76	53	2	24.00	0	0
77	122	5	21.00	0	0
78	92	4	21.00	0	0
79	76	3	23.00	0	0
AI name	Run id	Completion Times (s)	Hadoop Iterations	Data gen time (s)	AI Run Errors	NTP Error
ai_12	1	95	5	23.00	0	0
	2	78	4	18.00	0	0
	3	84	4	18.00	0	0
	4	98	5	21.00	0	0
	5	86	4	20.00	0	0
	6	48	2	19.00	0	0
	7	48	2	20.00	0	0
	8	65	3	19.00	0	0
	9	77	4	19.00	0	0
	10	66	3	19.00	0	0
	11	80	4	21.00	0	0
	12	97	5	19.00	0	0
	13	108	5	24.00	0	0
	14	93	5	19.00	0	0
	15	89	4	20.00	0	0
	16	84	4	19.00	0	0
	17	49	2	18.00	0	0
	18	49	2	21.00	0	0
	19	85	4	19.00	0	0
	20	50	2	20.00	0	0
	21	67	3	22.00	0	0
	22	55	2	22.00	0	0
	23	53	2	18.00	0	0
	24	51	2	21.00	0	0
	25	50	2	20.00	0	0
	26	66	3	19.00	0	0
	27	84	4	21.00	0	0
	28	49	2	20.00	0	0
	29	66	3	21.00	0	0
	30	85	4	22.00	0	0
	31	68	3	22.00	0	0
	32	65	3	21.00	0	0
	33	54	2	21.00	0	0
	34	99	5	22.00	0	0
	35	36	1	22.00	0	0
	36	73	3	21.00	0	0
	37	99	5	20.00	0	0
	38	86	4	20.00	0	0
	39	104	5	21.00	0	0
	40	99	5	20.00	0	0
	41	83	4	22.00	0	0
	42	67	3	21.00	0	0
	43	96	5	20.00	0	0
	44	54	2	21.00	0	0
	45	53	2	20.00	0	0
	46	117	5	20.00	0	0
	47	52	2	20.00	0	0
	48	102	5	21.00	0	0
	49	76	3	26.00	0	0
	50	58	2	21.00	0	0
	51	72	3	22.00	0	0
	52	103	5	22.00	0	0
	53	35	1	21.00	0	0
	54	103	5	21.00	0	0
	55	55	2	21.00	0	0
	56	70	3	23.00	0	0
	57	52	2	21.00	0	0
	58	52	2	21.00	0	0
	59	72	3	20.00	0	0
	60	72	3	23.00	0	0
	61	73	3	21.00	0	0
	62	70	3	21.00	0	0
	63	54	2	21.00	0	0
	64	55	2	24.00	0	0
65	51	2	21.00	0	0
66	54	2	22.00	0	0
67	41	1	22.00	0	0
68	77	3	21.00	0	0
69	73	3	21.00	0	0
70	105	5	23.00	0	0
71	75	3	27.00	0	0
72	110	5	23.00	0	0
73	88	4	22.00	0	0
74	53	2	22.00	0	0
75	73	3	22.00	0	0
76	112	5	27.00	0	0
AI name	Run id	Completion Times (s)	Hadoop Iterations	Data gen time (s)	AI Run Errors	NTP Error
ai_14	1	95	5	22.00	0	0
	2	95	5	18.00	0	0
	3	97	5	19.00	0	0
	4	91	5	20.00	0	0
	5	97	5	20.00	0	0
	6	64	3	20.00	0	0
	7	66	3	19.00	0	0
	8	86	4	19.00	0	0
	9	67	3	20.00	0	0
	10	101	5	20.00	0	0
	11	77	4	21.00	0	0
	12	83	4	19.00	0	0
	13	49	2	21.00	0	0
	14	64	3	19.00	0	0
	15	66	3	19.00	0	0
	16	50	2	19.00	0	0
	17	74	3	18.00	0	0
	18	49	2	20.00	0	0
	19	50	2	20.00	0	0
	20	49	2	20.00	0	0
	21	81	4	19.00	0	0
	22	82	4	21.00	0	0
	23	69	3	23.00	0	0
	24	102	5	23.00	0	0
	25	55	2	21.00	0	0
	26	107	5	21.00	0	0
	27	68	3	20.00	0	0
	28	70	3	20.00	0	0
	29	72	3	21.00	0	0
	30	87	4	25.00	0	0
	31	99	5	20.00	0	0
	32	80	3	21.00	0	0
	33	51	2	22.00	0	0
	34	90	4	25.00	0	0
	35	52	2	21.00	0	0
	36	70	3	21.00	0	0
	37	53	2	22.00	0	0
	38	66	3	22.00	0	0
	39	57	2	22.00	0	0
	40	84	4	21.00	0	0
	41	51	2	23.00	0	0
	42	58	2	22.00	0	0
	43	100	4	20.00	0	0
	44	58	2	22.00	0	0
	45	71	3	21.00	0	0
	46	86	4	22.00	0	0
	47	75	3	24.00	0	0
	48	105	5	20.00	0	0
	49	68	3	23.00	0	0
	50	94	4	22.00	0	0
	51	73	3	20.00	0	0
	52	74	3	22.00	0	0
	53	105	5	23.00	0	0
	54	72	3	23.00	0	0
	55	71	3	21.00	0	0
	56	88	4	22.00	0	0
	57	88	4	21.00	0	0
	58	115	5	26.00	0	0
	59	59	2	23.00	0	0
	60	59	2	21.00	0	0
	61	78	3	23.00	0	0
	62	101	4	22.00	0	0
	63	75	3	21.00	0	0
	64	70	3	21.00	0	0
65	73	3	22.00	0	0
66	59	2	26.00	0	0
67	105	5	22.00	0	0
68	59	2	26.00	0	0
69	76	3	26.00	0	0
70	60	2	22.00	0	0
AI name	Run id	Completion Times (s)	Hadoop Iterations	Data gen time (s)	AI Run Errors	NTP Error
ai_15	1	83	4	21.00	0	0
	2	85	4	20.00	0	0
	3	102	5	19.00	0	0
	4	70	3	18.00	0	0
	5	78	4	22.00	0	0
	6	65	3	20.00	0	0
	7	53	2	20.00	0	0
	8	48	2	19.00	0	0
	9	79	4	19.00	0	0
	10	47	2	18.00	0	0
	11	53	2	19.00	0	0
	12	65	3	18.00	0	0
	13	66	3	18.00	0	0
	14	80	4	19.00	0	0
	15	96	5	21.00	0	0
	16	65	3	22.00	0	0
	17	107	5	24.00	0	0
	18	95	5	19.00	0	0
	19	81	4	24.00	0	0
	20	99	5	20.00	0	0
	21	107	5	24.00	0	0
	22	51	2	21.00	0	0
	23	68	3	20.00	0	0
	24	72	3	20.00	0	0
	25	68	3	18.00	0	0
	26	101	5	21.00	0	0
	27	111	5	19.00	0	0
	28	51	2	22.00	0	0
	29	105	5	23.00	0	0
	30	52	2	20.00	0	0
	31	104	5	26.00	0	0
	32	67	3	22.00	0	0
	33	52	2	19.00	0	0
	34	91	4	20.00	0	0
	35	109	5	21.00	0	0
	36	53	2	21.00	0	0
	37	52	2	22.00	0	0
	38	99	5	21.00	0	0
	39	87	4	24.00	0	0
	40	86	4	21.00	0	0
	41	69	3	23.00	0	0
	42	86	4	20.00	0	0
	43	60	2	24.00	0	0
	44	102	5	21.00	0	0
	45	106	5	22.00	0	0
	46	54	2	22.00	0	0
	47	107	5	23.00	0	0
	48	73	3	20.00	0	0
	49	37	1	22.00	0	0
	50	111	5	22.00	0	0
	51	54	2	22.00	0	0
	52	38	1	23.00	0	0
	53	56	2	23.00	0	0
	54	73	3	23.00	0	0
	55	116	5	27.00	0	0
	56	59	2	23.00	0	0
	57	51	2	21.00	0	0
	58	41	1	21.00	0	0
	59	102	5	23.00	0	0
	60	71	3	22.00	0	0
	61	119	5	25.00	0	0
	62	104	5	26.00	0	0
	63	72	3	23.00	0	0
	64	55	2	23.00	0	0
65	89	4	20.00	0	0
66	119	5	22.00	0	0
AI name	Run id	Completion Times (s)	Hadoop Iterations	Data gen time (s)	AI Run Errors	NTP Error
ai_18	1	52	2	21.00	0	0
	2	52	2	23.00	0	0
	3	51	2	20.00	0	0
	4	66	3	20.00	0	0
	5	48	2	19.00	0	0
	6	49	2	20.00	0	0
	7	51	2	19.00	0	0
	8	52	2	21.00	0	0
	9	93	5	20.00	0	0
	10	49	2	19.00	0	0
	11	101	5	21.00	0	0
	12	65	3	24.00	0	0
	13	65	3	20.00	0	0
	14	102	5	20.00	0	0
	15	103	5	18.00	0	0
	16	96	5	19.00	0	0
	17	52	2	20.00	0	0
	18	78	3	20.00	0	0
	19	54	2	20.00	0	0
	20	53	2	20.00	0	0
	21	68	3	20.00	0	0
	22	86	4	21.00	0	0
	23	102	5	24.00	0	0
	24	84	4	21.00	0	0
	25	69	3	25.00	0	0
	26	54	2	21.00	0	0
	27	108	5	21.00	0	0
	28	88	4	22.00	0	0
	29	55	2	21.00	0	0
	30	81	4	20.00	0	0
	31	51	2	22.00	0	0
	32	119	5	24.00	0	0
	33	106	5	21.00	0	0
	34	105	5	20.00	0	0
	35	105	5	20.00	0	0
	36	107	5	22.00	0	0
	37	68	3	21.00	0	0
	38	37	1	21.00	0	0
	39	70	3	22.00	0	0
	40	69	3	21.00	0	0
	41	79	3	21.00	0	0
	42	77	3	25.00	0	0
	43	89	4	25.00	0	0
	44	56	2	22.00	0	0
	45	104	5	26.00	0	0
	46	107	5	22.00	0	0
	47	90	4	20.00	0	0
	48	52	2	21.00	0	0
	49	53	2	20.00	0	0
	50	74	3	23.00	0	0
	51	116	5	22.00	0	0
	52	80	3	22.00	0	0
	53	104	5	27.00	0	0
	54	56	2	24.00	0	0
	55	104	5	20.00	0	0
	56	91	4	22.00	0	0
	57	72	3	22.00	0	0
	58	107	5	22.00	0	0
	59	87	4	22.00	0	0
	60	102	5	24.00	0	0
AI name	Run id	Completion Times (s)	Hadoop Iterations	Data gen time (s)	AI Run Errors	NTP Error
ai_19	1	100	5	22.00	0	0
	2	95	5	20.00	0	0
	3	53	2	20.00	0	0
	4	97	5	20.00	0	0
	5	63	3	24.00	0	0
	6	108	5	20.00	0	0
	7	98	5	21.00	0	0
	8	85	4	21.00	0	0
	9	97	5	23.00	0	0
	10	96	5	19.00	0	0
	11	33	1	20.00	0	0
	12	52	2	24.00	0	0
	13	97	5	20.00	0	0
	14	34	1	20.00	0	0
	15	86	4	21.00	0	0
	16	99	5	20.00	0	0
	17	98	5	20.00	0	0
	18	66	3	21.00	0	0
	19	104	5	21.00	0	0
	20	67	3	20.00	0	0
	21	51	2	21.00	0	0
	22	67	3	21.00	0	0
	23	65	3	22.00	0	0
	24	66	3	22.00	0	0
	25	50	2	21.00	0	0
	26	57	2	20.00	0	0
	27	85	4	20.00	0	0
	28	96	5	22.00	0	0
	29	69	3	20.00	0	0
	30	68	3	24.00	0	0
	31	85	4	23.00	0	0
	32	67	3	23.00	0	0
	33	81	3	22.00	0	0
	34	51	2	20.00	0	0
	35	102	5	22.00	0	0
	36	70	3	22.00	0	0
	37	61	2	21.00	0	0
	38	57	2	20.00	0	0
	39	83	4	21.00	0	0
	40	69	3	20.00	0	0
	41	38	1	20.00	0	0
	42	71	3	22.00	0	0
	43	102	5	21.00	0	0
	44	54	2	21.00	0	0
	45	112	5	22.00	0	0
	46	53	2	24.00	0	0
	47	87	4	22.00	0	0
	48	52	2	21.00	0	0
	49	53	2	20.00	0	0
	50	84	4	21.00	0	0
	51	87	4	23.00	0	0
	52	104	5	21.00	0	0
	53	106	5	25.00	0	0
	54	56	2	23.00	0	0
	55	108	5	24.00	0	0
	56	60	2	25.00	0	0
	57	117	5	22.00	0	0
	58	58	2	21.00	0	0
AI name	Run id	Completion Times (s)	Hadoop Iterations	Data gen time (s)	AI Run Errors	NTP Error
ai_22	1	52	2	23.00	0	0
	2	93	4	20.00	0	0
	3	74	3	22.00	0	0
	4	70	3	20.00	0	0
	5	69	3	19.00	0	0
	6	100	5	20.00	0	0
	7	82	4	20.00	0	0
	8	81	4	21.00	0	0
	9	51	2	21.00	0	0
	10	86	4	22.00	0	0
	11	68	3	20.00	0	0
	12	52	2	23.00	0	0
	13	82	4	23.00	0	0
	14	94	4	23.00	0	0
	15	36	1	20.00	0	0
	16	52	2	21.00	0	0
	17	94	4	18.00	0	0
	18	111	5	20.00	0	0
	19	86	4	26.00	0	0
	20	69	3	22.00	0	0
	21	52	2	21.00	0	0
	22	51	2	19.00	0	0
	23	91	4	21.00	0	0
	24	85	4	21.00	0	0
	25	72	3	19.00	0	0
	26	72	3	20.00	0	0
	27	56	2	25.00	0	0
	28	76	3	21.00	0	0
	29	73	3	22.00	0	0
	30	106	5	22.00	0	0
	31	53	2	25.00	0	0
	32	73	3	22.00	0	0
	33	53	2	20.00	0	0
	34	57	2	22.00	0	0
	35	102	5	22.00	0	0
	36	96	4	26.00	0	0
	37	109	5	20.00	0	0
	38	108	5	23.00	0	0
	39	105	5	21.00	0	0
	40	67	3	21.00	0	0
	41	69	3	21.00	0	0
	42	54	2	22.00	0	0
	43	61	2	21.00	0	0
	44	74	3	21.00	0	0
	45	73	3	23.00	0	0
	46	104	5	22.00	0	0
	47	56	2	23.00	0	0
	48	105	5	21.00	0	0
	49	90	4	21.00	0	0
	50	70	3	21.00	0	0
	51	55	2	23.00	0	0
	52	52	2	21.00	0	0
	53	56	2	25.00	0	0
AI name	Run id	Completion Times (s)	Hadoop Iterations	Data gen time (s)	AI Run Errors	NTP Error
ai_24	1	96	4	24.00	0	0
	2	69	3	22.00	0	0
	3	101	5	21.00	0	0
	4	84	4	20.00	0	0
	5	50	2	21.00	0	0
	6	101	5	19.00	0	0
	7	50	2	18.00	0	0
	8	68	3	20.00	0	0
	9	52	2	22.00	0	0
	10	70	3	20.00	0	0
	11	55	2	20.00	0	0
	12	52	2	20.00	0	0
	13	100	5	22.00	0	0
	14	103	5	21.00	0	0
	15	85	4	20.00	0	0
	16	104	5	23.00	0	0
	17	66	3	22.00	0	0
	18	110	5	21.00	0	0
	19	59	2	24.00	0	0
	20	54	2	22.00	0	0
	21	70	3	20.00	0	0
	22	107	5	23.00	0	0
	23	90	4	21.00	0	0
	24	91	4	21.00	0	0
	25	90	4	25.00	0	0
	26	94	4	21.00	0	0
	27	107	5	22.00	0	0
	28	54	2	21.00	0	0
	29	79	3	22.00	0	0
	30	89	4	22.00	0	0
	31	74	3	22.00	0	0
	32	57	2	21.00	0	0
	33	71	3	21.00	0	0
	34	88	4	22.00	0	0
	35	70	3	21.00	0	0
	36	109	5	25.00	0	0
	37	55	2	22.00	0	0
	38	55	2	21.00	0	0
	39	94	4	21.00	0	0
	40	71	3	26.00	0	0
	41	90	4	22.00	0	0
	42	108	5	21.00	0	0
	43	108	5	22.00	0	0
	44	116	5	23.00	0	0
	45	64	2	22.00	0	0
	46	110	5	22.00	0	0
	47	96	4	22.00	0	0
AI name	Run id	Completion Times (s)	Hadoop Iterations	Data gen time (s)	AI Run Errors	NTP Error
ai_25	1	72	3	23.00	0	0
	2	103	5	20.00	0	0
	3	104	5	22.00	0	0
	4	68	3	20.00	0	0
	5	86	4	20.00	0	0
	6	84	4	20.00	0	0
	7	69	3	21.00	0	0
	8	66	3	20.00	0	0
	9	101	5	21.00	0	0
	10	80	4	19.00	0	0
	11	95	5	19.00	0	0
	12	82	4	21.00	0	0
	13	99	5	24.00	0	0
	14	104	5	19.00	0	0
	15	72	3	20.00	0	0
	16	100	5	20.00	0	0
	17	71	3	20.00	0	0
	18	84	4	20.00	0	0
	19	69	3	20.00	0	0
	20	94	5	19.00	0	0
	21	53	2	19.00	0	0
	22	100	5	20.00	0	0
	23	85	4	22.00	0	0
	24	92	4	20.00	0	0
	25	91	4	20.00	0	0
	26	57	2	21.00	0	0
	27	111	5	20.00	0	0
	28	65	3	21.00	0	0
	29	74	3	22.00	0	0
	30	106	5	21.00	0	0
	31	53	2	22.00	0	0
	32	62	2	20.00	0	0
	33	100	5	21.00	0	0
	34	104	5	21.00	0	0
	35	103	5	21.00	0	0
	36	104	5	25.00	0	0
	37	106	5	26.00	0	0
	38	54	2	20.00	0	0
	39	56	2	20.00	0	0
	40	110	5	25.00	0	0
	41	82	3	21.00	0	0
	42	107	5	22.00	0	0
	43	87	4	20.00	0	0
AI name	Run id	Completion Times (s)	Hadoop Iterations	Data gen time (s)	AI Run Errors	NTP Error
ai_28	1	90	4	24.00	0	0
	2	102	5	24.00	0	0
	3	100	5	21.00	0	0
	4	98	5	22.00	0	0
	5	72	3	21.00	0	0
	6	38	1	22.00	0	0
	7	67	3	21.00	0	0
	8	68	3	22.00	0	0
	9	69	3	21.00	0	0
	10	68	3	20.00	0	0
	11	56	2	20.00	0	0
	12	55	2	24.00	0	0
	13	53	2	21.00	0	0
	14	105	5	21.00	0	0
	15	54	2	21.00	0	0
	16	70	3	20.00	0	0
	17	100	5	20.00	0	0
	18	52	2	22.00	0	0
	19	109	5	22.00	0	0
	20	94	4	26.00	0	0
	21	61	2	22.00	0	0
	22	116	5	23.00	0	0
	23	90	4	21.00	0	0
	24	53	2	23.00	0	0
	25	111	5	21.00	0	0
	26	86	4	23.00	0	0
	27	73	3	26.00	0	0
	28	73	3	22.00	0	0
	29	103	5	21.00	0	0
	30	116	5	22.00	0	0
	31	54	2	21.00	0	0
	32	74	3	25.00	0	0
	33	70	3	23.00	0	0
	34	74	3	24.00	0	0
	35	55	2	23.00	0	0
	36	42	1	24.00	0	0
	37	91	4	23.00	0	0
	38	98	4	21.00	0	0
	39	56	2	21.00	0	0
	40	115	5	21.00	0	0
AI name	Run id	Completion Times (s)	Hadoop Iterations	Data gen time (s)	AI Run Errors	NTP Error
ai_30	1	95	4	28.00	0	0
	2	109	5	21.00	0	0
	3	58	2	21.00	0	0
	4	54	2	20.00	0	0
	5	111	5	25.00	0	0
	6	69	3	20.00	0	0
	7	76	3	20.00	0	0
	8	52	2	20.00	0	0
	9	108	5	20.00	0	0
	10	53	2	21.00	0	0
	11	71	3	20.00	0	0
	12	85	4	20.00	0	0
	13	86	4	22.00	0	0
	14	110	5	26.00	0	0
	15	105	5	21.00	0	0
	16	88	4	21.00	0	0
	17	63	2	22.00	0	0
	18	86	4	21.00	0	0
	19	90	4	21.00	0	0
	20	105	5	21.00	0	0
	21	104	5	23.00	0	0
	22	55	2	23.00	0	0
	23	81	3	21.00	0	0
	24	56	2	21.00	0	0
	25	42	1	21.00	0	0
	26	71	3	21.00	0	0
	27	88	4	23.00	0	0
	28	57	2	23.00	0	0
	29	58	2	23.00	0	0
	30	86	4	23.00	0	0
	31	87	4	23.00	0	0
	32	78	3	24.00	0	0
	33	122	5	21.00	0	0
	34	105	5	21.00	0	0
AI name	Run id	Completion Times (s)	Hadoop Iterations	Data gen time (s)	AI Run Errors	NTP Error
ai_31	1	119	5	28.00	0	0
	2	71	3	21.00	0	0
	3	52	2	22.00	0	0
	4	52	2	21.00	0	0
	5	70	3	21.00	0	0
	6	102	5	22.00	0	0
	7	104	5	20.00	0	0
	8	72	3	23.00	0	0
	9	101	5	21.00	0	0
	10	102	5	22.00	0	0
	11	40	1	21.00	0	0
	12	69	3	23.00	0	0
	13	75	3	22.00	0	0
	14	56	2	23.00	0	0
	15	56	2	23.00	0	0
	16	105	5	22.00	0	0
	17	68	3	20.00	0	0
	18	60	2	25.00	0	0
	19	69	3	21.00	0	0
	20	71	3	22.00	0	0
	21	52	2	21.00	0	0
	22	72	3	22.00	0	0
	23	89	4	21.00	0	0
	24	69	3	25.00	0	0
	25	113	5	22.00	0	0
	26	81	3	21.00	0	0
	27	109	5	22.00	0	0
	28	77	3	22.00	0	0
	29	93	4	21.00	0	0
	30	107	5	22.00	0	0
AI name	Run id	Completion Times (s)	Hadoop Iterations	Data gen time (s)	AI Run Errors	NTP Error
ai_34	1	71	3	28.00	0	0
	2	70	3	23.00	0	0
	3	83	3	20.00	0	0
	4	86	4	22.00	0	0
	5	57	2	21.00	0	0
	6	71	3	24.00	0	0
	7	86	4	21.00	0	0
	8	83	4	22.00	0	0
	9	72	3	23.00	0	0
	10	97	4	23.00	0	0
	11	71	3	21.00	0	0
	12	55	2	21.00	0	0
	13	109	5	20.00	0	0
	14	55	2	23.00	0	0
	15	70	3	20.00	0	0
	16	54	2	21.00	0	0
	17	69	3	22.00	0	0
	18	92	4	27.00	0	0
	19	57	2	25.00	0	0
	20	69	3	23.00	0	0
	21	53	2	26.00	0	0
	22	124	5	21.00	0	0
	23	93	4	22.00	0	0
	24	77	3	24.00	0	0
	25	91	4	23.00	0	0
AI name	Run id	Completion Times (s)	Hadoop Iterations	Data gen time (s)	AI Run Errors	NTP Error
ai_36	1	70	3	26.00	0	0
	2	69	3	21.00	0	0
	3	89	4	21.00	0	0
	4	56	2	22.00	0	0
	5	57	2	21.00	0	0
	6	113	5	21.00	0	0
	7	109	5	23.00	0	0
	8	96	4	21.00	0	0
	9	103	5	22.00	0	0
	10	104	5	20.00	0	0
	11	69	3	22.00	0	0
	12	69	3	21.00	0	0
	13	55	2	24.00	0	0
	14	59	2	24.00	0	0
	15	101	4	24.00	0	0
	16	105	5	22.00	0	0
	17	88	4	21.00	0	0
	18	88	4	21.00	0	0
	19	53	2	21.00	0	0
	20	86	4	22.00	0	0
AI name	Run id	Completion Times (s)	Hadoop Iterations	Data gen time (s)	AI Run Errors	NTP Error
ai_38	1	57	2	25.00	0	0
	2	112	5	21.00	0	0
	3	72	3	22.00	0	0
	4	90	4	21.00	0	0
	5	77	3	22.00	0	0
	6	55	2	21.00	0	0
	7	108	5	21.00	0	0
	8	58	2	23.00	0	0
	9	89	4	21.00	0	0
	10	117	5	21.00	0	0
	11	77	3	22.00	0	0
	12	58	2	21.00	0	0
	13	80	3	22.00	0	0
	14	109	5	21.00	0	0
	15	74	3	22.00	0	0
	16	54	2	24.00	0	0
AI name	Run id	Completion Times (s)	Hadoop Iterations	Data gen time (s)	AI Run Errors	NTP Error
ai_39	1	60	2	26.00	0	0
	2	89	4	23.00	0	0
	3	55	2	20.00	0	0
	4	103	5	23.00	0	0
	5	92	4	26.00	0	0
	6	122	5	22.00	0	0
	7	72	3	21.00	0	0
	8	103	5	21.00	0	0
	9	111	5	22.00	0	0
	10	63	2	25.00	0	0
	11	56	2	21.00	0	0
	12	70	3	23.00	0	0
AI name	Run id	Completion Times (s)	Hadoop Iterations	Data gen time (s)	AI Run Errors	NTP Error
ai_41	1	56	2	27.00	0	0
	2	89	4	22.00	0	0
	3	101	4	21.00	0	0
	4	117	5	26.00	0	0
	5	60	2	20.00	0	0
	6	57	2	21.00	0	0
	7	55	2	21.00	0	0
	8	76	3	24.00	0	0
AI name	Run id	Completion Times (s)	Hadoop Iterations	Data gen time (s)	AI Run Errors	NTP Error
ai_43	1	110	5	25.00	0	0
	2	57	2	21.00	0	0
	3	55	2	21.00	0	0
	4	76	3	23.00	0	0
	5	92	4	23.00	0	0
AI name	Run id	Completion Times (s)	Hadoop Iterations	Data gen time (s)	AI Run Errors	NTP Error
ai_45	1	75	3	25.00	0	0

Glossary

Glossary of Terms

SPEC and SPEC Cloud are registered trademarks of the Standard Performance Evaluation Corporation.

All other brand and product names appearing in this result are trademarks or registered trademarks of their respective holders.

For questions about this result, please contact the tester. For other inquiries, please contact info@spec.org

Instance Configuration Hadoop Master
Parameter	Value
instance_type_name	medium
cpu	4
memory	4GB
disk_size	40GB
disk_backed	block storage
image_name	hadoop_kmeans
Notes	some text

Cloud High Level Information and Availability
Parameter	Value
Name	InCloudOS V6
Type	private
Sut_Type	whitebox
Virtualized	KVM
Manager_Protocol	InCloudOS V6
Manager_Version	Rocky
Hardware_Availability	Apr-2023
Software/Service_Availability	Jan-2023
Geographic_Distribution	1
Notes	Cloud management deputy nodes reside at all data centers SUT exists in 3 different buildings within same campus Campus network backbone is infinet10000.

Cloud Under Test Software Levels
Parameter	Value
Python_version	2.7.9
JVM_version	1.8.0_45
Hadoop_version	2.5.7
Cassandra_version	2.1.20
Notes	All software compiled locally from git source archives Compiler options - debug, 128bits, optimized Internal database set to emulate Cassandra API.

Benchmark Harness Node
Parameter	Value
Vendor	Nettrix R620 G40
Platform	Intel(R) Xeon(R) Platinum 8360Y CPU @ 2.40GHz
CPU_Description	Intel(R) Xeon(R) Platinum 8360Y CPU @ 2.40GHz
CPU_Frequency_MHz	2400
RAM_Memory	256 GB, ECC, DDR4, 3200MHz RDIMM
Local_Storage	1 x 240GB SATA SSD, 1 x 960GB SATA SSD
Quantity	1
Availability_Date	Apr-2021
OS_Version	K-UX release 5.6
OS_Availability_Date	Jan-2023
Network_Adapter_1	Intel Corporation Ethernet Controller X710 for 10GBASE-T 1Gb/s
Network_Adapter_2	Intel Corporation Ethernet Controller X710 for 10GBASE-T 10Gb/s
Network_port_type_1	1000BASE-T
Network_port_type_2	10GBASE-SR
Network_speed_port_1	1 Gb/s
Network_speed_port_2	10 Gb/s
Notes	None

Cloud Manager Node
Parameter	Value
Hw_Vendor	Nettiex R620 G40
Hw_Platform	Intel(R) Xeon(R) Platinum 8360Y CPU @ 2.40GHz
CPU_Type	Eltin Xera J7-8409
CPU_Count	2
CPU_Cores_Per	4
CPU_Frequency_MHz	2400
RAM_Memory_GB	256
Primary_Cache_KB	32 KB I + 48 KB D per core, on chip
Secondary_Cache_KB	1.25 MB I+D per core, on chip
RAM_Memory_Type	ECC DDR4 3200 MHz
Hw_Availability_Date	Apr-2021
Local_Storage	1 x 240GB SATA SSD,1 x 960GB SATA SSD
Quantity	1
Virtualized	KVM
Network_Adapter_1	Intel Corporation Ethernet Controller X710 for 10GBASE-T 1Gb/s
Network_Adapter_2	Intel Corporation Ethernet Controller X710 for 10GBASE-T 10Gb/s
Network_port_type_1	1000BASE-T
Network_port_type_2	10GBASE-SR
Network_speed_port_1	1 Gb/s
Network_speed_port_2	10 Gb/s
OS_Version	K-UX release 5.6
OS_Availability_Date	Jan-2023
Notes	None

Cloud Computes Nodes
Parameter	Value
type 1_Compute_nodes	9
type 1_Hw_Vendor	NF5280M7
type 1_Hw_Platform	Intel(R) Xeon(R) Platinum 8480+ CPU @ 2.00GHz
type 1_Quantity	9
type 1_CPU_Type	x86
type 1_CPU_Count	2
type 1_CPU_Cores_Per	56
type 1_CPU_Frequency_MHz	2000
type 1_RAM_Memory_GB	256
type 1_Primary_Cache_KB	32 KB I + 48 KB D per core, on chip
type 1_Secondary_Cache_KB	2 MB I+D per core, on chip
type 1_RAM_Memory_Type	ECC DDR5 4800 MHz
type 1_Hw_Availability_Date	Apr-2023
type 1_Local_Storage	1 x 1.6 TB SATA SSD,2 * 800GB SATA SSD
type 1_Virtualized	KVM
type 1_Network_Adapter_1	Intel Corporation Ethernet Controller X550T for 10GBASE-T 1Gb/s
type 1_Network_Adapter_2	Intel Corporation Ethernet Controller X550T for 10GBASE-T 10Gb/s
type 1_Network_port_type_1	1000BASE-T
type 1_Network_port_type_2	10GBASE-SR
type 1_Network_speed_port_1	1 Gb/s
type 1_Network_speed_port_2	10 Gb/s
type 1_OS_Version	K-UX release 5.6
type 1_OS_Availability_Date	Jan-2023
type 1_Notes	None