Themis: A scalable performance evaluation framework for virtualized datacenter

Zhengmin Li; Di Zhang; Xinran Liu; Bin Sun; Zhicheng Yao; Xiufeng Sui

doi:10.1109/CLUSTER.2016.78

Themis: A scalable performance evaluation framework for virtualized datacenter

Zhengmin Li, Di Zhang, Xinran Liu^*, Bin Sun, Zhicheng Yao, Xiufeng Sui

^*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

DC/OS is a widely used distributed operating system that abstracts the resources of light-weighted virtualized datacenters, which is based on Mesos distributed systems kernel and user space services such as Marathon. It automates resource management and process scheduling, thus significantly impacts the performance of datacenters. In this paper, we propose Themis, a flexible, automatic and distributed framework, to evaluate the performance and scalability across both DC/OS and virtualization layer. We can integrate most emerging scale-out datacenter workloads into this framework, and get an easily understandable score that scales with underlying system capacity using a configurable controlled strategy.

Original language	English
Title of host publication	Proceedings - 2016 IEEE International Conference on Cluster Computing, CLUSTER 2016
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	146-147
Number of pages	2
ISBN (Electronic)	9781509036530
DOIs	https://doi.org/10.1109/CLUSTER.2016.78
Publication status	Published - 6 Dec 2016
Externally published	Yes
Event	2016 IEEE International Conference on Cluster Computing, CLUSTER 2016 - Taipei, Taiwan, Province of China Duration: 13 Sept 2016 → 15 Sept 2016

Publication series

Name	Proceedings - IEEE International Conference on Cluster Computing, ICCC
ISSN (Print)	1552-5244

Conference

Conference	2016 IEEE International Conference on Cluster Computing, CLUSTER 2016
Country/Territory	Taiwan, Province of China
City	Taipei
Period	13/09/16 → 15/09/16

Access to Document

10.1109/CLUSTER.2016.78

Cite this

Li, Z., Zhang, D., Liu, X., Sun, B., Yao, Z., & Sui, X. (2016). Themis: A scalable performance evaluation framework for virtualized datacenter. In Proceedings - 2016 IEEE International Conference on Cluster Computing, CLUSTER 2016 (pp. 146-147). Article 7776494 (Proceedings - IEEE International Conference on Cluster Computing, ICCC). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/CLUSTER.2016.78

@inproceedings{41276240d93f459daf6c3fdb669ee120,

title = "Themis: A scalable performance evaluation framework for virtualized datacenter",

abstract = "DC/OS is a widely used distributed operating system that abstracts the resources of light-weighted virtualized datacenters, which is based on Mesos distributed systems kernel and user space services such as Marathon. It automates resource management and process scheduling, thus significantly impacts the performance of datacenters. In this paper, we propose Themis, a flexible, automatic and distributed framework, to evaluate the performance and scalability across both DC/OS and virtualization layer. We can integrate most emerging scale-out datacenter workloads into this framework, and get an easily understandable score that scales with underlying system capacity using a configurable controlled strategy.",

author = "Zhengmin Li and Di Zhang and Xinran Liu and Bin Sun and Zhicheng Yao and Xiufeng Sui",

note = "Publisher Copyright: {\textcopyright} 2016 IEEE.; 2016 IEEE International Conference on Cluster Computing, CLUSTER 2016 ; Conference date: 13-09-2016 Through 15-09-2016",

year = "2016",

month = dec,

day = "6",

doi = "10.1109/CLUSTER.2016.78",

language = "English",

series = "Proceedings - IEEE International Conference on Cluster Computing, ICCC",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

pages = "146--147",

booktitle = "Proceedings - 2016 IEEE International Conference on Cluster Computing, CLUSTER 2016",

address = "United States",

}

Li, Z, Zhang, D, Liu, X, Sun, B, Yao, Z & Sui, X 2016, Themis: A scalable performance evaluation framework for virtualized datacenter. in Proceedings - 2016 IEEE International Conference on Cluster Computing, CLUSTER 2016., 7776494, Proceedings - IEEE International Conference on Cluster Computing, ICCC, Institute of Electrical and Electronics Engineers Inc., pp. 146-147, 2016 IEEE International Conference on Cluster Computing, CLUSTER 2016, Taipei, Taiwan, Province of China, 13/09/16. https://doi.org/10.1109/CLUSTER.2016.78

Themis: A scalable performance evaluation framework for virtualized datacenter. / Li, Zhengmin; Zhang, Di; Liu, Xinran et al.
Proceedings - 2016 IEEE International Conference on Cluster Computing, CLUSTER 2016. Institute of Electrical and Electronics Engineers Inc., 2016. p. 146-147 7776494 (Proceedings - IEEE International Conference on Cluster Computing, ICCC).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Themis

T2 - 2016 IEEE International Conference on Cluster Computing, CLUSTER 2016

AU - Li, Zhengmin

AU - Zhang, Di

AU - Liu, Xinran

AU - Sun, Bin

AU - Yao, Zhicheng

AU - Sui, Xiufeng

PY - 2016/12/6

Y1 - 2016/12/6

N2 - DC/OS is a widely used distributed operating system that abstracts the resources of light-weighted virtualized datacenters, which is based on Mesos distributed systems kernel and user space services such as Marathon. It automates resource management and process scheduling, thus significantly impacts the performance of datacenters. In this paper, we propose Themis, a flexible, automatic and distributed framework, to evaluate the performance and scalability across both DC/OS and virtualization layer. We can integrate most emerging scale-out datacenter workloads into this framework, and get an easily understandable score that scales with underlying system capacity using a configurable controlled strategy.

AB - DC/OS is a widely used distributed operating system that abstracts the resources of light-weighted virtualized datacenters, which is based on Mesos distributed systems kernel and user space services such as Marathon. It automates resource management and process scheduling, thus significantly impacts the performance of datacenters. In this paper, we propose Themis, a flexible, automatic and distributed framework, to evaluate the performance and scalability across both DC/OS and virtualization layer. We can integrate most emerging scale-out datacenter workloads into this framework, and get an easily understandable score that scales with underlying system capacity using a configurable controlled strategy.

UR - http://www.scopus.com/inward/record.url?scp=85013141425&partnerID=8YFLogxK

U2 - 10.1109/CLUSTER.2016.78

DO - 10.1109/CLUSTER.2016.78

M3 - Conference contribution

AN - SCOPUS:85013141425

T3 - Proceedings - IEEE International Conference on Cluster Computing, ICCC

SP - 146

EP - 147

BT - Proceedings - 2016 IEEE International Conference on Cluster Computing, CLUSTER 2016

PB - Institute of Electrical and Electronics Engineers Inc.

Y2 - 13 September 2016 through 15 September 2016

ER -

Li Z, Zhang D, Liu X, Sun B, Yao Z, Sui X. Themis: A scalable performance evaluation framework for virtualized datacenter. In Proceedings - 2016 IEEE International Conference on Cluster Computing, CLUSTER 2016. Institute of Electrical and Electronics Engineers Inc. 2016. p. 146-147. 7776494. (Proceedings - IEEE International Conference on Cluster Computing, ICCC). doi: 10.1109/CLUSTER.2016.78

Themis: A scalable performance evaluation framework for virtualized datacenter

Abstract

Publication series

Conference

Access to Document

Other files and links

Fingerprint

Cite this