research-article

Characterization & analysis of a server consolidation benchmark

Authors:

Tom AdelmeyerAuthors Info & Claims

VEE '08: Proceedings of the fourth ACM SIGPLAN/SIGOPS international conference on Virtual execution environments

Pages 21 - 30

https://doi.org/10.1145/1346256.1346260

Published: 05 March 2008 Publication History

Abstract

Virtualization is already becoming ubiquitous in data centers for the consolidation of multiple workloads on a single platform. However, there are very few performance studies of server consolidation workloads in the literature. In this paper, our goal is to analyze the performance characteristics of a representative server consolidation workload. To address this goal, we have carried out extensive measurement and profiling experiments of a newly proposed consolidation workload (vConsolidate). vConsolidate consists of a compute intensive workload, a web server, a mail server and a database application running simultaneously on a single platform. We start by studying the performance slowdown of each workload due to consolidation on a contemporary multi-core dual-processor Intel platform. We then look at architectural characteristics such as CPI (cycles per instruction) and L2 MP (L2 misses per instruction) I, and analyze the benefits of larger caches for such a consolidated workload. We estimate the virtualization overheads for events such as context switches, interrupts and page faults and show how these impact the performance of the workload in consolidation. Finally, we also present the execution profile of the server consolidation workload and illustrate the life of each VM in the consolidated environment. We conclude by presenting an approach to developing a preliminary performance model based on the performance.

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Cited By

Shukla AKumar SShukla V(2023)Role of Virtualization in Secure NetworkCryptology and Network Security with Machine Learning10.1007/978-981-99-2229-1_36(433-439)Online publication date: 18-Oct-2023
https://doi.org/10.1007/978-981-99-2229-1_36
Vojnak DEordevic BTimcenko VStrbac S(2019)Performance Comparison of the type-2 hypervisor VirtualBox and VMWare Workstation2019 27th Telecommunications Forum (TELFOR)10.1109/TELFOR48224.2019.8971213(1-4)Online publication date: Nov-2019
https://doi.org/10.1109/TELFOR48224.2019.8971213
Bermejo BJuiz C(2019)Virtual machine consolidation: a systematic review of its overhead influencing factorsThe Journal of Supercomputing10.1007/s11227-019-03025-yOnline publication date: 22-Oct-2019
https://doi.org/10.1007/s11227-019-03025-y
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Index Terms

Characterization & analysis of a server consolidation benchmark
1. General and reference
  1. Cross-computing tools and techniques
  2. Document types
    1. General conference proceedings

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Published In

cover image ACM Conferences

VEE '08: Proceedings of the fourth ACM SIGPLAN/SIGOPS international conference on Virtual execution environments

March 2008

190 pages

ISBN:9781595937964

DOI:10.1145/1346256

General Chair:
David Gregg
Trinity College Dublin, Ireland
,
Program Chairs:
Vikram Adve
University of Illinois at Urbana-Champaign, USA
,
Brian Bershad
Google, USA

Copyright © 2008 ACM.

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Publication History

Published: 05 March 2008

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VEE '08

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VEE '08: International Conference on Virtual Execution Environments

March 5 - 7, 2008

WA, Seattle, USA

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VEE '08 Paper Acceptance Rate 18 of 57 submissions, 32%;

Overall Acceptance Rate 80 of 235 submissions, 34%

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Cited By

Shukla AKumar SShukla V(2023)Role of Virtualization in Secure NetworkCryptology and Network Security with Machine Learning10.1007/978-981-99-2229-1_36(433-439)Online publication date: 18-Oct-2023
https://doi.org/10.1007/978-981-99-2229-1_36
Vojnak DEordevic BTimcenko VStrbac S(2019)Performance Comparison of the type-2 hypervisor VirtualBox and VMWare Workstation2019 27th Telecommunications Forum (TELFOR)10.1109/TELFOR48224.2019.8971213(1-4)Online publication date: Nov-2019
https://doi.org/10.1109/TELFOR48224.2019.8971213
Bermejo BJuiz C(2019)Virtual machine consolidation: a systematic review of its overhead influencing factorsThe Journal of Supercomputing10.1007/s11227-019-03025-yOnline publication date: 22-Oct-2019
https://doi.org/10.1007/s11227-019-03025-y
Skach MArora MTullsen DTang LMars J(2018)Virtual melting temperatureProceedings of the 45th Annual International Symposium on Computer Architecture10.1109/ISCA.2018.00013(15-28)Online publication date: 2-Jun-2018
https://dl.acm.org/doi/10.1109/ISCA.2018.00013
Jerger NKrishna TPeh L(2017)On-Chip Networks, Second EditionSynthesis Lectures on Computer Architecture10.2200/S00772ED1V01Y201704CAC04012:3(1-210)Online publication date: 17-Jun-2017
https://doi.org/10.2200/S00772ED1V01Y201704CAC040
Podzimek ABulej LChen LBinder WTma P(2017)Reprint of Robust partial-load experiments with ShowstopperFuture Generation Computer Systems10.1016/j.future.2016.11.01372:C(81-104)Online publication date: 1-Jul-2017
https://dl.acm.org/doi/10.1016/j.future.2016.11.013
Kaneko YIto THara T(2016)A measurement study on virtualization overhead for applications of industrial automation systems2016 IEEE 21st International Conference on Emerging Technologies and Factory Automation (ETFA)10.1109/ETFA.2016.7733507(1-8)Online publication date: Sep-2016
https://doi.org/10.1109/ETFA.2016.7733507
Park JWang QLi JLai CZhu TPu C(2016)Performance Interference of Memory Thrashing in Virtualized Cloud Environments: A Study of Consolidated n-Tier Applications2016 IEEE 9th International Conference on Cloud Computing (CLOUD)10.1109/CLOUD.2016.0045(276-283)Online publication date: Jun-2016
https://doi.org/10.1109/CLOUD.2016.0045
Podzimek ABulej LChen LBinder WTůma P(2016)Robust partial-load experiments with ShowstopperFuture Generation Computer Systems10.1016/j.future.2016.04.02064:C(15-38)Online publication date: 1-Nov-2016
https://dl.acm.org/doi/10.1016/j.future.2016.04.020
Ye KWu ZWang CZhou BSi WJiang XZomaya A(2015)Profiling-Based Workload Consolidation and Migration in Virtualized Data CentersIEEE Transactions on Parallel and Distributed Systems10.1109/TPDS.2014.231333526:3(878-890)Online publication date: Mar-2015
https://doi.org/10.1109/TPDS.2014.2313335
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