abstract

Virt-LM: a benchmark for live migration of virtual machine

Authors:

Kejiang YeAuthors Info & Claims

ICPE '11: Proceedings of the 2nd ACM/SPEC International Conference on Performance engineering

Pages 307 - 316

https://doi.org/10.1145/1958746.1958790

Published: 30 September 2011 Publication History

Abstract

Virtualization technology has been widely applied in data centers and IT infrastructures, with advantages of server consolidation and live migration. Through live migration, data centers could flexibly move virtual machines among different physical machines to balance workloads, reduce energy consumption and enhance service availability.

Today's data centers can grow to a huge scale. This implies that frequent live migration would be desirable for the economic use of hardware resources. Then, the performance of the live migration strategy will be an issue. So, we need a reliant evaluation method to choose the software and hardware environments that will produce the best live migration performance.

However, there is not a complete live migration benchmark available currently. In addition, the existing evaluation methodologies select different metrics, different workloads and different test means. Thus, it is difficult to compare their results.

In this paper we first survey the current research and their evaluation methods on live migration. We then summarize the critical issues for the live migration evaluation and also raise other unreported potential problems.

We propose our solutions and present an implementation in our live migration benchmark -- Virt-LM. This is a benchmark for comparing live migration performance among different software and hardware environments in a data center scenario. We detail its design and provide some experimental results to validate its effectiveness.

References

[1]

R. Bradford, E. Kotsovinos, A. Feldmann, and H. Schiöberg. Live wide-area migration of virtual machines including local persistent state. In Proceedings of the 3rd International Conference on Virtual Execution Environments, pages 169-179, 2007.

Digital Library

[2]

J.P. Casazza, M. Greenfield, and K. Shi. Redefining server performance characterization for virtualization benchmarking. Intel Technology Journal, 10(3):243-251, 2006.

[3]

C. Clark, K. Fraser, S. Hand, J.G. Hansen, E. Jul, C. Limpach, I. Pratt, and A. Warfield. Live migration of virtual machines. In Proceedings of the 2nd conference on Symposium on Networked Systems Design & Implementation, pages 273-286, 2005.

Digital Library

[4]

M.R. Hines and K. Gopalan. Post-copy based live virtual machine migration using adaptive pre-paging and dynamic self-ballooning. In Proceedings of the 2009 ACM SIGPLAN/SIGOPS International Conference on Virtual Execution Environments, pages 51-60, 2009.

Digital Library

[5]

W. Huang, Q. Gao, J. Liu, and D.K. Panda. High performance virtual machine migration with RDMA over modern interconnects. In Proceedings of the 2007 IEEE International Conference on Cluster Computing, pages 11-20, 2007.

Digital Library

[6]

H. Jin, L. Deng, S. Wu, X. Shi, and X. Pan. Live virtual machine migration with adaptive memory compression. In Proceedings of 2009 IEEE International Conference on Cluster Computing, pages 1-10, 2009.

[7]

M. Kozuch and M. Satyanarayanan. Internet suspend/resume. In Proceedings of the 4th IEEE Workshop on Mobile Computing Systems and Applications, pages 32-40, 2002.

Digital Library

[8]

H. Liu, H. Jin, X. Liao, L. Hu, and C. Yu. Live migration of virtual machine based on full system trace and replay. In Proceedings of the 18th ACM international Symposium on High Performance Distributed Computing, pages 101-110, 2009.

Digital Library

[9]

P. Liu, Z. Yang, X. Song, Y. Zhou, H. Chen, and B. Zang. Heterogeneous live migration of virtual machines. In Proceedings of the International Workshop on Virtualization Technology, 2008.

[10]

Y. Luo, B. Zhang, X. Wang, Z. Wang, Y. Sun, and H. Chen. Live and incremental whole-system migration of virtual machines using block-bitmap. In Proceedings of the 2008 IEEE International Conference on Cluster Computing, pages 99-106, 2008.

[11]

V. Makhija, B. Herndon, P. Smith, L. Roderick, E. Zamost, and J. Anderson. VMmark: A scalable benchmark for virtualized systems. VMware Inc, CA, Tech. Rep. VMware-TR-2006-002, September, 2006.

[12]

M. Nelson, B.H. Lim, and G. Hutchins. Fast transparent migration for virtual machines. In Proceedings of the USENIX Annual Technical Conference, pages 391-394, 2005.

Digital Library

[13]

A. Nocentino and P.M. Ruth. Toward dependency-aware live virtual machine migration. In Proceedings of the 3rd International Workshop on Virtualization Technologies in Distributed Computing, pages 59-66, 2009.

Digital Library

[14]

C.P. Sapuntzakis, R. Chandra, B. Pfaff, J. Chow, M.S. Lam, and M. Rosenblum. Optimizing the migration of virtual computers. ACM SIGOPS Operating Systems Review, 36(SI):377-390, 2002.

Digital Library

[15]

SPECvirt sc2010. http://www.spec.org/virt_sc2010/.

[16]

F. Travostino, P. Daspit, L. Gommans, C. Jog, C. De Laat, J. Mambretti, I. Monga, B. Van Oudenaarde, and S. Raghunath. Seamless live migration of virtual machines over the MAN/WAN. Future Generation Computer Systems, 22(8):901-907, 2006.

Digital Library

[17]

A. Whitaker, R.S. Cox, M. Shaw, and S.D. Grible. Constructing services with interposable virtual hardware. In Proceedings of the 1st Conference on Symposium on Networked Systems Design and Implementation-Volume 1, pages 13-13, 2004.

Digital Library

[18]

T. Wood, P. Shenoy, A. Venkataramani, and M. Yousif. Black-box and gray-box strategies for virtual machine migration. In Proceedings of the 4th USENIX Symposium on Networked Systems Design & Implementation, pages 229-242, 2007.

Digital Library

Cited By

Kumar Swain CRoutray PKumar Mishra SAlwabel A(2023)Predictive VM Consolidation for Latency Sensitive Tasks in Heterogeneous CloudAdvances in Distributed Computing and Machine Learning10.1007/978-981-99-1203-2_12(135-150)Online publication date: 28-Jun-2023
https://doi.org/10.1007/978-981-99-1203-2_12
Sagar SChoudhary AAnsari MGovil M(2023)A Survey of Energy-Aware Server Consolidation in Cloud ComputingEvolution in Computational Intelligence10.1007/978-981-19-7513-4_34(381-391)Online publication date: 26-Apr-2023
https://doi.org/10.1007/978-981-19-7513-4_34
Gilesh MJain SMadhu Kumar SJacob LBellur U(2019)Opportunistic live migration of virtual machinesConcurrency and Computation: Practice and Experience10.1002/cpe.547732:5Online publication date: 14-Aug-2019
https://doi.org/10.1002/cpe.5477
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Index Terms

Virt-LM: a benchmark for live migration of virtual machine
1. Software and its engineering

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Information

Published In

cover image ACM Conferences

ICPE '11: Proceedings of the 2nd ACM/SPEC International Conference on Performance engineering

March 2011

470 pages

ISBN:9781450305198

DOI:10.1145/1958746

General Chairs:
Samuel Kounev
Karlsruhe Institute of Technology, Germany
,
Vittorio Cortellessa
Università dell'Aquila, Italy
,
Program Chairs:
Raffaela Mirandola
Politecnico di Milano, Italy
,
David Lilja
University of Minnesota, USA
,
Kai Sachs
SAP AG

Copyright © 2011 Authors.

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 30 September 2011

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ICPE'11

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ICPE'11: Second Joint WOSP/SIPEW International Conference on Performance Engineering

March 14 - 16, 2011

Karlsruhe, Germany

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Overall Acceptance Rate 252 of 851 submissions, 30%

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Cited By

Kumar Swain CRoutray PKumar Mishra SAlwabel A(2023)Predictive VM Consolidation for Latency Sensitive Tasks in Heterogeneous CloudAdvances in Distributed Computing and Machine Learning10.1007/978-981-99-1203-2_12(135-150)Online publication date: 28-Jun-2023
https://doi.org/10.1007/978-981-99-1203-2_12
Sagar SChoudhary AAnsari MGovil M(2023)A Survey of Energy-Aware Server Consolidation in Cloud ComputingEvolution in Computational Intelligence10.1007/978-981-19-7513-4_34(381-391)Online publication date: 26-Apr-2023
https://doi.org/10.1007/978-981-19-7513-4_34
Gilesh MJain SMadhu Kumar SJacob LBellur U(2019)Opportunistic live migration of virtual machinesConcurrency and Computation: Practice and Experience10.1002/cpe.547732:5Online publication date: 14-Aug-2019
https://doi.org/10.1002/cpe.5477
Joseph CMartin JChandrasekaran KKandasamy A(2018)Virtual Machine Migration—A Perspective StudyAdvances in Big Data and Cloud Computing10.1007/978-981-10-7200-0_7(79-89)Online publication date: 7-Apr-2018
https://doi.org/10.1007/978-981-10-7200-0_7
Choudhary AGovil MSingh GAwasthi LPilli EKapil D(2017)A critical survey of live virtual machine migration techniquesJournal of Cloud Computing: Advances, Systems and Applications10.5555/3067917.31617126:1(1-41)Online publication date: 1-Dec-2017
https://dl.acm.org/doi/10.5555/3067917.3161712
Choudhary AGovil MSingh GAwasthi LPilli EKapil D(2017)A critical survey of live virtual machine migration techniquesJournal of Cloud Computing10.1186/s13677-017-0092-16:1Online publication date: 7-Nov-2017
https://doi.org/10.1186/s13677-017-0092-1
Wu HLiu FLee R(2017)Cloud Server Benchmark Suite for Evaluating New Hardware ArchitecturesIEEE Computer Architecture Letters10.1109/LCA.2016.259781816:1(14-17)Online publication date: 1-Jan-2017
https://doi.org/10.1109/LCA.2016.2597818
Raghunath BAnnappa B. (2017)Prediction based dynamic resource provisioning in virtualized environments2017 IEEE International Conference on Consumer Electronics (ICCE)10.1109/ICCE.2017.7889244(100-105)Online publication date: 2017
https://doi.org/10.1109/ICCE.2017.7889244
Jaswal TKaur K(2016)An Enhanced Hybrid Approach for Reducing Downtime, Cost and Power Consumption of Live VM MigrationProceedings of the International Conference on Advances in Information Communication Technology & Computing10.1145/2979779.2979851(1-5)Online publication date: 12-Aug-2016
https://dl.acm.org/doi/10.1145/2979779.2979851
Kukral TKozak MHegr TBohac L(2015)VM migration measurement and failure detection2015 38th International Conference on Telecommunications and Signal Processing (TSP)10.1109/TSP.2015.7296269(285-288)Online publication date: Jul-2015
https://doi.org/10.1109/TSP.2015.7296269
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