Haikun Liu
ABSTRACT
Live migration of virtual machine (VM) provides a significant benefit for virtual server mobility without disrupting service. It is widely used for system management in virtualized data centers. However, migration costs may vary significantly for different workloads due to the variety of VM configurations and workload characteristics. To take into account the migration overhead in migration decision-making, we investigate design methodologies to quantitatively predict the migration performance and energy cost. We thoroughly analyze the key parameters that affect the migration cost from theory to practice. We construct two application-oblivious models for the cost prediction by using learned knowledge about the workloads at the hypervisor (also called VMM) level. This should be the first kind of work to estimate VM live migration cost in terms of both performance and energy in a quantitative approach. We evaluate the models using five representative workloads on a Xen virtualized environment. Experimental results show that the refined model yields higher than 90% prediction accuracy in comparison with measured cost. Model-guided decisions can significantly reduce the migration cost by more than 72.9% at an energy saving of 73.6%.
- http://pyropus.ca/software/memtester/Google Scholar
- Electronic educational devices inc., "watts up pro power meter", http://www.wattsupmeters.comGoogle Scholar
- http://www.tpc.org/tpcc.Google Scholar
- http://samba.org/ftp/tridge/dbench.Google Scholar
- http://www.netlib.org/linpack.Google Scholar
- http://www.spec.org/web2005.Google Scholar
- S. Akoush, R. Sohan, A. Rice, A. W. Moore, A. Hopper. Predicting the Performance of Virtual Machine Migration. In The 18th Annual IEEE/ACM International Symposium on Modeling, Analysis and Simulation of Computer and Tele-communication Systems (MASCOTS'10), Miami, Florida, USA, August 17-19, 2010, pp.37--46. Google ScholarDigital Library
- P. Barham, B. Dragovic, K. Fraser, S. Hand, T. Harris, A. Ho, R. Neugebauer, I. Pratt, and A. Warfield. Xen and the Art of Virtualization. In Proceedings of the nineteenth ACM symposium on Operating Systems Principles (SOSP'03), Lake George, New York, USA, October 19-22, 2003, pp.164--177. Google ScholarDigital Library
- S. M. Blackburn, R. Garner, C. Hoffman, A. M. Khan, K. S. McKinley, R. Bentzur, A. Diwan, D. Feinberg, D. Frampton, S. Z. Guyer, M. Hirzel, A. Hosking, M. Jump, H. Lee, J. E. B. Moss, A. Phansalkar, D. Stefanović, T. VanDrunen, D. von Dincklage, and B. Wiedermann. The DaCapo Bench-marks: Java Benchmarking Development and Analysis. In Proceedings of the 21st annual ACM SIGPLAN conference on Object-Oriented Programming, Systems, Languages, and Applications (OOPSLA'06), Portland, OR, USA, October 22-26, 2006 Google ScholarDigital Library
- C. Clark, K. Fraser, S. Hand, J. G. Hansen, E. Jul, C. Lim-pach, I. Pratt, and A. Warfield. Live Migration of Virtual Machines. In Proceedings of Second Symposium Networked Systems Design and Implementation (NSDI'05), May 2-4, 2005, pp. 273--286 Google ScholarDigital Library
- D. Comer, Internetworking with TCP/IP. Page 226. Upper Saddle River, N.J.: Prentice Hall, 2000. Print.Google Scholar
- J. Choi, S. Govindan, B. Urgaonkar and A. Sivasubrama-niam. Profiling, Prediction, and Capping of Power Consump-tion in Consolidated Environments. In Proceedings of IEEE International Symposium on Modeling, Analysis, and Simu-lation of Computer and Telecommunication Systems (MAS-COTS'08), Baltimore, MD. USA, Sept 8-10, 2008, pp.1--10.Google Scholar
- M. Cardosa, M. R. Korupolu and A. Singh. Shares and Utilities Based Power Consolidation in Virtualized Server Envi-ronments. In Proceedings of the 11th IFIP/IEEE international conference on Symposium on Integrated Network Management (IM'09), New York, NY, USA, June 1-5, 2009, pp. 327--334. Google ScholarDigital Library
- S. Fu and C-Z. Xu, "Stochastic Modeling and Analysis of Hybrid Mobility in Reconfigurable Distributed Virtual Machines", Journal of Parallel and Distributed Computing, Vol. 66, No. 11, November 2006, pp.1442--1454. Google ScholarDigital Library
- J. Gong and C-Z. Xu. A Gray-box Feedback Control Approach for System-Level Peak Power Management. In Proceedings of 39th International Conference on Parallel Processing (ICPP'10), San Diego, CA, USA, September 13-16, 2010, pp.555--564. Google ScholarDigital Library
- J. Gong and C-Z. Xu. vPnP: Automated Coordination of Power and Performance in Virtualized Datacenters. In The IEEE International Workshop on Quality of Service (IWQoS'10), Beijing, China, June 16-18, 2010, pp.1--9.Google ScholarCross Ref
- L. Hu, H. Jin, X. Liao, X. Xiong and H. Liu. Magnet: A Novel Scheduling Policy for Power Reduction in Cluster with Virtual Machines. In Proceeding of 2008 IEEE International Conference on Cluster Computing (Cluster'08), September 29-October 1 2008, Tsukuba, Japan, pp.13--22.Google Scholar
- M. Hines and K. Gopalan. Post-Copy Based Live Virtual Machine Migration Using Adaptive Pre-Paging And Dynamic Self-Ballooning. In International Conference on Virtual Execution Environments (VEE'09), Washington DC, USA, March 11-13, 2009, pp.51--60. Google ScholarDigital Library
- B. Krishnan, H. Amur, A. Gavrilovska, K. Schwan. VM Power Metering: Feasibility and Challenges. In The Second Green Metrics Workshop, in conjunction with SIGMETRICS'10, New York, NY, USA, June 14, 2010.Google Scholar
- A. Kangarlou, P. Eugster, D. Xu. VNsnap: Taking Snapshots of Virtual Networked Environments with Minimal Downtime. In Proceedings of IEEE/IFIP International Conference on Dependable Systems and Networks (DSN'09), Estoril, Portugal, June 29-July 2, 2009, pp.524--533.Google ScholarCross Ref
- M. Y. Lim, F. Rawson, T. Bletsch, and V. W. Freeh. PADD: Power Aware Domain Distribution. In Proceedings of the 29th IEEE International Conference on Distributed Computing Systems (ICDCS'09), Montreal, Quebec, Canada, June 22-26, 2009, pp.239--247. Google ScholarDigital Library
- 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 International Symposium on High Performance Distributed Computing (HPDC'09), June 11-13, 2009, Munich, Germany, pp.101--110. Google ScholarDigital Library
- J. Lange, K. Pedretti, T. Hudson, P. Dinda, Z. Cui, L. Xia, P. Bridges, A. Gocke, S. Jaconette, M. Levenhagen and R. Brightwell. Palacios and Kitten: New High Performance Operating Systems for Scalable Virtualized and Native Super-computing. In Proceedings of the 24th IEEE International Parallel and Distributed Processing Symposium (IPDPS'10), Atlanta, Georgia, USA, April 19-23, 2010, pp.1--12.Google ScholarCross Ref
- A. B. Nagarajan, F. Mueller, C. Engelmann, and S. L. Scott. Proactive Fault Tolerance for HPC with Xen Virtualization. In Proceedings of ACM Annual International Conference on Supercomputing (ICS'07), Seattle, Washington, USA, June 17-21, 2007, pp. 23--32. Google ScholarDigital Library
- M. Nelson, B. H. Lim, and G. Hutchins. Fast Transparent Migration for Virtual Machines. In Proceedings of USENIX Annual Technical Conference (USENIX'05), Anaheim, California, USA, April 10-15, 2005, pp.391--394. Google ScholarDigital Library
- R. Nathuji and K. Schwan. Virtual Power: Coordinated Power Management in Virtualized Enterprise Systems. In Proceedings of ACM Symposium on Operating Systems Principles (SOSP'07), Stevenson, WA, USA, October 14-17, 2007. Google ScholarDigital Library
- I. Rodero, J. Jaramillo, A. Quiroz, M. Parashar and F. Guim. Towards Energy-aware Autonomic Provisioning for Virtualized Environments. In Proceedings of the 19th ACM International Symposium on High Performance Distributed Com-puting (HPDC'10), Chicago, Illinois, USA, June 20-25, 2010, pp. 320--323. Google ScholarDigital Library
- K. Sato, H. Sato, S. Matsuoka. Model-based Optimization for Data-intensive Application on Virtual Cluster. In The 9th IEEE/ACM International Conference on Grid Computing (Grid'08), Tsukuba, Japan, pp.367--368 Google ScholarDigital Library
- B. Sotomayor, K. Keahey and I. Foster. Combining Batch Execution and Leasing Using Virtual Machines. In Proceedings of the Eighteenth International Symposium on High Performance Distributed Computing (HPDC'08), June 23-27, 2008, Boston, MA, USA, pp.87--96. Google ScholarDigital Library
- M. Tarighi, S. A. Motamedi and S. Sharifian. "A New Model for Virtual Machine Migration in Virtualized Cluster Server Based on Fuzzy Decision Making", Journal of Tele-communications, Vol.1, No.1, February 2010, pp.40--51.Google Scholar
- A. Verma, P. Ahuja, and A. Neogi. pMapper: Power and Migration Cost Aware Application Placement in Virtualized Systems. In Proceedings of the 9th ACM/IFIP/USENIX In-ternational Conference on Middleware (Middleware'08), Springer-Verlag, Leuven, Belgium, December 1-5, 2008, pp.243--264. Google ScholarDigital Library
- W. Voorsluys, J. Broberg, S. Venugopal, and R. Buyya. Cost of Virtual Machine Live Migration in Clouds: A Perform-ance Evaluation. In Proceedings of the 1st International Conference on Cloud Computing, Lecture Notes In Computer Science, Beijing, China, December, 2009, pp.254--265. Google ScholarDigital Library
- T. Wood, P. Shenoy, A. Venkataramani and M. Yousif. Black-box and Gray-box Strategies for Virtual Machine Migration. In Proceedings of 4th USENIX Symposium on Networked Systems Design and Implementation (NSDI'07), Cambridge, MA, USA, April 11-13, 2007, pp. 229--242. Google ScholarDigital Library
Index Terms
- Performance and energy modeling for live migration of virtual machines
Recommendations
Performance and energy modeling for live migration of virtual machines
Live migration of virtual machine (VM) provides a significant benefit for virtual server mobility without disrupting service. It is widely used for system management in virtualized data centers. However, migration costs may vary significantly for ...
Traffic-sensitive live migration of virtual machines
CCGRID '15: Proceedings of the 15th IEEE/ACM International Symposium on Cluster, Cloud, and Grid ComputingIn this paper we address the problem of network contention between the migration traffic and the Virtual Machine (VM) application traffic for the live migration of co-located Virtual Machines. When VMs are migrated with pre-copy, they run at the source ...
Performance Analysis for Pareto-Optimal Green Consolidation Based on Virtual Machines Live Migration
Huge energy requirement of cloud data centers is prime concern. Dynamic Virtual Machine VM consolidation based on VM live migration to switched-off or put some of the under-loaded host Physical Machines PMs into a low power consumption mode can ...
Comments