Developing resource consolidation frameworks for moldable virtual machines in clouds

Future Generation Computer Systems

Volumn 32, Issue 1, 2014, Pages 69-81

  He, Ligang ^a   Zou, Deqing ^b   Zhang, Zhang ^b   Chen, Chao ^a   Jin, Hai ^b   Jarvis, Stephen A ^a  

^a UNIVERSITY OF WARWICK   (United Kingdom)

^b HUAZHONG UNIVERSITY OF SCIENCE AND TECHNOLOGY   (China)

Author keywords

Cloud; Cluster; Virtualization

Indexed keywords

CLUSTER; CONSOLIDATION METHODS; MULTIPLE CLUSTERS; PHYSICAL CLUSTERS; RECONFIGURATION ALGORITHM; RESOURCE CAPACITY; RESOURCE CONSOLIDATION; VIRTUALIZATIONS;

CLOUDS; COMPUTER SIMULATION;

ALGORITHMS;

EID: 84891593179     PISSN: 0167739X     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.future.2012.05.015     Document Type: Article

References (25)

1. M. Armbrust, A. Fox, R. Griffith, et al. Above the Clouds: A Berkeley view of Cloud computing. Technical Report, February 10, 2009.
2. R. Buyya, C.S. Yeo, S. Venugopal, Market-oriented Cloud computing: Vision, hype, and reality for delivering it services as computing utilities. CoRR, (abs/0808.3558), 2008.
3. S. Nanda, T. Chiueh, A survey on virtualization technologies. Technical Report, TR-179, Stony Brook University, Feb 2005. http://www.ecsl.cs.sunysb.edu/ tr/TR179.pdf.
4. P. Barham, B. Dragovic, and K. Fraser et al. Xen and the art of virtualization Proceedings of the Nineteenth ACM Symposium on Operating Systems Principles 2003 ACM Press 164 177 (Pubitemid 40929695)
5. VMware Infrastructure:Resource Management with VMware DRS. VMware Whitepaper 2006.
6. D. Nurmi, R. Wolski, C. Grzegorczyk, G. Obertelli, S. Soman, L. Youseff, D. Zagorodnov, The eucalyptus open-source Cloud-computing system, in: Proceedings of the 2009 9th IEEE/ACM International Symposium on Cluster Computing and the Grid, 2009, pp. 124-131.
7. Nimbus, http://www.nimbusproject.org.
8. R. Nathuji, K. Schwan, Virtualpower: coordinated power management in virtualized enterprise systems, in: Proceedings of the 21st ACM Symposium on Operating Systems Principles, SOSP, October 2007, pp. 265-278.
9. R. Nathuji, K. Schwan, VPM tokens: virtual machine-aware power budgeting in datacenters, in: Proceedings of the ACM/IEEE International Symposium on High Performance Distributed Computing, HPDC, Boston, Massachusetts, USA June 2008, June 23-27, 2008, pp. 119-128.
10. H. Chen, H. Jin, Z. Shao, K. Yu, K. Tian, ClientVisor: leverage COTS OS functionalities for power management in virtualized desktop environment, in: Proceedings of the 2009 ACM SIGPLAN/SIGOPS international conference on Virtual execution environments, VEE, 2009, pp. 131-140.
11. L. Hu, H. Jin, X. Liao, X. Xiong, and H. Liu Magnet: A Novel Scheduling Policy for Power Reduction in Cluster with Virtual Machines Proceeding of 2008 IEEE International Conference on Cluster Computing Cluster 2008 2008 IEEE Computer Society Japan 13 22 Sept. 29 2008-Oct. 1
12. F. Hermenier, X. Lorca, J. Menaud, G. Muller, J. Lawall, Entropy: a consolidation manager for clusters, in: Proceedings of the 2009 ACM SIGPLAN/SIGOPS International Conference on Virtual Execution Environments, 2009, pp. 41-50.
13. Y. Song, H. Wang, Y. Li, B. Feng, Y. Sun, Multi-tiered on-demand resource scheduling for VM-Based data center, in: 9th IEEE/ACM International Symposium on Cluster Computing and the Grid, 2009.
14. L. He, D. Zou, Z. Zhang, K. Yang, H. Jin, S. Jarvis, Optimizing resource consumptions in clouds, in: The 12th IEEE/ACM International Conference on Grid Computing, Grid 2011, 2011.
15. L. Hu, H. Jin, X. Liao, X. Xiong, H. Liu, Magnet: a novel scheduling policy for power reduction in cluster with virtual machines, 2008 IEEE International Conference on Cluster Computing.
16. V. Petrucci, O. Loques, and D. Mosse A dynamic optimization model for power and performance management of virtualized clusters e-Energy'10 2010 ACM New York, NY, USA 225 233
17. M. Maurer, I. Brandic, R. Sakellariou, Enacting SLAs in clouds using rules, in: Euro-Par 2011, Bordeaux August 29th-September 2nd 2011, France.
18. P. Padala, X. Zhu, M. Uysal, Z. Wang, S. Singhal, A. Merchant, K. Salem, K.G. Shin, Adaptive control of virtualized resources in utility computing environments, in: Proceedings of the European Conference on Computer Systems, EuroSys, 2007, pp. 289-302. (Pubitemid 47281590)
19. I. Cunha, J. Almeida, V. Almeida, M. Santos, Self-adaptive capacity management for multitier virtualized environments, in: Proceedings 10th Symposium on Integrated Network Management, 2007, pp. 129-138. (Pubitemid 47485166)
20. J. Ejarque, M.D. Palol, I. Goiri, F. Julia, R.M. Gui-tart, J. Badia, J. Torres, SLA-driven semantically-enhanced dynamic resource allocator for virtualized service providers, in: Proceedings of the 4th IEEE Inter-national Conference on eScience, eScience 2008, Indianapolis, Indiana, USA, Dec 2008,pp. 8-15.
21. G. Jung, K. Joshi, M. Hiltunen, R. Schlichting, C. Pu, Generating adaptation policies for multi-tier applications in consolidated server environments, in: IEEE International Conference on Autonomic Computing, 2008, pp. 23-32.
22. B. Sotomayor, K. Keahey, I. Foster, Combining batch execution and leasing using virtual machines, in: Proceedings of the 17th International Symposium on High Performance Distributed Computing, 2008, pp. 87-96.
23. http://en.wikipedia.org/wiki/Eucalyptus-computing
24. G. Jung, M. Hiltunen, K. Joshi, R. Schlichting, C. Pu, Mistral-dynamically managing power, performance, and adaptation cost in cloud infrastructures, ICDCS 2010, pp. 62-73.
25. O. Tickoo, R. Iyer, R. Illikkal, and D. Newell Modelling Virtual Machine Performance: Challenges and Approaches ACM SIGMETRICS Performance Evaluation Review 37 3 2009