Energy-credit scheduler: An energy-aware virtual machine scheduler for cloud systems

Future Generation Computer Systems

Volumn 32, Issue 1, 2014, Pages 128-137

  Kim, Nakku ^a   Cho, Jungwook ^b   Seo, Euiseong ^b  

^a Ulsan National Institute of Science and Technology   (South Korea)

^b Sungkyunkwan University   (South Korea)

Author keywords

Cloud computing; Energy aware computing; Resource accounting; Scheduling; Virtualization

Indexed keywords

COMPUTING RESOURCE; DEDICATED MEASUREMENTS; ENERGY-AWARE COMPUTING; RESOURCE ACCOUNTINGS; TOTAL ENERGY CONSUMPTION; VIRTUAL MACHINE SCHEDULING; VIRTUALIZATIONS; VIRTUALIZED ENVIRONMENT;

CLOUD COMPUTING; ENERGY EFFICIENCY; ENERGY UTILIZATION; ESTIMATION; HARDWARE; SCHEDULING; VIRTUAL REALITY;

COMPUTER HARDWARE;

EID: 84891598672     PISSN: 0167739X     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.future.2012.05.019     Document Type: Article

References (27)

1. R. Kumar US datacenters: the calm before the storm Gartner White Paper 2007
2. M. Armbrust, A. Fox, R. Griffith, A.D. Joseph, R.H. Katz, A. Konwinski, G. Lee, D.A. Patterson, A. Rabkin, I. Stoica, M. Zaharia, Above the clouds: a Berkeley view of cloud computing, Technical Report UCB/EECS-2009-28, UC Berkeley. 2009.
3. E. Elmroth, F.G. Marquez, D. Henriksson, D.P. Ferrera, Accounting and billing for federated cloud infrastructures, in: Proceedings of the 2009 Eighth International Conference on Grid and Cooperative Computing, 2009.
4. S. Govindan, J. Choi, B. Urgaonkar, A. Sivasubramaniam, A. Baldini, Statistical profiling-based techniques for effective power provisioning in data centers, in: Proceedings of EuroSys'09, 2009.
5. H. Zeng, C.S. Ellis, A.R. Lebeck, A. Vahdat, ECOSystem: managing energy as a first class operating system resource, in: Proceedings of the 10th International Conference on Architectural Support for Programming Languages and Operating Systems, 2002, pp. 123-132.
6. C. Lefurgy, X. Wang, M. Ware, Server-level power control, in: Proceedings of the Fourth International Conference on Autonomic Computing, 2007.
7. S. Bhadri, S. Bhat Ramakrishna, Enhanced power monitoring for Dell PowerEdge servers, Dell Power Solutions August.
8. J. Jenne, V. Nijhawan, and R. Hormuth Architecture (DESA) for 11G rack and tower servers Dell White Paper 2009
9. A. Merkel, J. Stoess, F. Bellosa, Resource-conscious scheduling for energy efficiency on multicore processors, in: Proceedings of the 5th European Conference on Computer systems, EuroSys'10, 2010, pp. 153-166.
10. L. Cherkasova, D. Gupta, and A. Vahdat Comparison of the three CPU schedulers in Xen SIGMETRICS Perform. Eval. Rev. 35 2007 42 51
11. E. Ackaouy, The Xen Credit CPU scheduler, in: Proceedings of 2006 Fall Xen Summit, 2006.
12. W. Felter, K. Rajamani, T. Keller, C. Rusu, A performance-conserving approach for reducing peak power consumption in server systems, in: Proceedings of the 19th Annual International Conference on Supercomputing, 2005.
13. X. Fan, W.-D. Weber, L.A. Barroso, Power provisioning for a warehouse-sized computer, in: Proceedings of the 34th Annual International Symposium on Computer Architecture, ISCA'07, 2007.
14. J. Choi, S. Govindan, B. Urgaonkar, A. Sivasubramaniam, Profiling, prediction, and capping of power consumption in consolidated environments, in: Modeling, Analysis and Simulation of Computers and Telecommunication Systems, 2008. MASCOTS 2008. IEEE International Symposium on, 2008.
15. S. Srikantaiah, A. Kansal, F. Zhao, Energy aware consolidation for cloud computing, in: Proceedings of the 2008 Conference on Power Aware Computing and Systems, HotPower'08, 2008.
16. A. Kansal, F. Zhao, J. Liu, N. Kothari, A.A. Bhattacharya, Virtual machine power metering and provisioning, in: Proceedings of the 1st ACM symposium on Cloud Computing, 2010.
17. D.C. Snowdon, E. Le Sueur, S.M. Petters, G. Heiser, Koala: a platform for os-level power management, in: Proceedings of the 4th ACM European Conference on Computer systems, 2009.
18. V. Tiwari, S. Malik, A. Wolfe, M.T.-C. Lee, Instruction level power analysis and optimization of software, in: Proceedings of the 9th International Conference on VLSI Design: VLSI in Mobile Communication, 1996.
19. A. Sinha, A.P. Chandrakasan, Jouletrack: a web based tool for software energy profiling, in: Proceedings of the 38th Annual Design Automation Conference, 2001.
20. D. Brooks, V. Tiwari, M. Martonosi, Wattch: a framework for architectural-level power analysis and optimizations, in: Proceedings of the 27th Annual International Symposium on Computer Architecture, 2000.
21. P. Stanley-Marbell, M. Hsiao, Fast, flexible, cycle-accurate energy estimation, in: Proceedings of the 2001 International Symposium on Low Power Electronics and Design, 2001.
22. R. Nathuji, K. Schwan, Virtualpower: coordinated power management in virtualized enterprise systems, in: Proceedings of Twenty-first ACM SIGOPS Symposium on Operating Systems Principles, 2007, pp. 265-278. (Pubitemid 351429381)
23. R. Nathuji, P. England, P. Sharma, A. Singh, Feedback driven qos-aware power budgeting for virtualized servers, in: Proceedings of the Fourth International Workshop on Feedback Control Implementation and Design in Computing Systems and Networks (FeBID), 2009.
24. E. Seo, J. Jeong, S. Park, and J. Lee Energy efficient scheduling of real-time tasks on multicore processors IEEE Trans. Parallel Distrib. Syst. 19 2008 1540 1552
25. Intel 64 and IA64 Architectures Software Developer's Manual Vol. 3B, Intel Corporation, 2011, Ch. 30.
26. P. Barham, B. Dragovic, K. Fraser, S. Hand, T. Harris, A. Ho, R. Neugebauer, I. Pratt, A. Warfield, Xen and the art of virtualization, in: Proceedings of the Nineteenth ACM Symposium on Operating Systems Principles, 2003.
27. P. Mochel, The sysfs filesystem, in: Proceedings of the Ottawa Linux Symposium 2005, 2005.