Improving resource efficiency in data centers using reputation-based resource selection

2010 International Conference on Green Computing, Green Comp 2010

Volumn , Issue , 2010, Pages 389-396

  Nguyen, Tung ^a   Shi, Weisong ^a  

^a Wayne State University   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

DATA CENTERS; DATA INTENSIVE; ENERGY WASTES; EXECUTION TIME; HEAVY WORKLOADS; JUST IN TIME; OPEN SOURCE FRAMEWORKS; REPUTATION SYSTEMS; RESOURCE EFFICIENCIES; RESOURCE SELECTION; RESOURCE WASTES; SINGLE-VALUE; SYSTEM LEVELS; TRUST MODELS;

REAL TIME SYSTEMS; SATELLITE COMMUNICATION SYSTEMS; SCHEDULING;

ENERGY CONVERSION;

EID: 78449271375     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/GREENCOMP.2010.5598290     Document Type: Conference Paper

References (31)

1. http://ganglia.info/.
2. http://wiki.apache.org/hadoop/.
3. http://www.ebay.com/.
4. http://www.gartner.com.
5. Improving MapReduce Performance in Heterogeneous Environments, San Diego, CA, 12/2008 2008. USENIX Association.
6. A. J. A. Whitby and J. Indulska. Filtering out unfair ratings in bayesian reputation systems. In The Icfain Journal of Management Research, volume 4, pages 48-64, February 2003.
7. B. K. Alunkal, I. Veljkovic, G. V. Laszewski, and K. Amin. Reputation-based grid resource selection. In Workshop on Adaptive Grid Middleware, page 28, 2003.
8. F. Azzedin and M. Maheswaran. Evolving and managing trust in grid computing systems. In in Proceedings of IEEE Canadian Conference on Electrical & Computer Engineering, pages 1424-1429, May 2002.
9. L. A. Barroso and U. Hölzle. The Datacenter as a Computer: An Introduction to the Design of Warehouse-Scale Machines, volume Lecture #6.
10. L. A. Barroso and U. Hölzle. The case for energy-proportional computing. Computer, 40(12):33-37, 2007.
11. P. Bohrer, E. N. Elnozahy, T. Keller, M. Kistler, C. Lefurgy, C. McDowell, and R. Rajamony. The case for power management in web servers. pages 261-289, 2002.
12. R. Buyya, D. Abramson, and J. Giddy. Nimrod-G: An architecture for a resource management and scheduling system in a global computational grid. In HPCAsia 2000, May 2000.
13. J. P. Christian Belady, Andy Rawson and T. Cader. Green grid data center power efficiency metrics: Pue and dcie. www.thegreengrid.org, 2008.
14. J. Clark. Us government to consolidate data centers? The Data Center Journal, 2010.
15. B. E. Commerce, A. Jøsang, and R. Ismail. The beta reputation system. In In Proceedings of the 15th Bled Electronic Commerce Conference, 2002.
16. J. C. M. M. P. L. Dan Azevedo, Jon Haas. How to measure and report pue and dcie. www.thegreengrid.org, 2008.
17. EPA. Epa report to congress on server and data center energy efficiency. Technical report, U.S. Environmental Protection Agency, 2007.
18. J. Frey, T. Tannenbaum, M. Livny, I. Foster, and S. Tuecke. Condor-g: A computation management agent for multi-institutional grids. In Proc. of the 10th International Symposium on High Performance Distributed Computing (HPDC-10), Aug. 2001.
19. M. Hill. Amdahl's law in the multicore era, Jan 2010.
20. M. H. Jed Scaramella. Service-based approaches to improving data center thermal and power efficiencIes. IDC White Paper, May 2007.
21. M. A. Jøsang and E.Gray. Analysing topologies of transitive trust. In Proceedings of the Workshop of Formal Aspects of Security and Trust (FA T), September 2003.
22. S. Kamvar, M. T. Schlosser, and H. Gacia-Molina. The eigen-trust algorithm for reputation management in p2p networks. In Proc. of the 12th International World Wide Web Conference (2003), May 2003.
23. E. Kotsovinos and D. Mcilwraith. replic8: Location-aware data replication for high availability in ubiquitous environments. In Wired/Wireless Internet Communications, volume 3510, pages 32-41, Berlin / Heidelberg, 2005. Springer.
24. Z. Liang and W. Shi. Analysis of recommendations on trust inference in the open environment. Technical Report MIST-TR-2005-002, Department of Computer Science, Wayne State University, Feb. 2005.
25. Z. Liang and W. Shi. Enforcing cooperative resource sharing in untrusted peer-to-peer environment. ACM Journal of Mobile Networks and Applications (MONET) special issue on Non-cooperative Wireless networking and computing, 10(6):771-783, Dec. 2005.
26. Z. Liang and W. Shi. Analysis of ratings on trust inference in open environments. Elsevier Performance Evaluation, 65(2):99-128, Feb. 2008.
27. R. Raman, M. Livny, and M. Solomon. Matchmaking: Distributed resource management for high throughput computing. High-Performance Distributed Computing, International Symposium on, 0:140, 1998.
28. B. Schroeder and G. A. Gibson. Disk failures in the real world: What does an mttf of 1,000000 hours mean to you? In Proc. of the 5th USENIX Conf. On File and Storage Technologies, pages 1-9, Feb. 2007.
29. J. Sonnek, A. Chandra, and J. Weissman. Adaptive reputation-based scheduling on unreliable distributed infrastructures. IEEE Trans. Parallel Distrib. Syst., 18(11):1551-1564, 2007.
30. J. Sonnek and J. Weissman. A quantitative comparison of reputation systems in the grid. Grid Computing, IEEE/ACM International Workshop on, 0:242-249, 2005.
31. M. Zaharia, D. Borthakur, J. Sarma, K. Elmeleegy, S. Shenker, and I. Stoica. Delay scheduling: A simple technique for achieving locality and fairness in cluster scheduling. EuroSys, 2010.