Optimal multiserver configuration for profit maximization in cloud computing

IEEE Transactions on Parallel and Distributed Systems

Volumn 24, Issue 6, 2013, Pages 1087-1096

  Cao, Junwei ^a   Hwang, Kai ^b   Li, Keqin ^c   Zomaya, Albert Y ^d  

^a TSINGHUA UNIVERSITY   (China)

^b University of Southern California ^*  (United States)

^c STATE UNIVERSITY OF NEW YORK   (United States)

^d UNIVERSITY OF SYDNEY   (Australia)

Author keywords

Cloud computing; multiserver system; pricing model; profit; queuing model; response time; server configuration; service charge; service level agreement; waiting time

Indexed keywords

MULTI-SERVER; PRICING MODELS; QUEUING MODELS; SERVICE CHARGE; SERVICE LEVEL AGREEMENTS; WAITING-TIME;

CLOUD COMPUTING; COSTS; ECONOMICS; ENERGY UTILIZATION; OPTIMIZATION; PROBABILITY DENSITY FUNCTION; PROFITABILITY; QUALITY OF SERVICE; QUEUEING THEORY; RESPONSE TIME (COMPUTER SYSTEMS); SPEED CONTROL;

COMPUTER SYSTEMS;

EID: 84877791367     PISSN: 10459219     EISSN: None     Source Type: Journal    
DOI: 10.1109/TPDS.2012.203     Document Type: Article

References (22)

1. http://en.wikipedia.org/wiki/CMOS, 2012.
2. http://en.wikipedia.org/wiki/Service-level-agreement, 2012.
3. M. Armbrust et al., "Above the Clouds: A Berkeley View of Cloud Computing," Technical Report No. UCB/EECS-2009-28, Feb. 2009.
4. R. Buyya, D. Abramson, J. Giddy, and H. Stockinger, "Economic Models for Resource Management and Scheduling in Grid Computing," Concurrency and Computation: Practice and Experience, vol. 14, pp. 1507-1542, 2007.
5. R. Buyya, C.S. Yeo, S. Venugopal, J. Broberg, and I. Brandic, "Cloud Computing and Emerging IT Platforms: Vision, Hype, and Reality for Delivering Computing as the Fifth Utility," Future Generation Computer Systems, vol. 25, no. 6, pp. 599-616, 2009.
6. A.P. Chandrakasan, S. Sheng, and R.W. Brodersen, "Low-Power CMOS Digital Design," IEEE J. Solid-State Circuits, vol. 27, no. 4, pp. 473-484, Apr. 1992.
7. B.N. Chun and D.E. Culler, "User-Centric Performance Analysis of Market-Based Cluster Batch Schedulers," Proc. Second IEEE/ACM Int'l Symp. Cluster Computing and the Grid, 2002.
8. D. Durkee, "Why Cloud Computing Will Never be Free," Comm. ACM, vol. 53, no. 5, pp. 62-69, 2010.
9. R. Ghosh, K.S. Trivedi, V.K. Naik, and D.S. Kim, "End-to-End Performability Analysis for Infrastructure-as-a-Service Cloud: An Interacting Stochastic Models Approach," Proc. 16th IEEE Pacific Rim Int'l Symp. Dependable Computing, pp. 125-132, 2010.
10. K. Hwang, G.C. Fox, and J.J. Dongarra, Distributed and Cloud Computing. Morgan Kaufmann, 2012.
11. "Enhanced Intel SpeedStep Technology for the Intel Pentium M Processor,"White Paper, Intel, Mar. 2004.
12. D.E. Irwin, L.E. Grit, and J.S. Chase, "Balancing Risk and Reward in a Market-Based Task Service," Proc. 13th IEEE Int'l Symp. High Performance Distributed Computing, pp. 160-169, 2004.
13. H. Khazaei, J. Misic, and V.B. Misic, "Performance Analysis of Cloud Computing Centers Using M/G/m/m+r Queuing Systems," IEEE Trans. Parallel and Distributed Systems, vol. 23, no. 5, pp. 936-943, May 2012.
14. L. Kleinrock, Queueing Systems: Theory, vol. 1. John Wiley and Sons, 1975.
15. Y.C. Lee, C. Wang, A.Y. Zomaya, and B.B. Zhou, "Profit-Driven Service Request Scheduling in Clouds," Proc. 10th IEEE/ACM Int'l Conf. Cluster, Cloud and Grid Computing, pp. 15-24, 2010.
16. K. Li, "Optimal Load Distribution for Multiple Heterogeneous Blade Servers in a Cloud Computing Environment," Proc. 25th IEEE Int'l Parallel and Distributed Processing Symp. Workshops, pp. 943-952, May 2011.
17. K. Li, "Optimal Configuration of a Multicore Server Processor for Managing the Power and Performance Tradeoff," J. Supercomputing, vol. 61, no. 1, pp. 189-214, 2012.
18. P. Mell and T. Grance, "The NIST Definition of Cloud Computing," Nat'l Inst. of Standards and Technology, http://csrc.nist. gov/groups/SNS/cloud-computing/, 2009.
19. F.I. Popovici and J. Wilkes, "Profitable Services in an Uncertain World," Proc. ACM/IEEE Conf. Supercomputing, 2005.
20. J. Sherwani, N. Ali, N. Lotia, Z. Hayat, and R. Buyya, "Libra: A Computational Economy-Based Job Scheduling System for Clusters," Software-Practice and Experience, vol. 34, pp. 573-590, 2004.
21. C.S. Yeo and R. Buyya, "A Taxonomy of Market-Based Resource Management Systems for Utility-Driven Cluster Computing," Software-Practice and Experience, vol. 36, pp. 1381-1419, 2006. (Pubitemid 44619958)
22. B. Zhai, D. Blaauw, D. Sylvester, and K. Flautner, "Theoretical and Practical Limits of Dynamic Voltage Scaling," Proc. 41st Design Automation Conf., pp. 868-873, 2004.