Maximum revenue-oriented resource allocation in cloud

International Journal of Grid and Utility Computing

Volumn 7, Issue 1, 2016, Pages 12-21

  Feng, Guofu ^a   Buyya, Rajkumar ^b  

^a NANJING AUDIT UNIVERSITY   (China)

^b UNIVERSITY OF MELBOURNE   (Australia)

Author keywords

Cloud computing; Pooled resources; Pricing mechanism; Resource allocation; Service level agreement; Time service factor

Indexed keywords

CLOUD COMPUTING; CLUSTER COMPUTING; COMPUTATION THEORY; COSTS; GRID COMPUTING; OPTIMAL SYSTEMS; QUALITY OF SERVICE; QUEUEING THEORY; RESOURCE ALLOCATION;

OPTIMAL RESOURCE ALLOCATION; POOLED RESOURCES; PRICING MECHANISM; QUALITY OF SERVICE PARAMETERS; RESOURCE ALLOCATION PROBLEM; SERVICE FACTORS; SERVICE LEVEL AGREEMENTS; VARIABLE PERFORMANCE;

ECONOMICS;

EID: 84953234480     PISSN: 1741847X     EISSN: 17418488     Source Type: Journal    
DOI: 10.1504/IJGUC.2016.073772     Document Type: Article

References (30)

1. Amato, F., Moscato, V., Mazzeo, A. and Picariello, S. (2013) 'Exploiting cloud technologies and context information for recommending touristic paths', IDC 2013: Proceedings of International Distributed Computing, Prague, Czech Republic, pp. 281-287.
2. Bonvin, N., Papaioannou, T.G. and Aberer, K. (2011) 'Autonomic SLA-driven provisioning for cloud applications', CCGRID 2011: Proceedings of the 11th International Symposium on Cluster, Cloud and Grid Computing, Newport Beach, CA, USA, pp. 434-443.
3. Buyya, R., Lee, C., Lehoczky, J. and Siewiorek, D. (1997) 'A resource allocation model for QoS management', RTSS 1997: Proceedings of 18th IEEE Real-Time Systems Symposium, San Francisco, California, USA, pp. 298-307.
4. Buyya, R., Yeo, C.S., Venugopal, S., Broberg, J. and Brandic, I. (2009) '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.
5. Chandra, A., Gong, W. and Shenoy, P. (2003) 'Dynamic resource allocation for shared data centers using online measurements', IWQoS: Proceedings of 11th IEEE/ACM International Workshop on Quality of Service, Berkeley, CA, USA, pp. 381-400.
6. Daniel, A.M., Daniel, B. and Ronald, D. (2001) 'Preserving QoS of e-commerce sites through self-tuning: a performance model approach', ACM EC 2001: Proceedings of 3rd ACM Conference on Electronic Commerce, Tampa, Florida, USA, pp. 224-234.
7. Garg, S., Srinivasa K. and Buyya, R. (2011) 'SLA-based resource provisioning for heterogeneous workloads in a virtualized cloud datacenter', in Xiang, Y., Cuzzocrea, A., Hobbs, M. and Zhou, W. (Eds): Algorithms and Architectures for Parallel Computing, Springer-Verlag Berlin, Heidelberg, Germany, pp. 371-384.
8. Ghosh, S., Rajkumar, R., Hansen, J. and Lehoczky, J. (2003) 'Scalable resource allocation for multi-processor QoS optimization', ICDCS 2003: Proceedings of 23rd International Conference on Distributed Computing and Systems, Columbus, Ohio, USA, pp. 174-183.
9. Goiri, I., Guitart, J. and Torres, J. (2012) 'Economic model of a cloud provider operating in a federated cloud', Information Systems Frontiers, Vol. 14, No. 4, pp. 827-843.
10. Gong, C., Liu, J., Zhang Q., Chen, H. and Gong, Z. (2010) 'The characteristics of cloud computing', ICPPW 2010: Proceedings of 39th International Conference on Parallel Processing Workshops, Pittsburgh, PA, USA, pp. 275-279.
11. Goudarzi, H. and Pedram, M. (2011) 'Multi-dimensional SLAbased resource allocation for multi-tier cloud computing systems', IEEE CLOUD 2011: Proceedings of the 4th International Conference on Cloud Computing, Washington DC, USA, pp. 324-331.
12. Goudarzi, H., Ghasemazar, M. and Perdram, M. (2012) 'SLAbased optimization of power and migration cost in cloud computing', CCGRID 2012: Proceedings of the 12th International Symposium on Cluster, Cloud and Grid Computing, Ottawa, Ontario, Canada, pp. 172-179.
13. Hansen, J.P., Ghosh, S., Rajkumar, R. and Lehoczky, J. (2004) 'Resource management of highly configurable tasks', IPDPS 2004: Proceedings of 18th International Parallel and Distributed Processing Symposium, Santa Fe, New Mexico, USA, p.116a.
14. Householder, R., Arnold, S. and Green, R. (2014a) 'On cloudbased oversubscription', International Journal of Engineering Trends and Technology, Vol. 8, No. 8, pp. 425-431.
15. Householder, R., Arnold, S. and Green, R. (2014b) 'Simulating the effects of cloud-based oversubscription on data center revenues and performance in single and multi-class service levels', CLOUD 2014: Proceedings of the 7th IEEE International Conference on Cloud Computing, Anchorage, Alaska, USA.
16. Internet Traffic Archive (2011) Available online at: http://ita.ee.lbl.gov/html/traces.html (accessed on 23 August 2011).
17. Kertesz, A., Kecskemeti, G. and Brandic, I. (2014) 'An interoperable and self-adaptive approach for SLA-based service virtualization in heterogeneous cloud environments', Future Generation Computer Systems, Vol. 32, No. 1, pp. 54-68.
18. Levy, R., Nagarajarao, J., Pacifici, G., Spreitzer, M., Tantawi, A. and Youssef, A. (2003) 'Performance management for cluster based web services', IM 2003: Proceedings of IEEE 8th International Symposium on Integrated Network Management, Colorado Springs, CO, USA, pp. 247-261.
19. Li, Y., Sun, K., Qiu, J. and Chen, Y. (2005) 'Self-reconfiguration of service-based systems: a case study for service level agreements and resource optimization', ICWS 2005: Proceedings of IEEE International Conference on Web Services, Orlando, Florida, USA, pp. 266-273.
20. Liu, Z., Squillante, M.S. and Wolf, J.L. (2001) 'On maximizing service-level-agreement profits', ACM EC 2001: Proceedings of the 3rd ACM Conference on Electronic Commerce, Tampa, Florida, USA, pp. 213-223.
21. Mazzucco, M. (2009) Revenue Maximization Problems in Commercial Data Centers, Unpublished PhD Thesis, University of Newcastle, Newcastle, UK.
22. Mohammed, N.B. and Daniel, M. (2005) 'Resource allocation for autonomic data centers using analytic performance models', ICAC 2005: Proceedings of the Second International Conference on Autonomic Computing, Seattle, WA, USA, pp. 229-240.
23. Püschel, T., Borissov, N., Neumann, D., Macías, M., Guitart, J. and Torres, J. (2010) 'Extended resource management using client classification and economic enhancements', in Neumann, D., Baker, M., Altmann, J. and Rana, A. (Eds): Economic Models and Algorithms for Distributed Systems, Birkhäuser Basel, Basel, Switzerland, pp. 129-141.
24. Thomas, G.R. (2000) 'Computer networks and systems: queue theory and performance evaluation', 3rd ed., Springer-Verlag, New York, USA.
25. Villela, D., Pradhan, P. and Rubenstein, D. (2007) 'Provisioning servers in the application tier for e-commerce systems', ACM Transactions on Internet Technology, Vol. 7, No. 1, pp. 57-66.
26. Walsh, W.E., Tesauro, G., Kephart, J.O. and Das, R. (2004) 'Utility functions in autonomic systems', ICAC 2004: Proceedings of the International Conference on Autonomic Computing, New York, USA, pp. 70-77.
27. Wikipedia (2014) Service-level agreement. Available online at: http://en.wikipedia.org/wiki/Service-level-agreement (accessed on 20 March 2014).
28. Wu, L., Kumar, S.G. and Buyya, R. (2011) 'SLA-based resource allocation for software as a service provider (SaaS) in cloud computing environments', CCGRID'11: Proceedings of the 11th International Symposium on Cluster, Cloud and Grid Computing, Newport Beach, CA, USA, pp. 195-204.
29. Zhang, L. and Ardagna, D. (2004) 'SLA based revenue optimization in autonomic computing systems', ICSOC 2004: Proceedings of the 2nd International Conference on Service Oriented Computing, New York City, USA, pp. 173-182.
30. Zhu, H., Tang, H. and Yang, T. (2001) 'Demand-driven service differentiation in cluster-based network servers', InfoCom 2001: Proceedings of IEEE InfoCom, Anchorage, Alaska, USA, pp. 679-688.