Exploiting user patience for scaling resource capacity in cloud services

IEEE International Conference on Cloud Computing, CLOUD

Volumn , Issue , 2014, Pages 448-455

  Cunha, Renato L F ^a   Assunção, Marcos D ^a   Cardonha, Carlos ^a   Netto, Marco A S ^a  

^a IBM RESEARCH   (United States)

Author keywords

Auto scaling; Cloud Computing; Elasticity; User Patience

Indexed keywords

CLOUD COMPUTING; ELASTICITY;

AUTO-SCALING; CLOUD PLATFORMS; CONFLICTING OBJECTIVES; IMPORTANT FEATURES; RESOURCE CAPACITY; SERVICE PROVIDER; SYSTEM CAPACITY; USER PATIENCE;

WEB SERVICES;

EID: 84919819883     PISSN: 21596182     EISSN: 21596190     Source Type: Conference Proceeding    
DOI: 10.1109/CLOUD.2014.67     Document Type: Conference Paper

References (29)

1. J. Ramsay, A. Barbesi, and J. Preece, "A psychological investigation of long retrieval times on the world wide web," Interacting with computers, vol. 10, no. 1, pp. 77-86, 1998.
2. C. Cardonha, M. D. Assunção, M. A. S. Netto, R. L. F. Cunha, and C. Queiroz, "Patience-aware scheduling for cloud services: Freeing users from the chains of boredom," in Proc. of the 11th International Conference on Service Oriented Computing (ICSOC'13), 2013.
3. M. A. S. Netto et al., "Leveraging attention scarcity to improve the overall user experience of cloud services," in Proc. of the Int. Conf. on Network and Service Management (CNSM'13), 2013.
4. D. Kahneman and A. Tversky, "Prospect theory: An analysis of decision under risk," Econometrica: Journal of the Econometric Society, pp. 263-291, 1979.
5. J. Blazewicz, K. Ecke, G. Schmidt, and J. Weglarz, Scheduling in Computer and Manufacturing Systems, 2nd ed., 1994.
6. M. L. Pinedo, Planning and Scheduling in Manufacturing and Services, 2nd ed., 2007.
7. D. Tsafrir, Y. Etsion, and D. G. Feitelson, "Backfilling using system-generated predictions rather than user runtime estimates," IEEE Transactions on Parallel and Distributed Systems, vol. 18, no. 6, pp. 789-803, 2007.
8. T. D. Braun et al., "A comparison of eleven static heuristics for mapping a class of independent tasks onto heterogeneous distributed computing systems," Journal of Parallel and Distributed computing, 2001.
9. D. G. Feitelson, L. Rudolph, U. Schwiegelshohn, K. C. Sevcik, and P. Wong, "Theory and practice in parallel job scheduling," in Workshop on Job Scheduling Strategies for Parallel Processing (JSSPP'97), 1997.
10. N. D. Doulamis, A. D. Doulamis, E. A. Varvarigos, and T. A. Varvarigou, "Fair scheduling algorithms in grids," IEEE Transactions on Parallel and Distributed Systems, vol. 18, no. 11, pp. 1630-1648, 2007.
11. J.-F. Pineau, Y. Robert, and F. Vivien, "Energy-aware scheduling of bag-of-tasks applications on master-worker platforms," Concurrency and Computation: Practice and Experience, vol. 23, no. 2, pp. 145-157, 2011.
12. M. D. Assunção et al., "Context-aware job scheduling for cloud computing environments," in Proceedings of the 5th IEEE Int. Conf. on Utility and Cloud Computing (UCC), 2012.
13. C. B. Lee and A. Snavely, "Precise and realistic utility functions for user-centric performance analysis of schedulers," in Proceedings of the Int. Symp. on High-Performance Distributed Computing (HPDC'07), 2007.
14. A. AuYoung et al., "Service contracts and aggregate utility functions," in 15th IEEE Int. Symp. on High Performance Distributed Computing (HPDC'06), 2006.
15. D. F. Galletta, R. M. Henry, S. McCoy, and P. Polak, "Web site delays: How tolerant are users?" Journal of the Association for Information Systems, vol. 5, no. 1, pp. 1-28, 2004.
16. F. Alt, A. Sahami Shirazi, A. Schmidt, and R. Atterer, "Bridging waiting times on web pages," in 14th Int. Conf. on Human-computer interaction with mobile devices and services (MobileHCI'12). New York, NY, USA: ACM, 2012, pp. 305-308.
17. R. Atterer, M. Wnuk, and A. Schmidt, "Knowing the user's every move: user activity tracking for website usability evaluation and implicit interaction," in 15th Int. Conf. on World Wide Web (WWW'06). New York, NY, USA: ACM, 2006, pp. 203-212.
18. C. R. Cunha and C. F. B. Jaccoud, "Determining www user's next access and its application to pre-fetching," in 2nd IEEE Symp. on Computers and Communications (ISCC '97), Washington, DC, USA, 1997, pp. 6.
19. N. Bhatti, A. Bouch, and A. Kuchinsky, "Integrating user-perceived quality into web server design," Computer Networks, vol. 33, no. 1, pp. 1-16, 2000.
20. A. Bouch, A. Kuchinsky, and N. Bhatti, "Quality is in the eye of the beholder: meeting users' requirements for internet quality of service," in Proceedings of the SIGCHI conference on Human factors in computing systems. ACM, 2000, pp. 297-304.
21. S. Taylor, "Waiting for service: the relationship between delays and evaluations of service," The Journal of Marketing, pp. 56-69, 1994.
22. L. Brown, N. Gans, A. Mandelbaum, A. Sakov, H. Shen, S. Zeltyn, and L. Zhao, "Statistical analysis of a telephone call center: A queueing-science perspective," Journal of the American Statistical Association, vol. 100, pp. 36-50, 2005.
23. N. Gans, G. Koole, and A. Mandelbaum, "Telephone call centers: Tutorial, review, and research prospects," Manufacturing & Service Operations Management, vol. 5, no. 2, pp. 79-141, 2003.
24. Z. Shen, S. Subbiah, X. Gu, and J. Wilkes, "Cloudscale: elastic resource scaling for multi-tenant cloud systems," in Proc. of the 2nd ACM Symposium on Cloud Computing. ACM, 2011, p. 5.
25. Y. Chen, S. Alspaugh, and R. Katz, "Interactive analytical processing in big data systems: A cross-industry study of mapreduce workloads," Proc. VLDB Endow., 2012.
26. Z. Fadika and M. Govindaraju, "DELMA: Dynamically ELastic MapReduce Framework for CPU-Intensive Applications," in Proc. of the 11th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing (CCGrid' 11), 2011, pp. 454-463.
27. M. Sedaghat, F. Hernandez-Rodriguez, and E. Elmroth, "A virtual machine re-packing approach to the horizontal vs. vertical elasticity trade-off for cloud autoscaling," in Proc. of the ACM Cloud and Autonomic Computing Conference (CAC'13). ACM, 2013.
28. M. Mao and M. Humphrey, "Auto-scaling to minimize cost and meet application deadlines in cloud workflows," in Proc. of the Int. Conf. for High Performance Computing, Networking, Storage and Analysis (SC). IEEE, 2011, pp. 1-12.
29. M. Mao, J. Li, and M. Humphrey, "Cloud auto-scaling with deadline and budget constraints," in Proc. of the 11th IEEE/ACM International Conference on Grid Computing (GRID). IEEE/ACM, 2010, pp. 41-48.