SLA-based optimisation of virtualised resource for multi-tier web applications in cloud data centres

Enterprise Information Systems

Volumn 9, Issue 7, 2015, Pages 743-767

  Bi, Jing ^a   Yuan, Haitao ^b   Tie, Ming ^c   Tan, Wei ^d  

^a TSINGHUA UNIVERSITY   (China)

^b CITY UNIVERSITY OF HONG KONG   (Hong Kong)

^c Beijing Institute of Near Space Vehicle s System Engineering   (China)

^d IBM T J WATSON RESEARCH CENTER   (United States)

Author keywords

cloud data centre; dynamic resource allocation; multi tier web application; performance optimisation; service level agreement (SLA); virtualisation

Indexed keywords

CONSTRAINED OPTIMIZATION; MEMORY ARCHITECTURE; QUALITY OF SERVICE; QUEUEING THEORY; RESOURCE ALLOCATION; VIRTUALIZATION; WEB SERVICES;

CLOUD DATA; DYNAMIC RESOURCE ALLOCATIONS; PERFORMANCE OPTIMISATION; SERVICE LEVEL AGREEMENTS; VIRTUALISATION; WEB APPLICATION;

INFORMATION MANAGEMENT;

EID: 84929129746     PISSN: 17517575     EISSN: 17517583     Source Type: Journal    
DOI: 10.1080/17517575.2013.830342     Document Type: Article

References (35)

1. Amza, C., A. Chanda, A. L. Cox, S. Elnikety, R. Gil, K. Rajamani, W. Zwaenepoel, E. Cecchet, and J. Marguerite. 2002. “Specification and Implementation of Dynamic Web Site Benchmarks.” In Proceeding of 2002 IEEE International Workshop on Workload Characterization, 3–13. Piscataway, NJ: Institute of Electrical and Electronics Engineers Computer Society.
2. Arlitt, M., and T. Jin. 2000. “A workload Characterization Study of the 1998 World Cup Web Site.” Network, NJ: Institute of Electrical and Electronics Engineers Computer Society 14 (3): 30–37.
3. Bottomley, L. 2004. “Epa-http Single www Server Trace.” Accessed April 18, 2012. http://ita.ee.lbl.gov/html/contrib/EPA-HTTP.html
4. Burachik, R., L. M. Graña Drummond, A. N. Iusem, and B. F. Svaiter. 1995. “Full Convergence of the Steepest Descent Method with Inexact Line Searches.” Optimization 32 (2): 137–146.
5. Cain, H. W., R. Rajwar, M. Marden, and M. H. Lipasti. 2001. “An Architectural Evaluation of Java TPC-W.” In Proceedings of the Seventh International Symposium on High-Performance Computer Architecture, 229–240. Piscataway, NJ: Institute of Electrical and Electronics Engineers Computer Society.
6. Cao, J., W. Zhang, and W. Tan. 2012. “Dynamic Control of Data Streaming and Processing in a Virtualized Environment.” IEEE Transactions on Automation Science and Engineering 9 (2): 365–376.
7. Cardellini, V., E. Casalicchio, F. L. Presti, and L. Silvestri. 2011. “SLA-Aware Resource Management for Application Service Providers in the Cloud.” In Proceedings of the 1st International Symposium on Network Cloud Computing and Applications, 20–27. Piscataway, NJ: Institute of Electrical and Electronics Engineers Computer Society.
8. Glover, F., G. A. Kochenberger, and B. Alidaee. 1998. “Adaptive Memory Tabu Search for Binary Quadratic Programs.” Management Science 44 (3): 336–345.
9. Goudarzi, H., and M. Pedram. 2011. “Multi-Dimensional SLA-Based Resource Allocation for Multi-Tier Cloud Computing Systems.” In Proceedings of the 2011 IEEE International Conference on Network Cloud Computing, 324–331. Piscataway, NJ: Institute of Electrical and Electronics Engineers Computer Society.
10. Hayes, B. 2008. “Cloud Computing.” Communications of the ACM 51 (7): 9–11.
11. He, W., and L. D. Xu. 2013. “Integration of Distributed Enterprise Applications: A Survey.” IEEE Transactions on Industrial Informatics. doi:10.1109/TII.2012.2189221.
12. Hernández-Suárez, C. M., and C. Castillo-Chavez. 1999. “A Basic Result on the Integral for BirthCdeath Markov Processes.” Mathematical Biosciences 161 (2): 95–104.
13. Iosup, A., S. Ostermann, M. N. Yigitbasi, R. Prodan, T. Fahringer, and D. H. J. Epema. 2011. “Performance Analysis of Cloud Computing Services for Many-Tasks Scientific Computing.” IEEE Transactions on Parallel and Distributed Systems 22 (6): 931–945.
14. Iqbal, W., M. Dailey, and D. Carrera. 2009. “SLA-Driven Adaptive Resource Management for Web Applications on a Heterogeneous Compute Cloud.” In Proceedings of the 1st International Conference on Cloud Computing, LNCS 5931, 243–253. Berlin: Springer.
15. Kalyvianaki, E., T. Charalambous, and S. Hand. 2009. “Self-adaptive and Self-Configured CPU Resource Provisioning for Virtualized Servers Using Kalman Filters.” In Proceedings of the 6th International Conference on Autonomic Computing, 117–126. New York: ACM Press.
16. Kephart, J. O., and D. M. Chess. 2003. “The Vision of Autonomic Computing.” Computer 36 (1): 41–50.
17. Kusic, D., J. O. Kephart, J. E. Hanson, N. Kandasamy, and G. Jiang. 2008. “Power and Performance Management of Virtualized Computing Environments Via Lookahead Control.” In Proceedings of the 5th International Conference on Autonomic Computing, 3–12. Piscataway, NJ: Institute of Electrical and Electronics Engineers Computer Society.
18. Lama, P., and X. Zhou. 2012. “NINEPIN: Non-Invasive and Energy Efficient Performance Isolation in Virtualized Servers.” In Proceedings of the 2012 42nd Annual IEEE/IFIP International Conference on Dependable Systems and Networks, 1–12. Piscataway, NJ: Institute of Electrical and Electronics Engineers Computer Society.
19. Li, Q., Z. Wang, W. Li, J. Li, C. Wang, and R. Du. 2013. “Applications Integration in a Hybrid Cloud Computing Environment: Modelling and Platform.” Enterprise Information Systems 7 (3): 237–271.
20. Li, S., L. D. Xu, and X. Wang. 2013. “Compressed Sensing Signal and Data Acquisition in Wireless Sensor Networks and Internet of Things.” IEEE Transactions on Industrial Informatics. doi:10.1109/TII.2012.2189222.
21. Liu, L., H. Wang, X. Liu, X. Jin, W. B. He, Q. B. Wang, and Y. Chen. 2009. “GreenCloud: A New Architecture for Green Data Center.” In Proceedings of the 6th International Conference Industry Session on Autonomic Computing and Communications Industry Session, 29–38. Piscataway, NJ: Institute of Electrical and Electronics Engineers Computer Society.
22. McKenna, J. 1988. “A Generalization of Little’s Law to Moments of Queue Lengths and Waiting Times in Closed, Product form Queueing Networks.” Analysis and Optimization of Systems 111: 1000–1011.
23. Menasce, D. A., and M. N. Bennani. 2006. “Autonomic Virtualized Environments.” In Proceedings of the 2006 International Conference on Autonomic and Autonomous Systems, 28–28. Piscataway, NJ: Institute of Electrical and Electronics Engineers Computer Society.
24. Meyer, P. A., R. T. Smythe, and J. B. Walsh. 1972. “Birth and death of Markov Processes.” In Proceedings of the 6th Berkeley Symposium on Mathematical Statistis and Probability, Vol. 3, 295–305. Berkeley: University of California Press.
25. Reed, D., I. Pratt, P. Menage, S. Early, and N. Stratford. 1999. “Xenoservers: Accountable Execution of Untrusted Programs.” In Proceedings of the Seventh Workshop on Hot Topics in Operating Systems, 136–141. Piscataway, NJ: Institute of Electrical and Electronics Engineers Computer Society.
26. Slegers, J., I. Mitrani, and N. Thomas. 2009. “Static and Dynamic Server Allocation in Systems with On/Off Sources.” Annals of Operations Research 170 (1): 251–263.
27. Urgaonkar, B., G. Pacificiy, P. Shenoy, M. Spreitzery, and A. Tantawiy. 2005. “An Analytical Model for Multi-Tier Internet Services and Its Applications.” In Proceedings of the 2005 ACM SIGMETRICS International Conference on Measurement and Modeling of Computer Systems, 291–302. New York: ACM Press.
28. Verma, A., P. Ahuja, and A. Neogi. 2008. “pMapper: Power and Migration Cost Aware Application Placement in Virtualized Systems.” In Proceedings of the 9th ACM/IFIP/USENIX International Conference on Middleware, 243–264. Piscataway, NJ: Institute of Electrical and Electronics Engineers Computer Society.
29. White, S. R., J. E. Hanson, I. Whalley, D. M. Chess, and J. O. Kephart. 2004. “An Architectural Approach to Autonomic Computing.” In Proceeding of 1st International Conference on Autonomic Computing, 2–9. Piscataway, NJ: Institute of Electrical and Electronics Engineers Computer Society.
30. Woeginger, G.J. 2003. “Exact Algorithms for NP-Hard Problems: A Survey.” In Combinatorial Optimization, Lecture Notes in Computer Science, LNCS 2570, 185–207. Berlin: Springer.
31. Wu, L., S. Garg, and R. Buyya. 2011. “SLA-Based Resource Allocation for Software as a Service Provider (SaaS) in Cloud Computing Environments.” In Proceedings of the 11th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing, 195–204. Piscataway, NJ: Institute of Electrical and Electronics Engineers Computer Society.
32. Yarmolenko, V., and R. Sakellariou. 2006. “An evaluation of Heuristics for SLA Based Parallel Job Scheduling.” In Proceeding of 20th International Conference on Parallel and Distributed Processing Symposium, 8–15. Piscataway, NJ: Institute of Electrical and Electronics Engineers Computer Society.
33. Zhang, A., P. Santos, D. Beyer, and H. K. Tang. 2002. “Optimal Server Resource Allocation using an Open Queueing Network Model of Response Time.” In HP Laboratories Technical Report, 2002. Palo Alto, CA: HP Laboratories.
34. Zhu, X., D. Young, B. J. Watson, Z. Wang, J. Rolia, S. Singhal, and B. McKee, et al. 2009. “1000 Islands: An Integrated Approach to Resource Management for Virtualized Data Centers.” Cluster Computing 12 (1): 45–57.
35. Zuo, X., G. Zhang, and W. Tan. 2013. “Self-Adaptive Learning PSO-Based Deadline Constrained Task Scheduling for Hybrid IaaS Cloud.” IEEE Transactions on Automation Science and Engineering. doi:10.1109/TASE.2013.2272758.