skip to main content
10.1145/1754288.1754304acmotherconferencesArticle/Chapter ViewAbstractPublication PagescomputeConference Proceedingsconference-collections
research-article

Performance evaluation of web servers using central load balancing policy over virtual machines on cloud

Authors Info & Claims
Published:22 January 2010Publication History

ABSTRACT

Cloud Computing adds more power to the existing Internet technologies. Virtualization harnesses the power of the existing infrastructure and resources. With virtualization we can simultaneously run multiple instances of different commodity operating systems. Since we have limited processors and jobs work in concurrent fashion, overload situations can occur. Things become even more challenging in distributed environment. We propose Central Load Balancing Policy for Virtual Machines (CLBVM) to balance the load evenly in a distributed virtual machine/cloud computing environment. This work tries to compare the performance of web servers based on our CLBVM policy and independent virtual machine(VM) running on a single physical server using Xen Virtualizaion. The paper discusses the efficacy and feasibility of using this kind of policy for overall performance improvement.

References

  1. Vmware infrastructure: Resource management with wmware drs. Tech. rep., VMWare, 2006.Google ScholarGoogle Scholar
  2. Buyya, R., Yeo, C. S., Venugopal, S., Broberg, J., and Brandic, I. Cloud computing and emerging it platforms: Vision, hype, and reality for delivering computing as the 5th utility. Future Gener. Comput. Syst. 25, 6 (2009), 599--616. Google ScholarGoogle ScholarDigital LibraryDigital Library
  3. Clark, C., Fraser, K., Hand, S., Hansen, J. G., Jul, E., Limpach, C., Pratt, I., and Warfield, A. Live migration of virtual machines. In Proceedings of the 2nd conference on Symposium on Networked Systems Design & Implementation (2005), pp. 273--286. Google ScholarGoogle ScholarDigital LibraryDigital Library
  4. Eager, D. L., Lazowska, E. D., and Zahorjan, J. Adaptive load sharing in homogeneous distributed systems. IEEE Trans. Softw. Eng. 12, 5 (1986), 662--675. Google ScholarGoogle ScholarDigital LibraryDigital Library
  5. Gupta, D., Gardner, R., and Cherkasova, L. Xenmon: Qos monitoring and performance profiling tool. Tech. Rep. HPL-2005-187, HP Labs, 2005.Google ScholarGoogle Scholar
  6. Hac, A., and Johnson, T. A study of dynamic load balancing in a distributed system. SIGCOMM Comput. Commun. Rev. 16, 3 (1986), 348--356. Google ScholarGoogle ScholarDigital LibraryDigital Library
  7. Hansen, J. G., and Jul, E. Self-migration of operating systems. In Proceedings of the 11th workshop on ACM SIGOPS European workshop (2004), p. 23. Google ScholarGoogle ScholarDigital LibraryDigital Library
  8. Korupolu, M., Singh, A., and Bamba, B. Coupled placement in modern data centers. In IEEE International Symposium on Parallel & Distributed Processing (2009), pp. 1--12. Google ScholarGoogle ScholarDigital LibraryDigital Library
  9. Kunz, T. The influence of different workload descriptions on a heuristic load balancing scheme. IEEE Transactions on Software Engineering 17, 7 (1991), 725--730. Google ScholarGoogle ScholarDigital LibraryDigital Library
  10. Lin, H.-C., and Raghavendra, C. S. A dynamic load-balancing policy with a central job dispatcher (lbc). IEEE Trans. Softw. Eng. 18, 2 (1992), 148--158. Google ScholarGoogle ScholarDigital LibraryDigital Library
  11. Mosberger, D., and Jin, T. httperf: A tool for measuring web server performance, 1998.Google ScholarGoogle Scholar
  12. Ni, L., Xu, C.-W., and Gendreau, T. A distributed drafting algorithm for load balancing. IEEE Transactions on Software Engineering SE-11, 10 (1985), 1153--1161. Google ScholarGoogle ScholarDigital LibraryDigital Library
  13. Park, J.-G., Kim, J.-M., Choi, H., and Woo, Y.-C. Virtual machine migration in self-managing virtualized server environments. In 11th International Conference on Advanced Communication Technology (2009), vol. 03, pp. 2077--2083. Google ScholarGoogle ScholarDigital LibraryDigital Library
  14. Singh, A., Korupolu, M., and Bamba, B. Integrated resource allocation in heterogeneous san data centers. In Proceedings of the twenty-sixth annual ACM symposium on Principles of distributed computing (2007), pp. 328--329. Google ScholarGoogle ScholarDigital LibraryDigital Library
  15. Wood, T., Shenoy, P., and Arun. Black-box and gray-box strategies for virtual machine migration. In 4th USENIX Symposium on Networked Systems Design & Implementation (2007), pp. 229--242. Google ScholarGoogle ScholarDigital LibraryDigital Library
  16. Zhou, S. A trace-driven simulation study of dynamic load balancing. IEEE Trans. Softw. Eng. 14, 9 (1988), 1327--1341. Google ScholarGoogle ScholarDigital LibraryDigital Library
  1. Performance evaluation of web servers using central load balancing policy over virtual machines on cloud

          Recommendations

          Comments

          Login options

          Check if you have access through your login credentials or your institution to get full access on this article.

          Sign in
          • Published in

            cover image ACM Other conferences
            COMPUTE '10: Proceedings of the Third Annual ACM Bangalore Conference
            January 2010
            171 pages
            ISBN:9781450300018
            DOI:10.1145/1754288

            Copyright © 2010 ACM

            Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

            Publisher

            Association for Computing Machinery

            New York, NY, United States

            Publication History

            • Published: 22 January 2010

            Permissions

            Request permissions about this article.

            Request Permissions

            Check for updates

            Qualifiers

            • research-article

            Acceptance Rates

            Overall Acceptance Rate114of622submissions,18%

          PDF Format

          View or Download as a PDF file.

          PDF

          eReader

          View online with eReader.

          eReader