skip to main content
10.1145/2816839.2816846acmotherconferencesArticle/Chapter ViewAbstractPublication PagesiciipConference Proceedingsconference-collections
research-article

Cost Minimization and Load Balancing Issues to Compose Web Services in a Multi Cloud Environment

Authors Info & Claims
Published:23 November 2015Publication History

ABSTRACT

The Web services composition can be defined as a process where component services are identified and the dependencies between them are also described. The reusability of the independent components for different compositions gives flexibility. In a multi cloud environment, we need to find web services from multiple clouds, if a single cloud cannot give us all the component services that we need. In this paper, we focus on load-balancing across the replicas of services placed at different clouds. And since cloud services are payable, we try to minimize the total cost of the composed service.

References

  1. Gutierrez-Garcia, J. O. and Sim, K. M. 2012. Agents-based cloud service composition. The international Journal of Artificial Intelligence, Neural Networks and Complex Problem-solving Technologies. 22, 2 (2012).Google ScholarGoogle Scholar
  2. Bhaskaran, R. and Katz, R. H. 2003. Load Balancing and Stability Issues in Algorithms for Service Composition. IEEE INFOCOM 2003Google ScholarGoogle Scholar
  3. Windows Azure Platform. Microsoft cloud computing platform: http://www.microsoft.com/windowsazure/Google ScholarGoogle Scholar
  4. Amazon S3. Amazon Simple Storage Service cloud computing platform: http://aws.amazon.com/s3Google ScholarGoogle Scholar
  5. Zou G., Chen, Y., Yang, Y., Huang, R., Xu, Y. 2010. AI Planning and Combinatorial Optimization for Web Service Composition in Cloud Computing. In: Proc. International Conference on Cloud Computing and Virtualization, CCV Conference 2010, Singapore, May 17--18, 2010.Google ScholarGoogle ScholarCross RefCross Ref
  6. Hioual, O and Boufaida, Z. 2011. An Agent Based Architecture (Using Planning) for Dynamic and Semantic Web Services Composition in an EBXML Context. International Journal of Database Management Systems (IJDMS). 3, 1 (February. 2011), 110--131.Google ScholarGoogle Scholar
  7. La, H. J. and Kim, S. D. 2010. A conceptual framework for provisioning context-aware mobile cloud services. IEEE 3rd International Conference on Cloud Computing. 466--473. Google ScholarGoogle ScholarDigital LibraryDigital Library
  8. Gutierrez-Garcia, J. O. and Sim, K. M. 2010. Agent-based service composition in cloud computing. In: Kim TH, et al (eds) GDC/CA 2010. CCIS, Springer, Heidelberg. 121 (2010), 1--10.Google ScholarGoogle Scholar
  9. Cardellini, V. and Colajanni, M. 1999. Dynamic Load Balancing on Web-server Systems. IEEE Internet Computing. 3 (1999), 28--39. Google ScholarGoogle ScholarDigital LibraryDigital Library
  10. Behera, I. and Tripathy, C. R. 2014. Performance modelling and analysis of mobile grid computing systems. International Journal of Grid and Utility Computing. 5, 1 (2014), 11--20. Google ScholarGoogle ScholarDigital LibraryDigital Library
  11. Saul, E., Dutot, P. F. and Mounié, G. 2008. Scheduling with Storage Constaints. IEEE International Symposium on. Parallel and Distributed Processing, 2008. IPDPS 2008. Miami, FL, 14-18 April 2008, 1--8.Google ScholarGoogle Scholar

Index Terms

  1. Cost Minimization and Load Balancing Issues to Compose Web Services in a Multi Cloud Environment

      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
        IPAC '15: Proceedings of the International Conference on Intelligent Information Processing, Security and Advanced Communication
        November 2015
        495 pages
        ISBN:9781450334587
        DOI:10.1145/2816839

        Copyright © 2015 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: 23 November 2015

        Permissions

        Request permissions about this article.

        Request Permissions

        Check for updates

        Qualifiers

        • research-article
        • Research
        • Refereed limited

        Acceptance Rates

        Overall Acceptance Rate87of367submissions,24%

      PDF Format

      View or Download as a PDF file.

      PDF

      eReader

      View online with eReader.

      eReader