skip to main content
10.1145/2637064.2637092acmotherconferencesArticle/Chapter ViewAbstractPublication PagesiwwissConference Proceedingsconference-collections
research-article

Towards Service Skyline for Multi-granularity Service Composition

Published:01 September 2014Publication History

ABSTRACT

QoS-aware multi-granularity service composition considers fine-grained service instances as candidates for QoS optimization as well as coarse-grained ones. In this paper, we leverage the skyline technology to filter the non-interesting service instances to reduce the search space of optimization. We propose the concepts of cross-granularity dominance and the skyline for a generalized component service. By focusing only on the skyline, the optimal composition can still be obtained and the optimization process at the request time can be largely sped up. How to compute the skyline for a generalized component service is elaborated at last.

References

  1. Strunk, A. QoS-Aware Service Composition: A Survey. In Proceedings of the 2010 Eighth IEEE European Conference on Web Services (ECOWS '10), 2010, pp. 67--74. Google ScholarGoogle ScholarDigital LibraryDigital Library
  2. Zeng, L., Benatallah, B., Ngu, A. H. H., Dumas, M., Kalagnanam, J. and Chang, H. QoS-aware middleware for Web Services Composition. IEEE T Software Eng, 30, 5 2004), 311--327. Google ScholarGoogle ScholarDigital LibraryDigital Library
  3. Wada, H., Champrasert, P., Suzuki, J. and Oba, K. Multiobjective optimization of SLA-aware service composition. In IEEE Congress on Services - Part I, 2008, pp. 368--375. Google ScholarGoogle ScholarDigital LibraryDigital Library
  4. Alrifai, M., Risse, T. and Nejdl, W. A hybrid approach for efficient Web service composition with end-to-end QoS constraints. ACM T Web, 6, 2 2012), 1--22. Google ScholarGoogle ScholarDigital LibraryDigital Library
  5. Klein, A., Ishikawa, F. and Honiden, S. Towards network-aware service composition in the cloud. In Proceedings of the 21st international conference on World Wide Web (WWW), 2012, pp. 959--968. Google ScholarGoogle ScholarDigital LibraryDigital Library
  6. Wu, Q., Zhu, Q. and Jian, X. QoS-aware multi-granularity service composition based on generalized component services. In International Conference on Service-Oriented Computing (ICSOC), 2013, pp. 446--455.Google ScholarGoogle ScholarDigital LibraryDigital Library
  7. Borzsony, S., Kossmann, D. and Stocker, K. The skyline operator. In Proceedings of the 17th International Conference on Data Engineering, 2001, pp. 421--430. Google ScholarGoogle ScholarDigital LibraryDigital Library
  8. Alrifai, M., Skoutas, D. and Risse, T. Selecting skyline services for QoS-based web service composition. In Proceedings of the 19th international conference on World wide web (WWW '10), 2010, pp. 11--20. Google ScholarGoogle ScholarDigital LibraryDigital Library
  9. Yu, Q. and Bouguettaya, A. Efficient service skyline computation for composite service selection. IEEE Transactions on Knowledge and Data Engineering, 25, 4 2013), 776--789. Google ScholarGoogle ScholarDigital LibraryDigital Library
  10. Papadias, D., Tao, Y., Fu, G. and Seeger, B. An optimal and progressive algorithm for skyline queries. In Proceedings of the 2003 ACM SIGMOD international conference on Management of data, 2003, pp. 467--478. Google ScholarGoogle ScholarDigital LibraryDigital Library

Index Terms

  1. Towards Service Skyline for Multi-granularity Service Composition

          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
            IWWISS '14: Proceedings of the 2014 International Workshop on Web Intelligence and Smart Sensing
            September 2014
            109 pages
            ISBN:9781450327473
            DOI:10.1145/2637064

            Copyright © 2014 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: 1 September 2014

            Permissions

            Request permissions about this article.

            Request Permissions

            Check for updates

            Qualifiers

            • research-article
            • Research
            • Refereed limited

            Acceptance Rates

            IWWISS '14 Paper Acceptance Rate12of18submissions,67%Overall Acceptance Rate12of18submissions,67%

          PDF Format

          View or Download as a PDF file.

          PDF

          eReader

          View online with eReader.

          eReader