Service selection for composition in Mobile Edge Computing systems

Hongyue Wu, Shuiguang Deng, Wei Li, Min Fu, Jianwei Yin, Albert Y. Zomaya

Research output: Chapter in Book/Report/Conference proceedingConference proceeding contribution

9 Citations (Scopus)

Abstract

Due to the limited capabilities and resources, edge servers cannot meet the increasingly complex and diverse service requirements in mobile edge computing environments. In this circumstance, how to dispatch the component tasks of service requests to edge and cloud servers to reduce the time delay has become a crucial problem. Therefore, we focus on this problem and propose a heuristic algorithm called GAMEC (combined Genetic algorithm and simulated Annealing algorithm for service selection in Mobile Edge Computing systems). The simulated experiments have demonstrated the high effectiveness of the method.

Original languageEnglish
Title of host publicationProceedings - 2018 IEEE International Conference on Web Services, ICWS 2018 - Part of the 2018 IEEE World Congress on Services
Place of PublicationPiscataway, NJ
PublisherInstitute of Electrical and Electronics Engineers (IEEE)
Pages355-358
Number of pages4
ISBN (Electronic)9781538672471
ISBN (Print)9781538672488
DOIs
Publication statusPublished - 5 Sep 2018
Event25th IEEE International Conference on Web Services, ICWS 2018 - San Francisco, United States
Duration: 2 Jul 20187 Jul 2018

Conference

Conference25th IEEE International Conference on Web Services, ICWS 2018
CountryUnited States
CitySan Francisco
Period2/07/187/07/18

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Keywords

  • Composition
  • Mobile edge computing
  • Response time
  • Service selection

Cite this

Wu, H., Deng, S., Li, W., Fu, M., Yin, J., & Zomaya, A. Y. (2018). Service selection for composition in Mobile Edge Computing systems. In Proceedings - 2018 IEEE International Conference on Web Services, ICWS 2018 - Part of the 2018 IEEE World Congress on Services (pp. 355-358). [8456377] Piscataway, NJ: Institute of Electrical and Electronics Engineers (IEEE). https://doi.org/10.1109/ICWS.2018.00060