Virtual machine pre-provisioning for computation offloading service in edge cloud

Jung Woong Sung, Seung Jae Han, Jin Woo Kim

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

Abstract

Virtual machine(VM)-based computation offloading suffers from long delay for VM provisioning. Existing researches are not suitable for edge computing since they are designed for resource rich cloud servers. In this paper, we reduce the delay by pre-provisioning and cloning them later. We collect a large-scale measurement trace of global users and combine them with the existing Google cloud trace. Extensive evaluation indicates that the proposed scheme outperforms the existing schemes in edge nodes.

Original languageEnglish
Title of host publicationProceedings - 2019 IEEE International Conference on Cloud Computing, CLOUD 2019 - Part of the 2019 IEEE World Congress on Services
EditorsElisa Bertino, Carl K. Chang, Peter Chen, Ernesto Damiani, Michael Goul, Katsunori Oyama
PublisherIEEE Computer Society
Pages490-492
Number of pages3
ISBN (Electronic)9781728127057
DOIs
Publication statusPublished - 2019 Jul
Event12th IEEE International Conference on Cloud Computing, CLOUD 2019 - Milan, Italy
Duration: 2019 Jul 82019 Jul 13

Publication series

NameIEEE International Conference on Cloud Computing, CLOUD
Volume2019-July
ISSN (Print)2159-6182
ISSN (Electronic)2159-6190

Conference

Conference12th IEEE International Conference on Cloud Computing, CLOUD 2019
CountryItaly
CityMilan
Period19/7/819/7/13

All Science Journal Classification (ASJC) codes

  • Artificial Intelligence
  • Information Systems
  • Software

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  • Cite this

    Sung, J. W., Han, S. J., & Kim, J. W. (2019). Virtual machine pre-provisioning for computation offloading service in edge cloud. In E. Bertino, C. K. Chang, P. Chen, E. Damiani, M. Goul, & K. Oyama (Eds.), Proceedings - 2019 IEEE International Conference on Cloud Computing, CLOUD 2019 - Part of the 2019 IEEE World Congress on Services (pp. 490-492). [8814545] (IEEE International Conference on Cloud Computing, CLOUD; Vol. 2019-July). IEEE Computer Society. https://doi.org/10.1109/CLOUD.2019.00087