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

Jung Woong Sung; Seung Jae Han; Jin Woo Kim

doi:10.1109/CLOUD.2019.00087

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

Jung Woong Sung, Seung Jae Han, Jin Woo Kim

Department of Computer Science

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

1 Citation (Scopus)

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 language	English
Title of host publication	Proceedings - 2019 IEEE International Conference on Cloud Computing, CLOUD 2019 - Part of the 2019 IEEE World Congress on Services
Editors	Elisa Bertino, Carl K. Chang, Peter Chen, Ernesto Damiani, Michael Goul, Katsunori Oyama
Publisher	IEEE Computer Society
Pages	490-492
Number of pages	3
ISBN (Electronic)	9781728127057
DOIs	https://doi.org/10.1109/CLOUD.2019.00087
Publication status	Published - 2019 Jul
Event	12th IEEE International Conference on Cloud Computing, CLOUD 2019 - Milan, Italy Duration: 2019 Jul 8 → 2019 Jul 13

Publication series

Name	IEEE International Conference on Cloud Computing, CLOUD
Volume	2019-July
ISSN (Print)	2159-6182
ISSN (Electronic)	2159-6190

Conference

Conference	12th IEEE International Conference on Cloud Computing, CLOUD 2019
Country	Italy
City	Milan
Period	19/7/8 → 19/7/13

Bibliographical note

Funding Information:
ACKNOWLEDGEMENT This work was supported by the National Research Foundation of Korea (NRF) grant funded by the Korea government (MSIP) (No. NRF2016R1A2B4014505).

All Science Journal Classification (ASJC) codes

Artificial Intelligence
Information Systems
Software

Access to Document

10.1109/CLOUD.2019.00087

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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

Sung, Jung Woong ; Han, Seung Jae ; Kim, Jin Woo. / Virtual machine pre-provisioning for computation offloading service in edge cloud. Proceedings - 2019 IEEE International Conference on Cloud Computing, CLOUD 2019 - Part of the 2019 IEEE World Congress on Services. editor / Elisa Bertino ; Carl K. Chang ; Peter Chen ; Ernesto Damiani ; Michael Goul ; Katsunori Oyama. IEEE Computer Society, 2019. pp. 490-492 (IEEE International Conference on Cloud Computing, CLOUD).

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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.",

author = "Sung, {Jung Woong} and Han, {Seung Jae} and Kim, {Jin Woo}",

note = "Funding Information: ACKNOWLEDGEMENT This work was supported by the National Research Foundation of Korea (NRF) grant funded by the Korea government (MSIP) (No. NRF2016R1A2B4014505).; 12th IEEE International Conference on Cloud Computing, CLOUD 2019 ; Conference date: 08-07-2019 Through 13-07-2019",

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Sung, JW, Han, SJ & Kim, JW 2019, Virtual machine pre-provisioning for computation offloading service in edge cloud. in E Bertino, CK 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., 8814545, IEEE International Conference on Cloud Computing, CLOUD, vol. 2019-July, IEEE Computer Society, pp. 490-492, 12th IEEE International Conference on Cloud Computing, CLOUD 2019, Milan, Italy, 19/7/8. https://doi.org/10.1109/CLOUD.2019.00087

Virtual machine pre-provisioning for computation offloading service in edge cloud. / Sung, Jung Woong; Han, Seung Jae; Kim, Jin Woo.

Proceedings - 2019 IEEE International Conference on Cloud Computing, CLOUD 2019 - Part of the 2019 IEEE World Congress on Services. ed. / Elisa Bertino; Carl K. Chang; Peter Chen; Ernesto Damiani; Michael Goul; Katsunori Oyama. IEEE Computer Society, 2019. p. 490-492 8814545 (IEEE International Conference on Cloud Computing, CLOUD; Vol. 2019-July).

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

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AB - 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.

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Sung JW, Han SJ, Kim JW. Virtual machine pre-provisioning for computation offloading service in edge cloud. In Bertino E, Chang CK, Chen P, Damiani E, Goul M, Oyama K, editors, Proceedings - 2019 IEEE International Conference on Cloud Computing, CLOUD 2019 - Part of the 2019 IEEE World Congress on Services. IEEE Computer Society. 2019. p. 490-492. 8814545. (IEEE International Conference on Cloud Computing, CLOUD). https://doi.org/10.1109/CLOUD.2019.00087