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 | |
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/Territory | 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).
Publisher Copyright:
© 2019 IEEE.
All Science Journal Classification (ASJC) codes
- Artificial Intelligence
- Information Systems
- Software