Research Article
Service Migration Based on Replaying
@INPROCEEDINGS{10.1007/978-3-030-90196-7_46, author={Hexin Zheng and Di Lin and Yu Tang and Yuan Gao and Jiang Cao}, title={Service Migration Based on Replaying}, proceedings={Artificial Intelligence for Communications and Networks. Third EAI International Conference, AICON 2021, Xining, China, October 23--24, 2021, Proceedings, Part I}, proceedings_a={AICON}, year={2021}, month={11}, keywords={MEC Service migration Iterative migration}, doi={10.1007/978-3-030-90196-7_46} }- Hexin Zheng
Di Lin
Yu Tang
Yuan Gao
Jiang Cao
Year: 2021
Service Migration Based on Replaying
AICON
Springer
DOI: 10.1007/978-3-030-90196-7_46
Abstract
With the rapid development of the Internet, more and more data are transmitted on the Internet, and the demand for computing power of end users is also increasing. At the same time, the response delay of the service is becoming more and more sensitive. The traditional data center faces This situation has become increasingly inadequate. Mobile Edge Computing (MEC) has hope to solve this problem. By deploying computing resources to the edge of the network, MEC shortens the distance from users geographically, can handle user requests nearby, improves the speed of service impact, and avoids long network transmissions. A key issue of MEC is to ensure that users always provide services through the geographically closest edge node to ensure service quality. This paper proposes a new idea to migrate user services, by reducing the amount of data transmission in the process of service migration, so as to complete the service migration as quickly as possible.
