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Graph-based optimal data caching in edge computing
conference contribution
posted on 2019-01-01, 00:00 authored by Xiaoyu Xia, Feifei ChenFeifei Chen, Q He, G Cui, P Lai, Mohamed AbdelrazekMohamed Abdelrazek, John Grundy, H JinIn an edge computing environment, edge servers are deployed at base stations to offer highly accessible computing capacities and services to nearby users. Data caching is thus extremely important in edge computing environments to reduce service latency. The optimal data caching strategy in the edge computing environment will minimize the data caching cost while maximizing the reduction in service latency. In this paper, we formulate this edge data caching (EDC) problem as a constrained optimization problem (COP), prove that the EDC problem is NP -complete, propose an optimal approach named IPEDC to solve the EDC problem using the Integer Programming technique, and provide a heuristic algorithm named LGEDC to find near-optimal solutions. We have evaluated our approaches on a real-world data set and a synthesized data set. The results demonstrate that IPEDC and LGEDC significantly outperform two representative baseline approaches.
History
Event
Service-Oriented Computing. International Conference (17th : 2019 : Toulouse, France)Volume
11895Series
Lecture notes in computer sciencePagination
477 - 493Publisher
SpringerLocation
Toulouse, FrancePlace of publication
Cham, SwitzerlandPublisher DOI
Start date
2019-10-28End date
2019-10-31ISSN
0302-9743eISSN
1611-3349ISBN-13
9783030337018ISBN-10
3030337022Language
engPublication classification
E1 Full written paper - refereedEditor/Contributor(s)
S Yangui, I Bouassida Rodriguez, K Drira, Z TariTitle of proceedings
ICSOC 2019 : Proceedings of the 17th Service-Oriented Computing International ConferenceUsage metrics
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