Paper Info
Title
Data Caching Optimization in the Edge Computing Environment
Abstract
With the rapid increase in the use of mobile devices in people's daily lives, mobile data traffic is exploding in recent years. In the edge computing environment where edge servers are deployed around mobile users, caching popular data on edge servers can ensure mobile users' fast access to those data and reduce the data traffic between mobile users and the centralized cloud. Existing studies consider the data cache problem with a focus on the reduction of network delay and the improvement of mobile devices' energy efficiency. In this paper, we attack the data caching problem in the edge computing environment from the service providers' perspective, who would like to maximize their venues of caching their data. This problem is complicated because data caching produces benefits at a cost and there usually is a trade-off in-between. In this paper, we formulate the data caching problem as an integer programming problem, and maximizes the revenue of the service provider while satisfying a constraint for data access latency. Extensive experiments are conducted on a real-world dataset that contains the locations of edge servers and mobile users, and the results reveal that our approach significantly outperform the baseline approaches.
Year
DOI
Venue
2019
10.1109/ICWS.2019.00027
2019 IEEE International Conference on Web Services (ICWS)
Keywords
Field
DocType
data optimization, edge computing, data popularity, Page-Hinckley-Test (PHT), Integer Problem (IP)
Edge computing,Network delay,Computer science,Server,Computer network,Service provider,Mobile device,Mobile broadband,Data access,Database,Cloud computing
Conference
ISBN
Citations 
PageRank 
978-1-7281-2718-7
8
0.47
References 
Authors
10
6
Name
Order
Citations
PageRank
Ying Liu1133.25
Qiang He221723.35
Dequan Zheng37421.56
Mingwei Zhang4102.52
Feifei Chen529622.56
Bin Zhang6228.26