Paper Info
Title
Response time optimization for cloudlets in Mobile Edge Computing.
Abstract
Mobile Edge computing (MEC) and caching are new forms of computing architecture which brings network functions to the network edge or physical proximity of the users. In MEC, the mobile cloudlets are smart phones which offer computational services to other smart phones available in the physical proximity. Selection of the device for offloading computationally intensive tasks is a very important criterion for end-users Quality of Service. This work focuses on optimal selection of devices which receives offloaded computational tasks. This paper presents a non-cooperative extensive game model where players maximize their pay-offs which leads to minimization of response time. Further, we make our proposed model to implicitly depend upon the battery life of the computational task receivers. The game model achieves Nash Equilibrium by using backward induction technique. This work also takes care of the device availability by clustering the previous availability data. Finally, we evaluate the performance of the proposed model upon response time, end-users utility and memory utilizations. We also see that the proposed work out performs the different schemes which we used for comparisons.
Year
DOI
Venue
2018
10.1016/j.jpdc.2018.04.004
Journal of Parallel and Distributed Computing
Keywords
Field
DocType
Mobile Edge Computing,Mobile cloudlets,Load balancing,Extensive game model
Computer science,Response time,Quality of service,Mobile edge computing,Edge device,Minification,Cluster analysis,Nash equilibrium,Backward induction,Distributed computing
Journal
Volume
ISSN
Citations 
119
0743-7315
8
PageRank 
References 
Authors
0.52
11
5
Name
Order
Citations
PageRank
Mayank Tiwary1298.76
Deepak Puthal225133.94
Kshira Sagar Sahoo3131.71
Bibhudatta Sahoo49126.57
Laurence T. Yang56870682.61