Title
A Novel Multi-Objective Efficient Offloading Decision Framework in Cloud Computing for Mobile Computing Applications
Abstract
Mobile cloud computing is the emerging paradigm to improve mobile device computation issues using cloud resources. Computation offloading is an efficient way of transferring certain tasks from mobile devices to the cloud. The computationally intensive task of the mobile application executes on the remote cloud. In computational offloading, the decision making plays a vital role to decide whether a task to be offloaded to the cloud or to execute in the local side. The existing research focused either on the offloading part of the cloud side or the context of mobile devices. However, this paper considered both the cloud side and the mobiles side to make the efficient decision offloading decision. This paper proposes a novel multi-objective efficient offloading decision framework for supporting computational offloading based on the mobile applications’ complexity and the context of mobile devices. The main purpose of this framework is to improve the mobile devices, which executes the high computational task that consumes the high battery power and CPU utilization. The proposed framework dynamically explores and decides the optimal cloud by using the enhanced particle swarm optimization algorithm. Moreover, this paper reduces the battery power consumption, virtual machine cost and makespan of the task for providing the quality of services.
Year
DOI
Venue
2019
10.1007/s11277-019-06348-4
Wireless Personal Communications
Keywords
Field
DocType
Computation offloading, Mobile cloud, Complexity-aware, Context-aware, Makespan
Mobile cloud computing,Mobile computing,Virtual machine,Job shop scheduling,Computer science,CPU time,Computer network,Computation offloading,Mobile device,Cloud computing,Distributed computing
Journal
Volume
Issue
ISSN
107
4
0929-6212
Citations 
PageRank 
References 
1
0.34
0
Authors
2
Name
Order
Citations
PageRank
Shanthi Thangam Manukumar110.34
Vijayalakshmi Muthuswamy272.14