Paper Info
Title
Multi-Objective Decision-Making for Mobile Cloud Offloading: A Survey.
Abstract
Running very complex applications on mobile devices is still challenging since they are constrained by limited resources, such as memory capacity, network bandwidth, processor speed, and battery power. Mobile Cloud Computing (MCC) is a combination of cloud computing and mobile internet, which could effectively alleviate the resource constraints of mobile devices. How to efficiently offload computation-intensive parts of mobile applications from mobile devices to capable cloud servers is one of the keys. In mobile environments, the resource heterogeneity of mobile devices and cloud services, the interruption of heterogeneous wireless networks, the complexity of mobile applications, and the characteristic of transferring a large amount of data, are the major bottlenecks that have prevented this technology from being widely used. This paper takes these constraints into an account at the same time and explores methods of multi-objective decision making for time- and energy-aware task offloading for MCC. It is designed to ensure the right computational tasks are executed in the right way, at the right time and place.
Year
DOI
Venue
2018
10.1109/ACCESS.2018.2791504
IEEE ACCESS
Keywords
Field
DocType
Mobile cloud computing,mobile edge computing,offloading,decision-making,energy-efficient
Mobile computing,Mobile cloud computing,Wireless network,Computer science,Computer network,Mobile device,Bandwidth (signal processing),Mobile telephony,Clock rate,Cloud computing,Distributed computing
Journal
Volume
ISSN
Citations 
6
2169-3536
5
PageRank 
References 
Authors
0.38
0
1
Name
Order
Citations
PageRank
Huaming Wu18114.49