Title
On the throughput-energy tradeoff for data transmission between cloud and mobile devices
Abstract
Mobile cloud computing has recently emerged as a new computing paradigm promising to improve the capabilities of resource-constrained mobile devices. As the data processing and storage are moved from mobile devices to powerful cloud platforms, data transmission has become an important issue affecting user experiences of mobile applications. One of the challenges is how to optimize the tradeoff between system throughput and energy consumption, which are potentially conflicting objectives. Inspired by the feasibility of transmission scheduling for prefetching-friendly or delay-tolerant applications, we mathematically formulate this problem as a stochastic optimization problem, and design an online control algorithm to balance such an energy-performance tradeoff based on the Lyapunov optimization framework. Our algorithm is able to independently and simultaneously make control decisions on admission and transmission to maximize a joint utility of the average application throughput and energy cost, without requiring any statistical information of traffic arrivals and link bandwidth. Rigorous analysis and extensive simulations have demonstrated both the system stability and the utility optimality achieved by our control algorithm.
Year
DOI
Venue
2014
10.1016/j.ins.2014.06.022
Information Sciences: an International Journal
Keywords
Field
DocType
queue stability,dynamic scheduling,mobile cloud computing,lyapunov optimization,throughput-energy tradeoff
Mobile cloud computing,Data transmission,Computer science,Real-time computing,Lyapunov optimization,Mobile device,Throughput,Dynamic priority scheduling,Energy consumption,Cloud computing,Distributed computing
Journal
Volume
Issue
ISSN
283
1
0020-0255
Citations 
PageRank 
References 
21
0.75
39
Authors
6
Name
Order
Citations
PageRank
Weiwei Fang124717.51
Yangchun Li2210.75
Huijing Zhang3211.42
Naixue Xiong42413194.61
Junyu Lai5211.76
Athanasios V. Vasilakos612735523.55