Wireless-Uplinks-Based Energy-Efficient Scheduling in Mobile Cloud Computing

Mobile cloud computing (MCC) combines cloud computing and mobile internet to improve the computational capabilities of resource-constrained mobile devices (MDs). In MCC, mobile users could not only improve the computational capability of MDs but also save operation consumption by offloading the mobi...

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Bibliographic Details
Published in:Mathematical problems in engineering 2015-01, Vol.2015 (2015), p.1-10
Main Authors: Peng, Enda, Yang, Zhen, Yuan, Chaowei, Liu, Xing
Format: Article
Language:English
Subjects:
Algorithms
Applications programs
Channels
Cloud computing
Communication
Computation
Data transmission
Dynamic programming
Energy consumption
Energy efficiency
Engineering
Mobile commerce
Mobile communication systems
Mobile computing
Performance evaluation
Queues
Queuing theory
Resource scheduling
Scheduling
Uplinking
Wireless networks
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Summary:Mobile cloud computing (MCC) combines cloud computing and mobile internet to improve the computational capabilities of resource-constrained mobile devices (MDs). In MCC, mobile users could not only improve the computational capability of MDs but also save operation consumption by offloading the mobile applications to the cloud. However, MCC faces the problem of energy efficiency because of time-varying channels when the offloading is being executed. In this paper, we address the issue of energy-efficient scheduling for wireless uplink in MCC. By introducing Lyapunov optimization, we first propose a scheduling algorithm that can dynamically choose channel to transmit data based on queue backlog and channel statistics. Then, we show that the proposed scheduling algorithm can make a tradeoff between queue backlog and energy consumption in a channel-aware MCC system. Simulation results show that the proposed scheduling algorithm can reduce the time average energy consumption for offloading compared to the existing algorithm.
ISSN:1024-123X
1563-5147
DOI:10.1155/2015/658216