A survey on decision making for task migration in mobile cloud environments.

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Bibliographic Details
Title:	A survey on decision making for task migration in mobile cloud environments.
Authors:	Zhang, Weishan¹ zhangws@upc.edu.cn, Tan, Shouchao¹ tansc.upc@foxmail.com, Xia, Feng f.xia@ieee.org, Chen, Xiufeng² chenxiufeng@hisense.com, Li, Zhongwei¹ lizhongwei@upc.edu.cn, Lu, Qinghua¹ dr.qinghua.lu@gmail.com, Yang, Su³ suyang@fudan.edu.cn
Source:	Personal & Ubiquitous Computing. Jun2016, Vol. 20 Issue 3, p295-309. 15p.
Subjects:	Decision making, Systems migration, Mobile computing, Algorithms, Artificial intelligence
Abstract:	The key idea of MCC is using powerful back-end computing nodes to enhance capabilities of small mobile devices and provide better user experiences. An effective and widely used approach to realize this is task migrations. Decision making is an important aspect of migrations which affects the feasibility and effectiveness of task migrations. There have been a number of research efforts to MCC which help make decisions for task migrations. In this paper, we present a comprehensive survey on decision making for task migrations in MCC, including decision factors and algorithms. We observe that there are still some challenges such as comprehensive context awareness, unified migration standards, large-scale experiments, more involvement of latest achievements from artificial intelligence, and flexible decision-making mechanisms. The paper highlights these issues and challenges to attract more efforts to work on MCC. [ABSTRACT FROM AUTHOR]
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Database:	Engineering Source

Description
Abstract:	The key idea of MCC is using powerful back-end computing nodes to enhance capabilities of small mobile devices and provide better user experiences. An effective and widely used approach to realize this is task migrations. Decision making is an important aspect of migrations which affects the feasibility and effectiveness of task migrations. There have been a number of research efforts to MCC which help make decisions for task migrations. In this paper, we present a comprehensive survey on decision making for task migrations in MCC, including decision factors and algorithms. We observe that there are still some challenges such as comprehensive context awareness, unified migration standards, large-scale experiments, more involvement of latest achievements from artificial intelligence, and flexible decision-making mechanisms. The paper highlights these issues and challenges to attract more efforts to work on MCC. [ABSTRACT FROM AUTHOR]
ISSN:	16174909
DOI:	10.1007/s00779-016-0915-y