A short survey on decision making for task migrations in mobile cloud environments

Weishan Zhang; Shouchao Tan; Klaus Marius Hansen

doi:10.1109/IIKI.2014.20

A short survey on decision making for task migrations in mobile cloud environments

Weishan Zhang, Shouchao Tan, Klaus Marius Hansen

Department of Computer Science

2 Citations (Scopus)

Abstract

Mobile cloud computing (MCC) is a new converged computing paradigm. The central idea of MCC is to use powerful backend computing nodes to enhance capabilities of small devices. An effective approach to realize this is to use task migrations. There are already a number of research efforts to MCC helping to make decisions for task migrations. In this paper, we make a short survey on decision making for task migrations in MCC. From the survey we found that there are still some challenges such as comprehensive context-awareness, migration standards, and large scale experiments and good algorithms are needed to support task migration. The objective of this paper is to highlight these issues and challenges to attract more efforts to these questions.

Original language	English
Title of host publication	2014 International Conference on Identification, Information and Knowledge in the Internet of Things (IIKI)
Number of pages	4
Publisher	IEEE
Publication date	19 Mar 2014
Pages	64-67
ISBN (Electronic)	978-1-4799-8003-1
DOIs	https://doi.org/10.1109/IIKI.2014.20
Publication status	Published - 19 Mar 2014
Event	International Conference on Identification, Information and Knowledge in the Internet of Things - Beijing, China Duration: 17 Oct 2014 → 18 Oct 2014

Conference

Conference	International Conference on Identification, Information and Knowledge in the Internet of Things
Country/Territory	China
City	Beijing
Period	17/10/2014 → 18/10/2014

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10.1109/IIKI.2014.20

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A short survey on decision making for task migrations in mobile cloud environments. / Zhang, Weishan; Tan, Shouchao; Hansen, Klaus Marius.

2014 International Conference on Identification, Information and Knowledge in the Internet of Things (IIKI). IEEE, 2014. p. 64-67.

Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

Zhang, W, Tan, S & Hansen, KM 2014, A short survey on decision making for task migrations in mobile cloud environments. in 2014 International Conference on Identification, Information and Knowledge in the Internet of Things (IIKI). IEEE, pp. 64-67, International Conference on Identification, Information and Knowledge in the Internet of Things, Beijing, China, 17/10/2014. https://doi.org/10.1109/IIKI.2014.20

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abstract = "Mobile cloud computing (MCC) is a new converged computing paradigm. The central idea of MCC is to use powerful backend computing nodes to enhance capabilities of small devices. An effective approach to realize this is to use task migrations. There are already a number of research efforts to MCC helping to make decisions for task migrations. In this paper, we make a short survey on decision making for task migrations in MCC. From the survey we found that there are still some challenges such as comprehensive context-awareness, migration standards, and large scale experiments and good algorithms are needed to support task migration. The objective of this paper is to highlight these issues and challenges to attract more efforts to these questions.",

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DO - 10.1109/IIKI.2014.20

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ER -

A short survey on decision making for task migrations in mobile cloud environments

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