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

Datalogisk Institut

2 Citationer (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.

Originalsprog	Engelsk
Titel	2014 International Conference on Identification, Information and Knowledge in the Internet of Things (IIKI)
Antal sider	4
Forlag	IEEE
Publikationsdato	19 mar. 2014
Sider	64-67
ISBN (Elektronisk)	978-1-4799-8003-1
DOI	https://doi.org/10.1109/IIKI.2014.20
Status	Udgivet - 19 mar. 2014
Begivenhed	International Conference on Identification, Information and Knowledge in the Internet of Things - Beijing, Kina Varighed: 17 okt. 2014 → 18 okt. 2014

Konference

Konference	International Conference on Identification, Information and Knowledge in the Internet of Things
Land/Område	Kina
By	Beijing
Periode	17/10/2014 → 18/10/2014

Adgang til dokumentet

10.1109/IIKI.2014.20

Citationsformater

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. s. 64-67.

Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › peer review

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

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title = "A short survey on decision making for task migrations in mobile cloud environments",

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.",

author = "Weishan Zhang and Shouchao Tan and Hansen, {Klaus Marius}",

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AU - Tan, Shouchao

AU - Hansen, Klaus Marius

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N2 - 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.

AB - 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.

U2 - 10.1109/IIKI.2014.20

DO - 10.1109/IIKI.2014.20

M3 - Article in proceedings

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EP - 67

BT - 2014 International Conference on Identification, Information and Knowledge in the Internet of Things (IIKI)

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T2 - International Conference on Identification, Information and Knowledge in the Internet of Things

Y2 - 17 October 2014 through 18 October 2014

ER -

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

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