MAMoC: Multisite Adaptive offloading framework for Mobile Cloud applications

Dawand Jalil Sulaiman; Adam David Barker

doi:10.1109/CloudCom.2017.34

MAMoC: Multisite Adaptive offloading framework for Mobile Cloud applications

Dawand Jalil Sulaiman, Adam David Barker

School of Computer Science

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Abstract

This paper presents MAMoC, a framework which brings together a diverse range of infrastructure types including mobile devices, cloudlets, and remote cloud resources under one unified API. MAMoC allows mobile applications to leverage the power of multiple offloading destinations. MAMoC's intelligent offloading decision engine adapts to the contextual changes in this heterogeneous environment, in order to reduce the overall runtime for both single-site and multi-site offloading scenarios. MAMoC is evaluated through a set of offloading experiments, which evaluate the performance of our offloading decision engine. The results show that offloading computation using our framework can reduce the overall task completion time for both single-site and multi-site offloading scenarios.

Original language	English
Title of host publication	Proceedings 9th IEEE International Conference on Cloud Computing Technology and Science (CloudCom 2017)
Publisher	IEEE
Pages	17-24
Number of pages	8
ISBN (Electronic)	9781538606926
DOIs	https://doi.org/10.1109/CloudCom.2017.34
Publication status	Published - 11 Dec 2017
Event	9th IEEE International Conference on Cloud Computing Technology and Science - The Hong Kong Polytechnic University, Hong Kong, China Duration: 11 Dec 2017 → 14 Dec 2017 Conference number: 9 http://2017.cloudcom.org

Conference

Conference	9th IEEE International Conference on Cloud Computing Technology and Science
Abbreviated title	CloudCom 2017
Country/Territory	China
City	Hong Kong
Period	11/12/17 → 14/12/17
Internet address	http://2017.cloudcom.org

Keywords

Mobile Clouds
Task offloading
Multisite offloading

Access to Document

10.1109/CloudCom.2017.34

Multisite-Adaptive-Mobile-Cloud
© 2017, IEEE. This work has been made available online in accordance with the publisher’s policies. This is the author created, accepted version manuscript following peer review and may differ slightly from the final published version. The final published version of this work is available at https://doi.org/10.1109/CloudCom.2017.34
Accepted author manuscript, 1.1 MB

Cite this

@inproceedings{1685b7749b4144a6bbaf3ae940b512af,

title = "MAMoC: Multisite Adaptive offloading framework for Mobile Cloud applications",

abstract = "This paper presents MAMoC, a framework which brings together a diverse range of infrastructure types including mobile devices, cloudlets, and remote cloud resources under one unified API. MAMoC allows mobile applications to leverage the power of multiple offloading destinations. MAMoC's intelligent offloading decision engine adapts to the contextual changes in this heterogeneous environment, in order to reduce the overall runtime for both single-site and multi-site offloading scenarios. MAMoC is evaluated through a set of offloading experiments, which evaluate the performance of our offloading decision engine. The results show that offloading computation using our framework can reduce the overall task completion time for both single-site and multi-site offloading scenarios.",

keywords = "Mobile Clouds, Task offloading, Multisite offloading",

author = "Sulaiman, {Dawand Jalil} and Barker, {Adam David}",

year = "2017",

month = dec,

day = "11",

doi = "10.1109/CloudCom.2017.34",

language = "English",

pages = "17--24",

booktitle = "Proceedings 9th IEEE International Conference on Cloud Computing Technology and Science (CloudCom 2017)",

publisher = "IEEE",

note = "9th IEEE International Conference on Cloud Computing Technology and Science, CloudCom 2017 ; Conference date: 11-12-2017 Through 14-12-2017",

url = "http://2017.cloudcom.org",

}

Sulaiman, DJ & Barker, AD 2017, MAMoC: Multisite Adaptive offloading framework for Mobile Cloud applications. in Proceedings 9th IEEE International Conference on Cloud Computing Technology and Science (CloudCom 2017)., 8241086, IEEE, pp. 17-24, 9th IEEE International Conference on Cloud Computing Technology and Science, Hong Kong, China, 11/12/17. https://doi.org/10.1109/CloudCom.2017.34

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AU - Sulaiman, Dawand Jalil

AU - Barker, Adam David

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PY - 2017/12/11

Y1 - 2017/12/11

N2 - This paper presents MAMoC, a framework which brings together a diverse range of infrastructure types including mobile devices, cloudlets, and remote cloud resources under one unified API. MAMoC allows mobile applications to leverage the power of multiple offloading destinations. MAMoC's intelligent offloading decision engine adapts to the contextual changes in this heterogeneous environment, in order to reduce the overall runtime for both single-site and multi-site offloading scenarios. MAMoC is evaluated through a set of offloading experiments, which evaluate the performance of our offloading decision engine. The results show that offloading computation using our framework can reduce the overall task completion time for both single-site and multi-site offloading scenarios.

AB - This paper presents MAMoC, a framework which brings together a diverse range of infrastructure types including mobile devices, cloudlets, and remote cloud resources under one unified API. MAMoC allows mobile applications to leverage the power of multiple offloading destinations. MAMoC's intelligent offloading decision engine adapts to the contextual changes in this heterogeneous environment, in order to reduce the overall runtime for both single-site and multi-site offloading scenarios. MAMoC is evaluated through a set of offloading experiments, which evaluate the performance of our offloading decision engine. The results show that offloading computation using our framework can reduce the overall task completion time for both single-site and multi-site offloading scenarios.

KW - Mobile Clouds

KW - Task offloading

KW - Multisite offloading

U2 - 10.1109/CloudCom.2017.34

DO - 10.1109/CloudCom.2017.34

M3 - Conference contribution

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BT - Proceedings 9th IEEE International Conference on Cloud Computing Technology and Science (CloudCom 2017)

PB - IEEE

T2 - 9th IEEE International Conference on Cloud Computing Technology and Science

Y2 - 11 December 2017 through 14 December 2017

ER -

MAMoC: Multisite Adaptive offloading framework for Mobile Cloud applications

Abstract

Conference

Keywords

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