Mobile cloud with smart offloading system

Wei Tsung Su; Kiat Siong Ng

doi:10.1109/ICCChina.2013.6671198

Mobile cloud with smart offloading system

Wei Tsung Su
, Kiat Siong Ng

Department of Computer Science and Information Engineering

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

10 Citations (Scopus)

Abstract

Computation offloading is a hot topic to minimizing the energy consumption in cloud-assisted mobile computing. However, the assumption is that the mobile devices must have network connectivity to cloud. In this paper, we propose an adaptive computation offloading system, called mobile cloud with smart offloading system (MCSOS), which allows that the resource-poor mobile devices could offload its computation to nearby devices which have idle resources. Because there are different computation-offloading scenarios, the total energy consumption is influenced by factors, such as the energy-efficiency of computation and communication of these devices and the transmission distances among these devices. Therefore, the MCSOS is proposed to solve the optimization problem with objective of minimizing the total energy consumption under such ad hoc computation offloading. According to the simulation results, it shows that the MCSOS could improve the energy efficiency from 7% to 61% in different simulation cases.

Original language	English
Title of host publication	2013 IEEE/CIC International Conference on Communications in China, ICCC 2013
Pages	680-685
Number of pages	6
DOIs	https://doi.org/10.1109/ICCChina.2013.6671198
Publication status	Published - 2013
Event	2013 IEEE/CIC International Conference on Communications in China, ICCC 2013 - Xi'an, China Duration: 2013 Aug 12 → 2013 Aug 14

Publication series

Name	2013 IEEE/CIC International Conference on Communications in China, ICCC 2013

Conference

Conference	2013 IEEE/CIC International Conference on Communications in China, ICCC 2013
Country/Territory	China
City	Xi'an
Period	13-08-12 → 13-08-14

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 7 Affordable and Clean Energy

All Science Journal Classification (ASJC) codes

Computer Networks and Communications

Access to Document

10.1109/ICCChina.2013.6671198

Cite this

@inproceedings{c43e6f8bbfef4b63b1970ee6a4bb4025,

title = "Mobile cloud with smart offloading system",

abstract = "Computation offloading is a hot topic to minimizing the energy consumption in cloud-assisted mobile computing. However, the assumption is that the mobile devices must have network connectivity to cloud. In this paper, we propose an adaptive computation offloading system, called mobile cloud with smart offloading system (MCSOS), which allows that the resource-poor mobile devices could offload its computation to nearby devices which have idle resources. Because there are different computation-offloading scenarios, the total energy consumption is influenced by factors, such as the energy-efficiency of computation and communication of these devices and the transmission distances among these devices. Therefore, the MCSOS is proposed to solve the optimization problem with objective of minimizing the total energy consumption under such ad hoc computation offloading. According to the simulation results, it shows that the MCSOS could improve the energy efficiency from 7\% to 61\% in different simulation cases.",

author = "Su, \{Wei Tsung\} and Ng, \{Kiat Siong\}",

year = "2013",

doi = "10.1109/ICCChina.2013.6671198",

language = "English",

isbn = "9781479910335",

series = "2013 IEEE/CIC International Conference on Communications in China, ICCC 2013",

pages = "680--685",

booktitle = "2013 IEEE/CIC International Conference on Communications in China, ICCC 2013",

note = "2013 IEEE/CIC International Conference on Communications in China, ICCC 2013 ; Conference date: 12-08-2013 Through 14-08-2013",

}

Su, WT & Ng, KS 2013, Mobile cloud with smart offloading system. in 2013 IEEE/CIC International Conference on Communications in China, ICCC 2013., 6671198, 2013 IEEE/CIC International Conference on Communications in China, ICCC 2013, pp. 680-685, 2013 IEEE/CIC International Conference on Communications in China, ICCC 2013, Xi'an, China, 13-08-12. https://doi.org/10.1109/ICCChina.2013.6671198

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T1 - Mobile cloud with smart offloading system

AU - Su, Wei Tsung

AU - Ng, Kiat Siong

PY - 2013

Y1 - 2013

N2 - Computation offloading is a hot topic to minimizing the energy consumption in cloud-assisted mobile computing. However, the assumption is that the mobile devices must have network connectivity to cloud. In this paper, we propose an adaptive computation offloading system, called mobile cloud with smart offloading system (MCSOS), which allows that the resource-poor mobile devices could offload its computation to nearby devices which have idle resources. Because there are different computation-offloading scenarios, the total energy consumption is influenced by factors, such as the energy-efficiency of computation and communication of these devices and the transmission distances among these devices. Therefore, the MCSOS is proposed to solve the optimization problem with objective of minimizing the total energy consumption under such ad hoc computation offloading. According to the simulation results, it shows that the MCSOS could improve the energy efficiency from 7% to 61% in different simulation cases.

AB - Computation offloading is a hot topic to minimizing the energy consumption in cloud-assisted mobile computing. However, the assumption is that the mobile devices must have network connectivity to cloud. In this paper, we propose an adaptive computation offloading system, called mobile cloud with smart offloading system (MCSOS), which allows that the resource-poor mobile devices could offload its computation to nearby devices which have idle resources. Because there are different computation-offloading scenarios, the total energy consumption is influenced by factors, such as the energy-efficiency of computation and communication of these devices and the transmission distances among these devices. Therefore, the MCSOS is proposed to solve the optimization problem with objective of minimizing the total energy consumption under such ad hoc computation offloading. According to the simulation results, it shows that the MCSOS could improve the energy efficiency from 7% to 61% in different simulation cases.

UR - https://www.scopus.com/pages/publications/84893208646

UR - https://www.scopus.com/pages/publications/84893208646#tab=citedBy

U2 - 10.1109/ICCChina.2013.6671198

DO - 10.1109/ICCChina.2013.6671198

M3 - Conference contribution

AN - SCOPUS:84893208646

SN - 9781479910335

T3 - 2013 IEEE/CIC International Conference on Communications in China, ICCC 2013

SP - 680

EP - 685

BT - 2013 IEEE/CIC International Conference on Communications in China, ICCC 2013

T2 - 2013 IEEE/CIC International Conference on Communications in China, ICCC 2013

Y2 - 12 August 2013 through 14 August 2013

ER -

Mobile cloud with smart offloading system

Abstract

Publication series

Conference

UN SDGs

All Science Journal Classification (ASJC) codes

Access to Document

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