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A New Approach for Task Scheduling Optimization in Mobile Cloud Computing

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Frontier and Innovation in Future Computing and Communications

Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 301))

Abstract

Mobile cloud computing is growing rapidly because its device (i.e., smart phone) is becoming one of the main processing devices for users nowadays. However, there are still some negative impacts that affect cloud access, especially when access to cloud becomes expensive but recent studies are not yet efficient in eliminating these. In this paper, we present an effective task scheduling by collaborating thick–thin clients and cloud to guarantee a better accessibility to cloud network and boost up the processing time in the mobile cloud platform while considering the network bandwidth and cost for cloud service usage. Intensive simulation proves that our method can improve the task scheduling efficiency and is better cost-effective than other works.

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Acknowledgments

This research was supported by the MSIP (Ministry of Science, ICT&Future Planning), Korea, under the ITRC (Information Technology Research Center) support program (NIPA-2013-H0301-13-4006) supervised by the NIPA (National IT Industry Promotion Agency). The corresponding author is Eui-Nam Huh.

Author information

Authors and Affiliations

  1. Department of Computer Engineering, Kyung Hee University, Yongin-si, South Korea

    Pham Phuoc Hung & Eui-Nam Huh

  2. Louvain School of Engineering, Catholic University of Louvain, Louvain-la-Neuve, Belgium

    Tuan-Anh Bui

Authors
  1. Pham Phuoc Hung
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  2. Tuan-Anh Bui
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  3. Eui-Nam Huh
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Corresponding author

Correspondence to Eui-Nam Huh .

Editor information

Editors and Affiliations

  1. Department of Computer Science and Engineering, Seoul University of Science & and Technology (SeoulTech), Seoul, Korea, Republic of (South Korea)

    James J. (Jong Hyuk) Park

  2. School of Information Technologies, University of Sydney, Sydney, New South Wales, Australia

    Albert Zomaya

  3. Humanitas College, Kyung Hee University, Seoul, Korea, Republic of (South Korea)

    Hwa-Young Jeong

  4. Computer Science & Software Engineering, Monmouth University, W. Long Branch, New Jersey, USA

    Mohammad Obaidat

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Hung, P.P., Bui, TA., Huh, EN. (2014). A New Approach for Task Scheduling Optimization in Mobile Cloud Computing. In: Park, J., Zomaya, A., Jeong, HY., Obaidat, M. (eds) Frontier and Innovation in Future Computing and Communications. Lecture Notes in Electrical Engineering, vol 301. Springer, Dordrecht. https://doi.org/10.1007/978-94-017-8798-7_26

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  • DOI: https://doi.org/10.1007/978-94-017-8798-7_26

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  • Publisher Name: Springer, Dordrecht

  • Print ISBN: 978-94-017-8797-0

  • Online ISBN: 978-94-017-8798-7

  • eBook Packages: EngineeringEngineering (R0)

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