Skip to main content
Springer Nature Link
Log in

A New Approach for Task Scheduling Optimization in Mobile Cloud Computing

  • Conference paper
  • First Online:
Frontier and Innovation in Future Computing and Communications

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

  • 2277 Accesses

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.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Log in via an institution

Subscribe and save

Springer+ Basic
$34.99 /Month
  • Get 10 units per month
  • Download Article/Chapter or eBook
  • 1 Unit = 1 Article or 1 Chapter
  • Cancel anytime
Subscribe now

Buy Now

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Similar content being viewed by others

References

  1. Google glass, http://www.google.com/glass/

  2. Apple iWatch. http://www.t3.com/news/apple-iwatch-rumours-features-release-date

  3. Vallina-Rodriguez N, Crowcroft J (2012) Energy management techniques in modern mobile handsets. IEEE Commun Surv Tutorials 99:1–20

    Google Scholar 

  4. Huang D (2011) Mobile cloud computing. IEEE COMSOC Multimedia Commun Tech Committee (MMTC) E-Lett 6(10):27–31

    Google Scholar 

  5. Kumar K, Yung-Hsiang L (2010) Cloud computing for mobile users: can offloading computation save energy. IEEE Comput 43(4):51–56

    Article  Google Scholar 

  6. Huerta-Canepa G, Lee D (2010) A virtual cloud computing provider for mobile devices. In: MCS’10, USA

    Google Scholar 

  7. Hung PP, Tuan-Anh B (2013) A solution of thin-thick client collaboration for data distribution and resource allocation in cloud computing. In: 2013 International conference on information networking (ICOIN), pp 238–243

    Google Scholar 

  8. Wolf J (2008) SODA: an optimizing scheduler for large-scale stream-based distributed computer systems. In: International conference on middleware, pp 306–325

    Google Scholar 

  9. Sinnen O, Leonel A (2005) Communication contention in task scheduling. IEEE Trans Parallel Distrib Syst 16(6)

    Google Scholar 

  10. Lee Y-C, Zomaya A (2008) A novel state transition method for metaheuristic-based scheduling in heterogeneous computing systems. IEEE Trans Parallel Distrib Syst 19(9):1215–1223

    Article  Google Scholar 

  11. Van den Bossche R (2011) Cost-efficient scheduling heuristics for deadline constrained workloads on hybrid clouds. In: CloudCom, pp 320–327

    Google Scholar 

  12. Ghanbari S, Othman M (2012) A priority based job scheduling algorithm in cloud computing. ICASCE 50(2012):778–785

    Google Scholar 

Download references

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
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Tuan-Anh Bui
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Eui-Nam Huh
    View author publications

    You can also search for this author in PubMed Google Scholar

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

Rights and permissions

Reprints and permissions

Copyright information

© 2014 Springer Science+Business Media Dordrecht

About this paper

Cite this paper

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

Download citation

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

  • Published:

  • Publisher Name: Springer, Dordrecht

  • Print ISBN: 978-94-017-8797-0

  • Online ISBN: 978-94-017-8798-7

  • eBook Packages: EngineeringEngineering (R0)

Publish with us

Policies and ethics