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Comparison of Job Scheduling Policies in Cloud Computing

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Future Information Communication Technology and Applications

Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 235))

Abstract

Cloud Computing, as the new computing paradigm, provides cost-effective IT operations. In order to efficiently utilize the tremendous capabilities of the Cloud, efficient virtual machines (VMs) allocation and job scheduling mechanism is required. This paper presents an adaptive job scheduling and VM allocation method with threshold. Several scheduling policies are applied. The aim is to achieve effective resource utilization as well as saving users’ cost. SimPy is used to build the simulation model.

This article is a periodic research result of the project on China-Korea Cooperative Study on Key-frame Matching-based Video Motion Retargeting, granted by Liaoning Natural Foundation, Project Number: 2012216031.

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Author information

Authors and Affiliations

  1. Information Technology College, Eastern Liaoning University, Dandong, 118003, China

    Yang Cao & JianWei Yin

  2. Computer Engineering Department, Silla University, Busan, 617736, Korea

    CheulWoo Ro

Authors
  1. Yang Cao
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  2. CheulWoo Ro
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  3. JianWei Yin
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Corresponding author

Correspondence to CheulWoo Ro .

Editor information

Editors and Affiliations

  1. , Computer Engineering, Paichai University, Baejae-ro, Seo-gu 155-40, Daejeon, 302-735, Korea, Republic of (South Korea)

    Hoe-Kyung Jung

  2. , Electronic Engineering, Mokwon University, Doanbookro, Seo-Ku 88, Daejeon, 302-729, Korea, Republic of (South Korea)

    Jung Tae Kim

  3. PO Box 2434, Electrical Engineering, QUT Gardens Point, George Street 2, Brisbane, 4001, Queensland, Australia

    Tony Sahama

  4. Normal University, Graduate Institute of Information, National Kaohsiung, No.116, Heping 1st Rd., Lingya District, Kaohsiung City, 80201, Kao-hsiung, Taiwan R.O.C.

    Chung-Huang Yang

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Cao, Y., Ro, C., Yin, J. (2013). Comparison of Job Scheduling Policies in Cloud Computing. In: Jung, HK., Kim, J., Sahama, T., Yang, CH. (eds) Future Information Communication Technology and Applications. Lecture Notes in Electrical Engineering, vol 235. Springer, Dordrecht. https://doi.org/10.1007/978-94-007-6516-0_10

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  • DOI: https://doi.org/10.1007/978-94-007-6516-0_10

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  • Publisher Name: Springer, Dordrecht

  • Print ISBN: 978-94-007-6515-3

  • Online ISBN: 978-94-007-6516-0

  • eBook Packages: EngineeringEngineering (R0)

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