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A Workflow Scheduling Technique to Consider Task Processing Rate in Spot Instance-Based Cloud

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Book cover Frontier and Innovation in Future Computing and Communications

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

Abstract

Cloud computing is a computing paradigm in which users can rent computing resources from service providers according to their requirements. A spot instance in cloud computing helps a user to obtain resources at a lower cost, but it may be unreliable. In this paper, we propose a workflow scheduling scheme to consider task processing rate. This scheme reduces the task waiting time and the rollback time when an out-of-bid situation occurs in an instance.

This work was supported by the National Research Foundation of Korea (NRF) grant funded by the Korea government (MEST) (No. 2013056346).

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Author information

Authors and Affiliations

  1. Department of Computer Science Education, Korea University, Seoul, Korea

    Daeyong Jung, JongBeom Lim & Heonchang Yu

Authors
  1. Daeyong Jung
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  2. JongBeom Lim
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  3. Heonchang Yu
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Corresponding author

Correspondence to Heonchang Yu .

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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© 2014 Springer Science+Business Media Dordrecht

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Jung, D., Lim, J., Yu, H. (2014). A Workflow Scheduling Technique to Consider Task Processing Rate in Spot Instance-Based Cloud. 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_59

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  • DOI: https://doi.org/10.1007/978-94-017-8798-7_59

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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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