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Review: Cloud Task Scheduling and Load Balancing

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Proceeding of the International Conference on Computer Networks, Big Data and IoT (ICCBI - 2018) (ICCBI 2018)

Part of the book series: Lecture Notes on Data Engineering and Communications Technologies ((LNDECT,volume 31))

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Abstract

Load Balancing is fundamental for effective activities in conveyed conditions. As Cloud Computing is developing quickly with customers be requesting extra services and superior outcomes, load balancing in favor of the Cloud have turned into an extremely intriguing and imperative research region. Numerous schemes were proposed to give proficient components and schemes to allotting the customer’s solicitations to accessible Cloud hubs. These methodologies plan to get better concert of the Cloud as well as offer the client all the extra gratifying and effectual tunes. In this article, we explore the diverse schemes planned to determine the concern of load balancing and task scheduling within Cloud Computing. We talk about with contrast these schemes with give a review of the most recent methodologies in the meadow.

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Authors and Affiliations

  1. School of Computing, Sathyabama Institute of Science and Technology, Chennai, Tamilnadu, India

    N. Manikandan & A. Pravin

Authors
  1. N. Manikandan
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  2. A. Pravin
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Correspondence to N. Manikandan .

Editor information

Editors and Affiliations

  1. Department of CSE, Vaigai College of Engineering, Melur, India

    A. Pasumpon Pandian

  2. Department of Engineering, University of the Ryukyus, Okinawa, Japan

    Tomonobu Senjyu

  3. Edith Cowan University (ECU), Joondalup, WA, Australia

    Syed Mohammed Shamsul Islam

  4. Department of Electrical and Computer Engineering, Cornell University, Ithaca, NY, USA

    Haoxiang Wang

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Manikandan, N., Pravin, A. (2020). Review: Cloud Task Scheduling and Load Balancing. In: Pandian, A.P., Senjyu, T., Islam, S.M.S., Wang, H. (eds) Proceeding of the International Conference on Computer Networks, Big Data and IoT (ICCBI - 2018). ICCBI 2018. Lecture Notes on Data Engineering and Communications Technologies, vol 31. Springer, Cham. https://doi.org/10.1007/978-3-030-24643-3_63

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  • DOI: https://doi.org/10.1007/978-3-030-24643-3_63

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-24642-6

  • Online ISBN: 978-3-030-24643-3

  • eBook Packages: EngineeringEngineering (R0)

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