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An Efficient Framework for Improved Task Offloading in Edge Computing

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Intelligent, Secure, and Dependable Systems in Distributed and Cloud Environments (ISDDC 2018)

Part of the book series: Lecture Notes in Computer Science ((LNPSE,volume 11317))

Abstract

In cloud environment the efficient techniques to balance the load are needed to equally distribute the load between available data centers to save some of the nodes from getting over loaded while others getting lightly loaded or free. The loads in cloud data centers should be mapped on to available resources in such a way that energy utilization in edge computing should be optimized. With the use of load balancing, utilization of resources can be optimized which can significantly decrease energy consumption and can even reduce carbon release along with cooling necessities in cloud data centers. In this paper, a novel game theoretic approach has been proposed to improve the throughput of the edge computing. Also, an effort is made to reduce the energy consumed during the offloading in the edge computing. Extensive analysis shows that the performance of proposed technique consumes lesser energy and provide faster response to edge users.

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Notes

  1. 1.

    A system manager may keep a share of the total received revenue and split the rest among servers. We assume that a system manager’s own revenue share is negligible compared with the rest of the revenue given to servers.

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Author information

Authors and Affiliations

  1. Department of Computer Science and Engineering, Chandigarh University, Mohali, India

    Amanjot Kaur

  2. Department of Computer Science, Shahzadanand College, Maqbool road, Amritsar, 143001, India

    Ramandeep Kaur

Authors
  1. Amanjot Kaur
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  2. Ramandeep Kaur
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Corresponding authors

Correspondence to Amanjot Kaur or Ramandeep Kaur .

Editor information

Editors and Affiliations

  1. University of Victoria, Victoria, BC, Canada

    Issa Traore

  2. Ryerson University, Toronto, ON, Canada

    Isaac Woungang

  3. University of Windsor, Windsor, ON, Canada

    Sherif Saad Ahmed

  4. Concordia University of Edmonton, Edmonton, AB, Canada

    Yasir Malik

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Kaur, A., Kaur, R. (2018). An Efficient Framework for Improved Task Offloading in Edge Computing. In: Traore, I., Woungang, I., Ahmed, S., Malik, Y. (eds) Intelligent, Secure, and Dependable Systems in Distributed and Cloud Environments. ISDDC 2018. Lecture Notes in Computer Science(), vol 11317. Springer, Cham. https://doi.org/10.1007/978-3-030-03712-3_8

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  • DOI: https://doi.org/10.1007/978-3-030-03712-3_8

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-03711-6

  • Online ISBN: 978-3-030-03712-3

  • eBook Packages: Computer ScienceComputer Science (R0)

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