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Hill Climbing Load Balancing Algorithm on Fog Computing

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Advances on P2P, Parallel, Grid, Cloud and Internet Computing (3PGCIC 2018)

Part of the book series: Lecture Notes on Data Engineering and Communications Technologies ((LNDECT,volume 24))

Abstract

Cloud Computing (CC) concept is an emerging field of technology. It provides shared resources through its own Data Centers (DC’s), Virtual Machines (VM’s) and servers. People now shift their data on cloud for permanent storage and online easily approachable. Fog is the extended version of cloud. It gives more features than cloud and it is a temporary storage, easily accessible and secure for consumers. Smart Grid (SG) is the way which fulfills the demand of electricity of consumers according to their requirements. Micro Grid (MG) is a part of SG. So there is a need to balance load of requests on fog using VM’s. Response Time (RT), Processing Time (PT) and delay are three main factors which, discussed in this paper with Hill Climbing Load Balancing (HCLB) technique with Optimize best RT service broker policy.

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Author information

Authors and Affiliations

  1. COMSATS University, Islamabad, 44000, Pakistan

    Maheen Zahid, Nadeem Javaid, Kainat Ansar, Kanza Hassan & Muhammad KaleemUllah Khan

  2. Buitems Quetta, Quetta, Pakistan

    Mohammad Waqas

Authors
  1. Maheen Zahid
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  2. Nadeem Javaid
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  3. Kainat Ansar
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  4. Kanza Hassan
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  5. Muhammad KaleemUllah Khan
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  6. Mohammad Waqas
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Corresponding author

Correspondence to Nadeem Javaid .

Editor information

Editors and Affiliations

  1. Dept De Ciències De La Computació, Universitat Politècnica De Catalunya, Barcelona, Spain

    Fatos Xhafa

  2. Tunghai University, Taichung, Taiwan

    Fang-Yie Leu

  3. Università Della Campania Luigi Vanvitelli, Caserta, Italy

    Massimo Ficco

  4. Tunghai University, Taichung, Taiwan

    Chao-Tung Yang

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Zahid, M., Javaid, N., Ansar, K., Hassan, K., KaleemUllah Khan, M., Waqas, M. (2019). Hill Climbing Load Balancing Algorithm on Fog Computing. In: Xhafa, F., Leu, FY., Ficco, M., Yang, CT. (eds) Advances on P2P, Parallel, Grid, Cloud and Internet Computing. 3PGCIC 2018. Lecture Notes on Data Engineering and Communications Technologies, vol 24. Springer, Cham. https://doi.org/10.1007/978-3-030-02607-3_22

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  • DOI: https://doi.org/10.1007/978-3-030-02607-3_22

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-02606-6

  • Online ISBN: 978-3-030-02607-3

  • eBook Packages: EngineeringEngineering (R0)

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