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Shortest Job First Load Balancing Algorithm for Efficient Resource Management in Cloud

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Advances on Broadband and Wireless Computing, Communication and Applications (BWCCA 2018)

Part of the book series: Lecture Notes on Data Engineering and Communications Technologies ((LNDECT,volume 25))

Abstract

Energy is among the most valuable resource in the world that need to be consumed in an optimized manner. For making intelligent decisions in energy consumption Smart Grid (SG) is introduced. One of the key components of SG is communication. Cloud-Fog based environment is the most popular communication architecture nowadays. Keeping the focus on this point this article proposed an integration of Cloud-Fog based environment with Micro Grid (MG) for effective resource management. For experimentation, the word is divided into 6 regions based on the division of continents. Each region contains 6 clusters and 3 fogs connected to each of them with MG and centralized cloud. Cloud Analyst simulator is used for testing of our proposed scenario. To cater the huge load on fogs a new load balancing technique Shortest Load First (SLF) is introduced in the simulator. The load balancer technique is used to manage the requests on fogs whereas the dynamic service proximity policy is used for connection of clusters with fogs.

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Author information

Authors and Affiliations

  1. COMSATS University, Islamabad, 44000, Pakistan

    Moomina Waheed, Nadeem Javaid, Aisha Fatima, Tooba Nazar, Komal Tehreem & Kainat Ansar

Authors
  1. Moomina Waheed
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  2. Nadeem Javaid
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  3. Aisha Fatima
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  4. Tooba Nazar
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  5. Komal Tehreem
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  6. Kainat Ansar
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Corresponding author

Correspondence to Nadeem Javaid .

Editor information

Editors and Affiliations

  1. Department of Information and Communication Engineering, Faculty of Information Engineering, Fukuoka Institute of Technology, Fukuoka, Japan

    Leonard Barolli

  2. Tunghai University, Taichung, Taiwan

    Fang-Yie Leu

  3. Rissho University, Tokyo, Japan

    Tomoya Enokido

  4. Asia University, Taichung, Taiwan

    Hsing-Chung Chen

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Waheed, M., Javaid, N., Fatima, A., Nazar, T., Tehreem, K., Ansar, K. (2019). Shortest Job First Load Balancing Algorithm for Efficient Resource Management in Cloud. In: Barolli, L., Leu, FY., Enokido, T., Chen, HC. (eds) Advances on Broadband and Wireless Computing, Communication and Applications. BWCCA 2018. Lecture Notes on Data Engineering and Communications Technologies, vol 25. Springer, Cham. https://doi.org/10.1007/978-3-030-02613-4_5

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  • DOI: https://doi.org/10.1007/978-3-030-02613-4_5

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-02612-7

  • Online ISBN: 978-3-030-02613-4

  • eBook Packages: EngineeringEngineering (R0)

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