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Fog-Cloud Based Platform for Utilization of Resources Using Load Balancing Technique

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Book cover Advances in Network-Based Information Systems (NBiS 2018)

Part of the book series: Lecture Notes on Data Engineering and Communications Technologies ((LNDECT,volume 22))

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Abstract

Fog based computing concept is used in smart grid (SG) to reduce the load on the cloud. However, fog covers the small geographical area by storing data temporarily and send furnished data to the cloud for long-term storage. In this paper, a fog and cloud base platform integrated is proposed for the effective management of energy in the smart buildings. A request generated from a cluster of building at demand side end is to be managed by Fog. For this purpose six fogs are considered for three different regions including Europe, Africa an North America. Moreover, each cluster is connected to fog, comprises of the multiple number of buildings. Each cluster contains thirty buildings and these buildings consisted 10 homes with multiple smart appliances. To fulfill the energy demand of consumer, Microgrids (MGs) are used through fog. These MGs are placed nearby the buildings. For effective energy utilization in smart buildings, the load on fog and cloud is managed by load balancing techniques using Virtual Machines (VMs). Different algorithms are used, such as Throttled, Round Robin (RR) and First Fit (FF) for load balancing techniques. These techniques are compared for closest data center service broker policy. This service broker policy is used for best fog selection. Although using the proposed policy, three load balancing algorithms are used to compare the result among them. The results showed that proposed policy outperforms cost wise.

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Author information

Authors and Affiliations

  1. COMSATS University, Islamabad, 44000, Pakistan

    Nouman Ahmad, Nadeem Javaid & Mubashar Mehmood

  2. Institute of Southern Punjab, Multan, 66000, Pakistan

    Mansoor Hayat, Atta Ullah & Haseeb Ahmad Khan

Authors
  1. Nouman Ahmad
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  2. Nadeem Javaid
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  3. Mubashar Mehmood
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  4. Mansoor Hayat
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  5. Atta Ullah
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  6. Haseeb Ahmad Khan
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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. Faculty of Management, Comenius University in Bratislava, Bratislava, Slovakia

    Natalia Kryvinska

  3. Faculty of Business Administration, Rissho University, Tokyo, Japan

    Tomoya Enokido

  4. Department of Advanced Sciences, Hosei University, Tokyo, Japan

    Makoto Takizawa

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Ahmad, N., Javaid, N., Mehmood, M., Hayat, M., Ullah, A., Khan, H.A. (2019). Fog-Cloud Based Platform for Utilization of Resources Using Load Balancing Technique. In: Barolli, L., Kryvinska, N., Enokido, T., Takizawa, M. (eds) Advances in Network-Based Information Systems. NBiS 2018. Lecture Notes on Data Engineering and Communications Technologies, vol 22. Springer, Cham. https://doi.org/10.1007/978-3-319-98530-5_48

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