The 1st EAI International Conference on Smart Grid Assisted Internet of Things

Research Article

Viability of Fog Methodologies in IoT aware Smart Grid Architectures

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  • @INPROCEEDINGS{10.4108/eai.7-8-2017.152995,
        author={Md. Muzakkir Hussain and Mohammad Saad Alam and M.M. Sufyan Beg and Mohammad Asaad},
        title={Viability of Fog Methodologies in IoT aware Smart Grid Architectures},
        proceedings={The 1st EAI International Conference on Smart Grid Assisted Internet of Things},
        publisher={EAI},
        proceedings_a={SGIOT},
        year={2017},
        month={8},
        keywords={Smart Grid (SG) Internet of Things (IoT) Fog computing Cloud computing Advanced Metering Infrastructures (AMI) software defined networking (SDN).},
        doi={10.4108/eai.7-8-2017.152995}
    }
    
  • Md. Muzakkir Hussain
    Mohammad Saad Alam
    M.M. Sufyan Beg
    Mohammad Asaad
    Year: 2017
    Viability of Fog Methodologies in IoT aware Smart Grid Architectures
    SGIOT
    EAI
    DOI: 10.4108/eai.7-8-2017.152995
Md. Muzakkir Hussain1,*, Mohammad Saad Alam2, M.M. Sufyan Beg1, Mohammad Asaad2
  • 1: Department of Computer Engineering, ZHCET, AMU
  • 2: Department of Electrical Engineering, ZHCET, AMU
*Contact email: md.muzakkirhussain@zhcet.ac.in

Abstract

Abstract: Contemporary Smart Grid (SG) systems are enticed by smart devices and entities due to unfolded developments in intelligent transportation technologies (ITT). The SG ecosystem, when introduced to Internet of Things (IoT) makes every object active and brings them online. However, the traditional cloud deployments look puerile to meet the analytics and computational exigencies for such dynamic sub-systems. Starting with highlighting the mission critical requirements of an idealized SG infrastructure, this work proposes an edge centered FOG (From cOre to edGe) computing model primarily focused to realize the processing and computational objectives of SG. The motive of the work is to comprehend the applicability of fog computing algorithms to interplay with the core centered cloud computing support, thus enabling to come up with a new breed of real-time and latency free utilities. Further, for demonstrating the feasibility of the proposed framework, a comparative optimization framework is proposed that captures the monetary expenses due to the power consumption, latency and emission issues in both cloud based as well as fog commuting frameworks. Finally, the suitability and viability of fog computing approaches are demonstrated through its comparative results of the metrics with that of traditional data center or cloud computing approach. Results clearly demonstrate the superiority of FOG computing over its cloud counterpart. Keywords: Smart Grid (SG), Internet of Things (IoT), Fog computing, Cloud computing, Advanced Metering Infrastructures (AMI), software defined networking (SDN).