Abstract
Contemporary Smart Grid (SG) systems are enticed by smart devices and entities due to unfolded developments in both the IT sectors viz. Intelligent Transportation and Information Technology. The intelligent transportation infrastructure elements when bestowed with Internet of Things (IoT) and sensor network of latter IT (Information Technology), makes every object active and brings them online. In such scenario, the traditional cloud deployment perishes to meet the analytics and computational exigencies for such dynamic cum resource-time critical subsystems. 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 objective of this 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, the SG use case is considered and an exemplary FOG Service-Oriented Architecture (SOA) is depicted. Finally, the potential adoption challenges elucidated in the realization of the proposed framework are highlighted along with nascent research domains that call for efforts and investments in successfully guiding the FOG approaches into a pinnacle.
