Welcome to the InfoSci Platform
Reference Hub3
Future Directions to the Application of Distributed Fog Computing in Smart Grid Systems

Future Directions to the Application of Distributed Fog Computing in Smart Grid Systems

Arash Anzalchi, Aditya Sundararajan, Longfei Wei, Amir Moghadasi, Arif Sarwat
Copyright: © 2018 |Pages: 34
ISBN13: 9781522539964|ISBN10: 1522539964|EISBN13: 9781522539971
DOI: 10.4018/978-1-5225-3996-4.ch006
Cite Chapter Cite Chapter

MLA

Anzalchi, Arash, et al. "Future Directions to the Application of Distributed Fog Computing in Smart Grid Systems." Smart Grid Analytics for Sustainability and Urbanization, edited by Zbigniew H. Gontar, IGI Global, 2018, pp. 162-195. https://doi.org/10.4018/978-1-5225-3996-4.ch006

APA

Anzalchi, A., Sundararajan, A., Wei, L., Moghadasi, A., & Sarwat, A. (2018). Future Directions to the Application of Distributed Fog Computing in Smart Grid Systems. In Z. Gontar (Ed.), Smart Grid Analytics for Sustainability and Urbanization (pp. 162-195). IGI Global. https://doi.org/10.4018/978-1-5225-3996-4.ch006

Chicago

Anzalchi, Arash, et al. "Future Directions to the Application of Distributed Fog Computing in Smart Grid Systems." In Smart Grid Analytics for Sustainability and Urbanization, edited by Zbigniew H. Gontar, 162-195. Hershey, PA: IGI Global, 2018. https://doi.org/10.4018/978-1-5225-3996-4.ch006

Export Reference

Mendeley
Favorite

Abstract

The rapid growth of new technologies in power systems requires real-time monitoring and control of bidirectional data communication and electric power flow. Cloud computing has centralized architecture and is not scalable towards the emerging internet of things (IoT) landscape of the grid. Further, under large-scale integration of renewables, this framework could be bogged down by congestion, latency, and subsequently poor quality of service (QoS). This calls for a distributed architecture called fog computing, which imbibes both clouds as well as the end-devices to collect, process, and act upon the data locally at the edge for low latency applications prior to forwarding them to the cloud for more complex operations. Fog computing offers high performance and interoperability, better scalability and visibility, and greater availability in comparison to a grid relying only on the cloud. In this chapter, a prospective research roadmap, future challenges, and opportunities to apply fog computing on smart grid systems is presented.

Request Access

You do not own this content. Please login to recommend this title to your institution's librarian or purchase it from the IGI Global bookstore.