Open AccessAn Power Grid Things of Internet Fog Resource Scheduling Algorithm
Author(s) -
Dao Zhang,
Yuran Liu,
Siyu Lu
Publication year - 2020
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1533/3/032096
Subject(s) - computer science , distributed computing , cloud computing , the internet , scheduling (production processes) , grid , power grid , algorithm , grid computing , smart grid , computer network , power (physics) , mathematical optimization , engineering , operating system , electrical engineering , physics , geometry , mathematics , quantum mechanics
In the wake of developments in computer and internet, power Internet of things technology is becoming more and more mature. As an extension of cloud computing, fog computing provides computing, network, storage and network edge communication for power grid Internet of things. Due to the limitation of its own storage and computing power and the increasing business demand, it is urgent to improve the efficient and feasible resource scheduling scheme. This paper takes the fog resource scheduling in power grid as starting point, proposes a fog resource scheduling algorithm based on time series optimization for the Internet of things in the power grid, and evaluates the proposed algorithm. The results show that the algorithm has strong application value for electricity the development of Internet of things provides the possibility.