An Integrated and Optimized Fog Computing enabled Framework to minimize Time Complexity in Smart Grids
- Title
- An Integrated and Optimized Fog Computing enabled Framework to minimize Time Complexity in Smart Grids
- Creator
- Nag R.; Samantraj A.S.; Mishra S.; Sharma V.
- Description
- A distributed computing paradigm known as 'cloud computing'works as a connection between IoT devices and cloud data centres. The environment system model in this work is on basis of clouds and fog and includes smart grids, which we explore. Prior to understanding the use of fog computing in smart grids we discuss about various features of cloud computing and talk about how to manage the connection between fog and cloud computing. Along with the usual performance of low latency, low cost, and high intelligence, the distinctive characteristics and service scenarios are also explored. Based on the outcome of the simulation, it appears that our suggested PSO-SA algorithm outperforms other optimization algorithms. It recorded a least mean response time of 3.86 seconds only. While the model build up delay was 4.6 seconds, the model execution delay was also found to be only 4.9 seconds with PSO-SA method. The improved efficiency of the technique can be credited to the best aspects of particle swarm optimisation (PSO) and a modified inertia weight obtained by simulated annealing. 2023 IEEE.
- Source
- Proceedings of International Conference on Contemporary Computing and Informatics, IC3I 2023, pp. 455-459.
- Date
- 2023-01-01
- Publisher
- Institute of Electrical and Electronics Engineers Inc.
- Subject
- Cloud Computing; Edge Computing; Fog Computing; Smart Grid
- Coverage
- Nag R., School of Computer Engineering, Kalinga Institute of Industrial Technology, Bhubaneswar, India; Samantraj A.S., School of Computer Engineering, Kalinga Institute of Industrial Technology, Bhubaneswar, India; Mishra S., School of Computer Engineering, Kalinga Institute of Industrial Technology, Bhubaneswar, India; Sharma V., CHRIST (Deemed to Be University), Computer Science Department, Delhi NCR, India
- Rights
- Restricted Access
- Relation
- ISBN: 979-835030448-0
- Format
- Online
- Language
- English
- Type
- Conference paper
Collection
Citation
Nag R.; Samantraj A.S.; Mishra S.; Sharma V., “An Integrated and Optimized Fog Computing enabled Framework to minimize Time Complexity in Smart Grids,” CHRIST (Deemed To Be University) Institutional Repository, accessed February 24, 2025, https://archives.christuniversity.in/items/show/19736.