Resource Optimization In The Fog Computing Using Fcap Algorithm

S.Radhika Poorna, T.Pavan Kumar, M.Srinivas, D.BabuRao

Cloud computing is a big storing server for storing large scale data through the internet. In legacy dates, we are using local servers but had a lot of security, software, and hardware issues. After that, the cloud has been introduced to store data securely. At present also cloud servicing for users satisfaction. But coming to IoT handling data to store information into the cloud. But some of the latency problems are facing with the existing methodologies. So introduced fog computing, we can call it a bridge between cloud storage systems. By using fog computing we can locate nearby users like IoT. It can serve data to IoT with the help of edge nodes. Edge nodes act as a distributed system to find the needed resources for users indeed. So for better performance, location awareness and resource optimization and to give low latency based on priority’s fog computing introduced. In our proposed system we introduced a FCA with a particle swarm optimization algorithm to locate the location awareness, optimization for users needed.

Volume 12 | Issue 2

Pages: 1140-1146

DOI: 10.5373/JARDCS/V12I2/S20201146