An Improved Load Balancing Method using Fog Computing for IoT Applications

B.Baranidharan, V.Gowri

Fog computing is one of the recent and most promising computing technology to bring cloud computing services nearer to the edge devices in a network. It helps to perform computations locally in a fog virtual server instead of doing it in a distant centralized cloud platform. Too much centralization leads to heavy load at the server which leads to several real-time issues like uneven load balancing, monitoring service provisioning, inefficient fault tolerance mechanisms, traffic overload, etc. Most of the existing systems are mainly focusing on fog computing challenges such as resource utilization, power consumption and response time. Load balancing is still a major issue for the full-scale realization of fog computing in many application domains. It allocates proper workload to all the edge nodes to increase the performance of the network and effectively reduce the data unavailability, due to network traffic occurring at the cloud servers. Hence the proposed system helps to improve the effectiveness of load balancing from the network edge to increase the reliability of the network. The proposed work improves energy conservation by 44.23% at its best than its cloud counterpart.

Volume 12 | 06-Special Issue

Pages: 898-906

DOI: 10.5373/JARDCS/V12SP6/SP20201108