A Fuzzy-Based Dynamic Load Decision Making Scheme in Cloud Computing

Abstract

In this paper, a fuzzy-based dynamic resource allocation scheme for load balancing in cloud computing (FDLB) is presented to growth of the service type and user number in the mobile networks of the higher performance is required in service provision and throughput. Besides, the estimation of workload is difficult and time consuming, and the result causes an unstable system and unnecessary message passing overhead. The structure of the FDLB is composed of the design the load distributed agent (LDA). It is observed that the FDLB exhibits better adaptability, robustness, and fault-tolerant capability, thus yielding better performances compared to other existing algorithms.

Design and Implementation of Modified Fuzzy based CPU Scheduling Algorithm

“…Fuzzy based scheduling algorithms implemented in cloud also. C. Yi Chun et al proposed a fuzzy based dynamic load decision making scheme in cloud computing [15].…”