A New Fuzzy Approach for Dynamic Load Balancing Algorithm

TL;DR

This paper introduces a fuzzy logic-based dynamic load balancing algorithm that effectively handles uncertainty and inconsistency in system state information, resulting in significantly improved response times over traditional methods.

Contribution

The paper presents a novel fuzzy logic approach for dynamic load balancing that outperforms existing algorithms in response time and handles uncertainty better.

Findings

Response time improved by 30.84% over round robin

Response time improved by 45.45% over randomized algorithms

Effective handling of uncertainty and inconsistency in load balancing

Abstract

Load balancing is the process of improving the Performance of a parallel and distributed system through is distribution of load among the processors [1-2]. Most of the previous work in load balancing and distributed decision making in general, do not effectively take into account the uncertainty and inconsistency in state information but in fuzzy logic, we have advantage of using crisps inputs. In this paper, we present a new approach for implementing dynamic load balancing algorithm with fuzzy logic, which can face to uncertainty and inconsistency of previous algorithms, further more our algorithm shows better response time than round robin and randomize algorithm respectively 30.84 percent and 45.45 percent.