A Scheduling Algorithm for Increasing the Quality of the Distributed Systems by using Genetic Algorithm

Abstract

Abstract-This article will present a scheduling algorithm for increasing the quality of the distributed system by using genetic algorithm. The proposed algorithm OQSG is more efficient in comparison with the previous algorithms. This proposed algorithm can be reliable like the other algorithms, regarding the effective parameters used for the available scheduling. OQSG algorithm can create more efficient parameters by using the priority function that is more reliable by using the scheduling the most used works. The proposed algorithm can use the least possible time in comparison with the previous algorithm, using new techniques in the purpose function. This condition helps us to use the effective parameters, which increase the system efficiency, after several assessment used in the heterogeneous purpose function. The proposed algorithm can have the optimum selection in processing and allocating the resources, considering maximum and minimum scheduling of works. This work is fulfilled when we decrease the complexity of time. Finally, we could create the efficiency of distributed systems with high quality according to different simulation results.

Genetic Algorithms for Optimizing Grouping of Students Classmates in Engineering Education

“…Charles Darwin identified genetic algorithms as one of the effective algorithms for addressing optimization and search challenges based on a given function [47][48][49][50][51]. This algorithm operates by generating a population of potential solutions (individuals) and iteratively evolving them across generations to discover improved solutions.…”