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An Optimized Task Duplication Based Scheduling in Parallel System

Rachhpal Singh
2016 International Journal of Intelligent Systems and Applications  
By the inherent nature of solving enormous number of problems with the concurrent execution, parallel process methods grow to be a popular technique. The challenges of parallel co mputing are dealing with the computing resources for the number of tasks and complexity, dependency, resource starvation, load balancing and efficiency. In this paper, the brief discussion about the parallel co mputation is carried out, and numerous performance issues are also discovered as an open issue. The risk
more » ... issue. The risk encountered in parallel co mputing is the motivation to analyze d ifferent optimizat ion techniques to accomplish the tasks without risky environment. Genetic Algorithm (GA ) is another approach to make the concept of scheduling easy and fast. Here the paper presents a Task Duplication based Genetic Algorith m with Load Balance (TD-GA) approach on parallel processing for effective scheduling of mult iple tasks with less schedule length and load balance. TD-GA algorith m t ruly handles the issues very well and the results show that complexity, load balance and resource utilizat ion are finely managed when compared to the other optimization approaches.
doi:10.5815/ijisa.2016.08.04 fatcat:6pfkz5ljyjg2pgdmiujortih44