Analysis of Enhanced TDB Based Parallel Scheduling Algorithm Using Artificial Bee Colony
Rachhpal Singh · international conference on Modelling and simulation · 2015
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 computing are dealing with the computing resources for the number of tasks and complexity, dependency, resource starvation, load balancing and efficiency. The risk encountered in parallel computing is the motivation to analyze different optimization techniques to accomplish the tasks without risky environment. Here, Artificial Bee Colony (ABC) algorithm with Load Balancing approach on parallel processing for effective scheduling of multiple tasks with less schedule length and load balance is presented. ABC algorithm has been designed and implemented using MATLAB tool. The experimental results have shown that the ABC has the ability to balance the load in efficient manner along with decreasing the computational complexity.