A Novel Task Scheduling Algorithm for Heterogeneous Computing

Abstract

The grid computing system can support the execution of computationally intensive parallel and distributive applications. The main characteristics of grid computing and heterogeneous computing system are similar. A novel scheduling algorithm, called NHEFT is proposed in this paper to enhance the functions of heterogeneous Earliest-Finish time (HEFT) algorithm. The NHEFT algorithm works for a bounded number of heterogeneous processors, the main objective of NHEFT is getting high performance and fast scheduling. The algorithm selects the tasks with a rank system at each step of execution of algorithm, which minimize earliest finish time with the minimization of cost. General Terms Distributed Computing, Heterogeneous Computing, Grid Computing.