Contribution of BFO in grid scheduling

Abstract

Task scheduling is a critical issue in achieving high performance in grid computing. Bacterial foraging optimization is an algorithm that has its thrust on the group foraging behaviour of Escherichia coli (E-Coli) present in the human intestine and has been used to solve optimization problems and is applied to task scheduling. BFO has been hybridized with different algorithms in order to examine its local and global search properties separately in a multi processing environment. This paper presents a broad overview on the formalization of works carried out on task scheduling by BFO and its hybridized variants.