Details

Autor(en) / Beteiligte

• Preve, Nikolaos

Titel

Balanced Job Scheduling Based on Ant Algorithm for Grid Network

Ist Teil von

• International journal of grid and high performance computing, 2010-01, Vol.2 (1), p.34-50

Ort / Verlag

Hershey: IGI Global

Erscheinungsjahr

2010

Link zum Volltext

Quelle

Alma/SFX Local Collection

Beschreibungen/Notizen

• Job scheduling in grid computing is a very important problem. To utilize grids efficiently, we need a good job scheduling algorithm to assign jobs to resources in grids. The main scope of this article is to propose a new Ant Colony Optimization (ACO) algorithm for balanced job scheduling in the Grid environment. To achieve the above goal, we will indicate a way to balance the entire system load while minimizing the makespan of a given set of jobs. Based on the experimental results, the proposed algorithm confidently demonstrates its practicability and competitiveness compared with other job scheduling algorithms.