Macro adjustment based task scheduling in hierarchical grid market

Abstract

Hierarchical organization is suitable for computational Grid. Although a number of Grid systems adopt this organization, few of them have dealt with the task scheduling for the hierarchical architecture. In this paper, we introduce a hierarchical Grid market model, which maintains the autonomy of the Grid end users, but incorporates macro adjustment of Grid information center into hierarchical Grid task scheduling. Simulation experiments show that the proposed method can improve the inquiry efficiency for resource consumers and get better load balancing of the whole hierarchical Grid market. © Springer-Verlag Berlin Heidelberg 2007.