A Framework for QoS Adaptive Grid Meta Scheduling

Grid environment, being a collection of heterogeneous and geographically distributed resources, is prone to many kinds of failures. In order to fully realize the potential of the grid environment, we need mechanisms that guarantee quality of service, even in the face of failures. In this paper, we introduce the notion of scheduling based on "availability", and provide a framework (AG-MetS) for QoS adaptive grid meta scheduling. AGMetS uses "availability" to adapt to the underlying resource failures, thereby ensuring QoS even in the face of failures. We provide detailed design description, and a prototype implementation of AGMetS. We further provide the experimental results of our work, showing the effectiveness of AGMetS