Medical Data Simulation with Self-Adaptive Multi-instance Broker in Hierarchical Cluster Grid Structure

Abstract

This research explores the use of grid resource broker as a high-level solution for the grid resource management system in a hierarchical cluster grid environment to process medical imaging data. There are two components to the Multi-Instance Broker which are the Self-Adaptive Multi-Instance Broker Manager and the Broker Instance entity. The Manager is adaptive through its self-determination of the number of instances with the assistance of the Grid Information Service. The Broker Instance entity generates the broker instances determined by the Manager and implements scheduler properties. The Multi-Instance Broker generates multiple replicated broker instances as service extenders which handles concurrent parallel jobs simultaneously. Both the framework and strategy for implementation has been determined in this study and at the same time, the properties and characteristics of the multi-broker instance are identified and presented here.