چکیده (انگلیسی):

A grid resource broker seeks to assign the appropriate jobs to the appropriate resources as part of
resource management in the multi-grid environment. Multi instances of the broker system provides
multiple instances of brokers to simultaneously process jobs between multiple resources in a hierarchical
cluster grid environment. In this study, the multi-instance broker is developed using grid resource broker
taxonomy properties. The number of broker instances to be used for each processing session is
determined by calculating resources, computing power and workload. The Self-Adaptive Multi-Instance
Broker Scheduling algorithm SAMiB was tested against iHLBA algorithm through four types of
scenarios containing various mixes of background load and CPU speed. The SAMiB algorithm has
achieved a decrease of 14.93% in makespan time for 2000 jobs, proving the suitability of the multiinstance
broker concept for the hierarchical cluster grid environment.