HPRDG: A scalable framework hypercube-P2P-based for resource discovery in computational Grid

As Grids try to achieve optimal and balanced utilization of unused resources in a distributed system, efficient resource discovery mechanism is one of the fundamental requirement for Grid computing systems, as it aids in resource management and scheduling of applications. Resource discovery in Grid is a challenging issue because characteristics of its resources are heterogeneous, dynamic, various and autonomous. Supporting Range queries, preserving autonomous administrative and preserving locality in this environment is a hot topic in recent researches. This paper propose HPRDG a scalable and reliable framework that present essential characteristic for efficient range queries, performs explicit load balancing and preserving autonomous administrative and locality. Also this scheme is self-organized with capability of handling dynamic attributes such as CPU and memory load. Our proposal architecture eliminates centralized control by using a hybrid P2P structure with hypercube overlays. In addition, HPRDG takes the accounting and authorization concerns into the consideration.