Affiliation:
1. University of Petroleum and Energy Studies, Dehradun, India
Abstract
Powerful computational capabilities and resource availability at a low cost is the utmost demand for high performance computing. The resources for computing can viewed as the edges of an interconnected grid. It can attain the capabilities of grid computing by balancing the load at various levels. Since the nature of resources are heterogeneous and distributed geographically, the grid computing paradigm in its original form cannot be used to meet the requirements, so it can use the capabilities of the cloud and other technologies to achieve the goal. Resource heterogeneity makes grid computing more dynamic and challenging. Therefore, in this article the problem of scalability, heterogeneity and adaptability of grid computing is discussed with a perspective of providing high computing, load balancing and availability of resources.
Reference21 articles.
1. Metacomputing: Harnessing informal supercomputers.;M.Baker;High Performance Cluster Computing: Architectures and Systems,1999
2. The NOW MOSIX and its preemptive process migration scheme.;A.Barak;Bulletin of the IEEE Technical Committee on Operating Systems and Application Environments,1995
3. Collective receiver-initiated multicast for grid applications.;M.Burger;IEEE Transactions on Parallel and Distributed Systems,2011
4. A taxonomy of scheduling in general-purpose distributed computing systems
5. Adaptive load sharing in homogeneous distributed systems.;D. L.Eager;IEEE Transactions on Software Engineering,1986