Towards scalable and reliable Grid Networks
O. A. Rahmeh, Princy Johnson
Abstract
O. A. Rahmeh, Princy Johnson
Abstract
Improvements in computer and networking technologies over the past decades produced new type of collaborative computing environment called grid networks. Grid is a parallel and distributed computing network system that provides the ability to perform higher throughput computing by taking advantage of many computing resources available in the network. Therefore, to achieve a scalable and reliable grid network system, we need to efficiently distribute the load among the resources accessible on the network. In this paper, we present a distributed and scalable load- balancing framework for grid networks. The generated network system is self-organized and depends only on local information for load distribution and resource discovery. Simulation results show that the generated network system provides an effective, scalable, and reliable load-balancing scheme for the distributed resources accessible on grid networks.
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Improvements in computer and networking technologies over the past decades produced new type of collaborative computing environment called grid networks. Grid is a parallel and distributed computing network system that provides the ability to perform higher throughput computing by taking advantage of many computing resources available in the network. Therefore, to achieve a scalable and reliable grid network system, we need to efficiently distribute the load among the resources accessible on the network. In this paper, we present a distributed and scalable load- balancing framework for grid networks. The generated network system is self-organized and depends only on local information for load distribution and resource discovery. Simulation results show that the generated network system provides an effective, scalable, and reliable load-balancing scheme for the distributed resources accessible on grid networks.
Key concepts: Computer science, Distributed computing, Scalability, Grid computing, Load balancing (electrical power), Grid, Computer network, Operating system