A Review on Resource Discovery Strategies in Grid Computing

Technological, Finance, Scientific, engineering and other applications and in specific grand challenge applications are becoming ever more demanding in terms of their computing requirements. Gradually, all these requirements can no longer be managed by a single organization. A Cost-effective modern technology that could address the computing bottleneck is grid computing, which enable clusters of organizations to share their computing ability in an effective way. The resource management system is the main component of any network computing system. There is a lot of work in the hands of Grid computing research community focusing on network computing that have designed and implemented resource management systems with a variety of architectures and services. The discovery of a resource that meets the requirements of a Grid user specific to his query, plays an important role in Grid management system. In today’s seamless computing environment effective use of pooled resources is a challenging task. Various strategies that support the Grid system management are reviewed in this paper .The need to polish these strategies and the role of Data mining technologies in this betterment are the key components of this paper. The means to apply Data Mining techniques for better Grid management are identified.