With the rapid development in wide area networks and low cost, powerful computational resources, grid computing has gained its popularity. With the advent of grid computing, space limitations of conventional distributed systems can be overcome and underutilized computing resources at different locations around the world can be put to distributed jobs. Workload and resource management is the mai...

Grid computing aims to create an accessible virtual supercomputer by integrating distributed computers to form a parallel infrastructure for processing applications. To enable service-oriented Grid computing, the Grid computing architecture was aligned with current Web service technologies. Thereby making it possible for Grid applications to be exposed as Web services. The WSRF set of specifica...

Several computational chemistry techniques applied to the solution of computational chemistry problems are presented. The examples including vibrational analysis, chemical reaction studies point toward certain areas of research in chemistry where Grid computing can be applied with success. In parallel to tasks to which Grid computing can be applied directly we give a recipe for designing the co...

The growth in computer and networking technologies over the past decades produced new type of collaborative computing environment called Grid Network. Grid is a parallel and distributed computing network system that possesses the ability to achieve a higher throughput computing by taking advantage of many computing resources available in the network. Therefore, to achieve a scalable and reliabl...

Autonomic and Grid computing are complementary, in the sense that complex grid environments can take advantage of the features provided by autonomic computing and on the other hand, autonomic processes can be properly deployed by using grid technology. Besides, one of the most active fields in grid computing is the area of data grids, focusing on the data access. Our paper proposes a grid frame...