Grid computing is being adopted in various areas from academic, industry research to government use. Grids are becoming platforms for high performance and distributed computing. The computational grid is a new parallel and distributed computing paradigm that provides resources for large scientific computing applications. Many researchers have been proposed numerous scheduling and load balancing...

Grid computing is a high performance computing environment to solve larger scale computational applications. Grid computing contains resource management, job scheduling, security problems, information management and so on. Job scheduling is a fundamental and important issue in achieving high performance in grid computing systems. However, it is a big challenge to design an efficient scheduler a...

Load balancing is one of the major search areas in grid computing. The strategy of the grid computing is another important topic. Job scheduling is the way of scheduling jobs in a grid environment that contains heterogeneous resources. The strategy of the grid computing describes the overall model of the grid hierarchy. Some papers show a tree model for a grid computing. This paper enhances a m...

The DisCAS system employs and interacts with multiple ELIMINOs distributed over the Internet to achieve a distributed-parallel computing environment. ELIMINO is a computer algebra system developed to support Wu’s method for computing characteristic sets of polynomials and for other related operations. GridPPI, an MPI-like interface for grid computing, could couple multiple computing tools distr...

The term grid computing originated in the early 1990s as a metaphor for making computer power as easy to access as an electric power grid. The first definition of grid computing was that “A computational grid is a hardware and software infrastructure that provides dependable, consistent, pervasive, and inexpensive access to high-end computational capabilities.” Grid computing is today applied i...

The aim of Grid Computing Pool (GCP) is to integrate heterogeneous large-scale computing devices and famous computing tools into a virtual supercomputer by using grid technology. It makes supercomputing services Internet accessible easily and widely. Performance analysis shows that GCP improves service quality and utilization of these computing resources greatly. By implementing Grid Computing ...

Grid computing provides solutions for various complex problems. Implementing computing intensive applications such as string matching problem on grid is inevitable. In this paper we present a new method for exact string matching based on grid computing. The function of the grid is to parallelize the string matching problem using grid MPI parallel programming method or loosely coupled parallel s...

Ad-hoc grid computing is an emerging computing technology that promises to deliver high performance at relatively low cost using existing computing resources. There are a number of grid middleware systems being developed to this end. However, a number of features are lacking that are required if ad hoc grid computing is to become viable in a production environment. This paper addresses two of t...

We introduce the concept of Grid Speedup as a scalability metric for parallel applications on the grid and analyze it theoretically. It is shown that classes of applications exist for which good grid speedups can be expected. The class of stencil-based applications is taken as an example. The Grid computing community is challenged to demonstrate large grid speedups on real Grid computing enviro...