During the past decade, Grid computing has gained popularity as a means to build powerful computing infrastructures by aggregating distributed computing capacity. Grid technology allows computing resources that belong to different organizations to be integrated into a single unified system image – a Grid. As such, Grid technology constitutes a key enabler of large-scale, crossorganizational sha...

The grid computing system can support the execution of computationally intensive parallel and distributive applications. The main characteristics of grid computing and heterogeneous computing system are similar. A novel scheduling algorithm, called NHEFT is proposed in this paper to enhance the functions of heterogeneous Earliest-Finish time (HEFT) algorithm. The NHEFT algorithm works for a bou...

Grid computing is a high performance computing environment to solve larger scale computational demands. Grid computing contains resource management, task scheduling, security problems, information management and so on. Task scheduling in an important aspect of distributed computing. As grid computing is a form of distributed computing with heterogeneous resources working in a shared environment...

This paper addresses the problem of resource scheduling in a grid computing environment. One of the main goals of grid computing is to share system resources among geographically dispersed users, and schedule resource requests in an efficient manner. Grid computing resources are distributed, heterogeneous, dynamic, and autonomous, which makes resource scheduling a complex problem. This paper pr...

Grid computing technologies are increasingly being used to aggregate computing resources that are geographically distributed. Commercial networks are being used to connect these resources, and thus serve as a fundamental component of Grid computing. Since these Grid resources are connected over a shared infrastructure, it is essential that we consider the effects of using this shared infrastruc...

Grid computing is a means of allocating the computational power of a large number of computers to complex difficult computation or problem. Grid computing is a distributed computing paradigm that differs from traditional distributed computing in that it is aimed toward large scale systems that even span organizational boundaries. This paper proposes a method to achieve maximum fault tolerance i...

This work presents an overview of the outsourcing phenomenon applied to Grid Computing. Grid Computing is an exciting technology that has been making significant advances in academia since the development of the Globus Toolkit. In recent years, the technology has become more intriguing to the business world but there appears to be a void in the literature regarding the outsourcing of Grid Compu...

Grid computing offers great opportunities for companies to tap new streams of revenues by taking advantages of the wired computing powers based on the grid service architectures. Resource allocation is one of the key concerns in such a computing environment. In this paper, we present a deployment framework for grid computing. The framework enables open grid services to dynamically deploy (deplo...

Grid computing has emerged as a promising alternative to increase the capacity of processing and storage. It is an aggregation of dynamic, heterogeneous, and widely distributed resources, shared among different institutions. In order to provide load balancing and support for non-dedicated machines, the Grid middleware must be able to move computations among its nodes. This paper describes a tra...

Grid computing utilizes the distributed heterogeneous resources in order to support complicated computing problems. Grid can be classified into two types: computing grid and data grid. Job scheduling in computing grid is a very important problem. To utilize grids efficiently, we need a good job scheduling algorithm to assign jobs to resources in grids. In the natural environment, the ants have ...