A Heuristic Resource Management Method in Grid Computing Environment
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Grid is an emerging infrastructure which enables effective coordinate access to various distributed computing resources in order to serve the needs of collaborative research and work across the world. Grid resource management is always a key subject in the grid computing. We first analyze the resource management in the grid computing environment, then according to the load imbalance question in the ant colony optimization algorithm, propose an improved algorithm that suits to be used in the grid environment.Keywords:
Resource Management
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Grid computing is an emerging technology that enables users to share a large number of computing resources distributed over a network One of the main challenges in Grid computing is Grid resource management The purpose of Grid resource management is to solve the problem of resource management that brings dynamic and uncertainty The resources distributed are heterogeneous and dynamic in a Grid environment Moreover, it is owned by different organizations respectively However, how to use and manage the Grid resources is one of the important issues in relevant research In order to acquire the best distribution in Grid resources management, a three-dimensional Bayes Nash equilibrium that solves the efficient distributed resource problem in different limited application environment is proposed The results can improve the utilization of operational resources, and attain the most suitable method for assigning the Grid resources.
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Grid Computing is a platform for coordinated resource sharing and problem solving on a global scale among virtual organizations. Grid uses Grid Services to access and use a set of Grid resources. Subsequently, these Grid Services need to be discovered, selected and invoked quickly and efficiently to satisfy the needs of a demanding environment such as Grid. In this paper, we introduce how the Grid Computing takes advantage of the benefits of Semantic Web to manipulate Grid Services obtaining better searches, results and performance.
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The current grid technology can be viewed as an extension or application of this framework to create a more generic resource sharing context. Grid technology is widely emerging. Still, there is an eminent shortage of real grid users, due to the absence of two important catalysts. A widely accepted vision on how applications can substantially benefit from grids, and second a toolkit of higher-level grid services, tailored to application needs. The grid aims to provide fundamentally new capabilities for applications to exploit the power of grid computing. We present a architecture of grid, middleware and its application technology, a large-scale, grid-empowered applications and then discuss grid general architecture and its grid application. We illustrate how applications can be grid-enabled and discuss grid as an tool for computing services.
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In recent years,with more and more implementation of the grid project,grid computing quickly became a hot topic.Grid Computing contains both the actual network services and a large number of computing devices.On the basis of the introducing the definition of the grid,the paper analyzes the characteristics of grid resources,the main problems to be resolves by the grid,as well as the main features of grid computing and architecture development.
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