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The scheduling and execution for grid application is an important problem in the grid environment. To get the high reliability and efficiency, we propose a runtime reputation based grid resource selection algorithm. According to the accumulated raw score, the runtime reputation degree for a grid resource is quantified as an evaluating score in the runtime of an application. Instead of being dependent...
In grid environments, the deployment and management of application software presents a major practical challenge for end users. Performing these tasks manually is error-prone and not scalable to large grids. In this work, we propose an automation tool, ADEM, for grid application software deployment and management, and demonstrate and evaluate the tool on the Open Science Grid. ADEM uses Globus for...
Large scale parameter sweep application (PSA) is one of the main grid applications, which may have different characteristics and demands. In this paper, we describe how to use swift to enable the on-demand execution of large scale PSA on open science grid (OSG). The basic on-demand concept means providing appropriate grid resources for the application, which is decided by the characteristics and demands...
To make the best of expensive and limited application licenses in the real campus computational grid environment, we propose some software license management optimization policies. The main approaches are automatic scheduling based on application queues, dynamic license monitoring in real time, flexible floating license scheduling based on node resource scheduling. The implementation shows that they...
There are many effective heuristic algorithms for scheduling in the computational grid, however most scheduling strategies have not consider how to effectively share abundant applications software, especially commercial applications software with limited licenses. In this paper, we propose an application-oriented on-demand scheduling approach. It is based on the static and near-real-time application-specific...
Resource management is one of the crucial issues in the campus grid environment. In this paper, we propose a resources optimizing management scheme in the campus computational grid environment. The NPU Campus computational grid is introduced. Then, we propose some resources optimizing management approaches. The application features are presented and analyzed
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