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The current works about task scheduling with deadline-constraint in homogeneous environment rarely take the differences of Map and Reduce task and data locality into account in the same scheduler. To address this problem, we introduce a scheduling algorithm that Map and Reduce are regarded as two separated stages of scheduling problem in homogeneous environment. For the sake of realizing this algorithm,...
Grid systems tend to grow in size, but currently deployed state-of-the-art schedulers have inherent scalability limits due to centralization. In this paper, we present a novel, fully decentralized scheduling approach for Grid Computing. The approach is inspired from the gravitational field in physics. In the approach, a task autonomously selects a suitable computing node based on local information...
Many of large-scale scientific applications executed on present-day Grids, such as bioinformatics and computational chemistry, are expressed as complex workflows. To enhance Grid computing paradigm, Web Service has emerged as the de-facto communication mechanism in Grid environments. However, in heterogeneous and dynamic Grid environments, Web Services of the same type and similar functionalities...
The problem of how to allocate the resources optimally and adaptively in the dynamic, scalable and distribute-controlled grid environment is introduced and discussed numerously. But recent researches can't satisfy with the needs of resource allocation in grid system thoroughly. In this paper, we use the SuperScheduling concept in grid system, which is with no explicit model. And we introduce ant colony...
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