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This paper focuses on optimizing the virtual machine (VM) placement to reduce the bandwidth usage in modern virtualization based data centers. Existing solutions require all the traffic rates between any pair of VMs to be known beforehand, which may incur significant overhead or even be impossible. To reduce such overhead, we adopt the product traffic pattern model to characterize the traffic rates...
Data Grid integrates graphically distributed resources for solving data sensitive scientific applications. The main issues in data grid are task scheduling and data management. As data grid spans multiple organization areas, it makes centralized resource management difficult. Therefore, it is necessary to study decentralized resource management. In this paper, a decentralized architecture of integration...
Data grid integrates geographically distributed resources for solving data-sensitive scientific applications. As tasks are sensitive to data, dealing with large amount of data makes the requirement for efficiency in data access more critical. The goal of replica placement is to shorten data access time for enhancing the task execution performance. Therefore, replica placement strategies are often...
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