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Distributed data center architectures have been recently developed for a more efficient and economical storage of data. In many models of distributed storage, the aim is to store the data in such a way so that the storage costs are minimized and increased redundancy requirements are maintained. However, many approaches do not fully consider issues relating to delivering the data to the end user and...
Data are special kinds of resource in grid, and their flow, management and uniform view play an important role in the grid system. This paper presents a dynamic adaptive data transfer model based on multiple replicas in the grid environment, compared with the traditional data transfer method based on single replica, the experimental results show that this model has a better transfer performance.
Today's data centers consume vast amounts of energy, leading to high operational costs, excessive water consumption, and significant greenhouse gas emissions. With the approach of micro grids, an opportunity exists to reduce the environmental impact and cost of power in data centers. To realize this, demand side power consumption needs to be understood and co-managed from the perspectives of both...
A result verification procedure is required to guarantee the correctness of task results executed by any unspecified resource in desktop grids. Voting-based and trust-based schemes have typically been used for desktop grid. However, these schemes can encounter two problems: waste of resources, due to redundant replications of each task, and increased turnaround time, due to the inability to deal with...
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