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Data transfer is very important in cloud computing, minimum the time cost is an effective way to improve the system performance. The purpose of the study was to model the data transfer process in the private cloud and shrink the time cost. Depending on the communication pattern of the model, the transfer algorithm was proposed for single and multi cluster. Experiments illustrated that the model proposed...
During the process of the smart power grid construction, the dynamic behavior of the power enterprises will be increasingly complex, to mention about the power dispatching Operation Management System(OMS), this implies that a great number of application data and power information will pour into OMS in the case of failure. For the purpose of timely insight into the existing anomalies and potential...
After the research and analyze of demand and capacity management in supply chain, the paper proposed an analysis model of MRP and supplier's capacity based on the demand data model and capacity data model to cover the limitations in current management of demand and capacity. Through the practical application of the model in enterprise, the results showed that the bottleneck of capacity can be found...
A major problem in mobile computing is the optimal replication and location of data files in the Grid sites, in order to improve and maintain over time a high overall throughput of Grid jobs that access files. Therefore, a Grid optimization service should be able to dynamically modify the geographic distribution of data files, triggering file replication and location, according to the variation over...
Trading port efficiency is an important determinant of the competitiveness of the goods and a key factor to improve the investment climate of the countries. Managing the efficiency and coordinating distributed entities in a supply chain is a challenging task. This paper provide proposed s decision support framework for port efficiency discovery based on intelligent data integration, and provided some...
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