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Resource positioning in cloud computing system under the support of the Internet of things (IoT) is very important, especially for distributed collaborative task. Position-based services is used to collect, process, store and distribute position information. Taking a typical collaborative task - cloud manufacturing as the background, in view of resource positioning service, an algorithm supported...
Though cloud computing technology is usually used to analyze big data, for business data produced by collaborative task system, the massive business data sets should be analyzed from a business process perspective, more than a technology perspective. To achieve the goal, an analysis approach based on iterative computation is proposed. Firstly, taking data sequence analysis in collaborative workflows...
In distributed manufacturing systems, manufacturing resource composition is one of the most important problems. This is because efficiency of resource selection and resource utilization can all be improved if it is tackled well. However, most of the existing methods neglect temporal relationship between resources. This leads to an inefficient use of resources, because all resources have to be kept...
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