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Distributed computing framework such asHadoop is now a prominent solution for the efficient big dataprocessing. However, the current data placement strategiesin these frameworks lack in consideration of the types ofstorage devices and the features of surveillance video tasks.So using the current distributed computing framework forlarge-scale video processing in the cloud computing clusterwith hybrid...
Many current video surveillance cloud platforms are built based on Virtual Machine (VM) technology that usually induces the loss of service performance and brings some challenges in the service management agility. In addition, the efficient resource provisioning for the heterogeneous video services is also a challenging issue in such a dynamic and shared cloud environment. In this paper, we firstly...
Recent years, more and more enterprises migrate their applications to the cloud for cost saving. During the application migration, an application usually needs to be re-designed from a workflow to an execution plan on a cloud platform. Based on the execution plan, many scheduling optimization approaches have been proposed to improve the performance of the system. In this paper, we argue that the concurrency...
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