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The increasing availability of smartphones, cameras, and wearables with instant data sharing capabilities, and the exploitation of social networks for information broadcast, heralds a future of real-time information overload. With the growing excess of worldwide streaming data, such as images, geotags, text annotations, and sensory measurements, an increasingly common service will become one of data...
This paper develops new schedulability bounds for a simplified MapReduce workflow model. MapReduce is a distributed computing paradigm, deployed in industry for over a decade. Different from conventional multiprocessor platforms, MapReduce deployments usually span thousands of machines, and a MapReduce job may contain as many as tens of thousands of parallel segments. State-of-the-art MapReduce workflow...
Total energy minimization in data centers (including both computing and cooling energy) requires modeling the interactions between computing decisions (such as load distribution) and heat transfer in the room, since load acts as heat sources whose distribution in space affects cooling energy. This paper presents the first closed-form analytic optimal solution for load distribution in a machine rack...
Foundation pit engineering is composed of some inter-related and relatively independent sub-engineering which makes it possible to introduce the distributed parallel optimal method into foundation pit engineering design. Based on the genetic algorithm with intrinsic parallelism, a distributed three-level co-evolution model and its corresponding algorithm, which can realize collaborative optimal design...
Considering the dynamic error of platform inertial navigation system (INS) caused by vehicle mobile movement, output information of underwater vehicle and input information of INS are deeply analyzed. This paper gives the transform relationship among geographical reference frame, fixed and reference frame which are used to describe movement of underwater vehicle. Then, logical join between vehicle...
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