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In cloud computing and high performance computing, a large job is typically divided into many small tasks for parallel execution in a distributed environment. Due to different reasons, some tasks (so-called ‘stragglers’) are considerably slower than the others, delaying the completion of the job. We propose a new machine learning approach to automatically identify and diagnose the stragglers. To first...
Brain storm optimization (BSO) is a novel population-based swarm intelligence algorithm based on the human brainstorming process. BSO has been proven feasible and has been successfully applied to benchmark problems in the electromagnetic field. In this paper, inspired by the mechanism of quantum theories, a novel variant of BSO algorithm, called quantum-behaved BSO (QBSO), is proposed to solve an...
Recommender systems are widely used in online business to satisfy user personalization demands. The most successful technique of such systems is collaborative filtering, which utilizes users' known preference to generate predictions of the unknown preferences. A key challenge for collaborative filtering recommender systems is providing high quality recommendations to new users that have not enough...
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