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Titlebook: Algorithms and Architectures for Parallel Processing; 21st International C Yongxuan Lai,Tian Wang,Aniello Castiglione Conference proceeding

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Language, Grammar, and Punctuation,hich is based on attribute-based encryption theory and suitable for topic-based publish/subscribe communication model. The scheme takes the topic as the unit of data access control and integrates the access control process with the DDS communication process, In the discovery phase of DDS, the digita
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The School Mathematical Education,m in social media analysis is how to intelligently detect event information from massive media data and how to help users quickly understand event content. Therefore, we propose a method to extract important time periods of events from media data to analyze the media event information, and develop a
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Language, Grammar, and Punctuation,te them efficiently, streaming dataflows are often dynamically changing, which may cause computation imbalance and backpressure..We introduce AutoFlow, an automatic, hotspot-aware dynamic load balance system for streaming dataflows. It incorporates a centralized scheduler that monitors the load bala
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Percentages and Living on Debt,rmance bottleneck in large-scale systems that maintain tens of millions of subscriptions, such as stock data updates. To deal with the large-scale subscription problem, in this paper, we propose a new matching algorithm called BMTP, which achieves high and robust matching performance. BMTP combines
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Language, Grammar, and Punctuation, network, the high nonlinearity and complexity of traffic data, few methods are well-suited for citywide traffic congestion prediction. In this paper, we propose a novel deep model named AF-TCP for .raffic .ongestion .rediction at .rbitrary road segment and .lexible future time. For the model to ach
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Foreign Countries and Foreigners,stributed applications. However, the accurate values of the quality of services (QoS) are usually uneasy to obtain for they are typically personalized and highly depend on the contexts of users and services such as locations, bandwidths and other network conditions. Therefore, personalized and conte
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The School Mathematical Education,g (MCS) cannot meet its requirements, so we adopt a distributed MCS architecture to complete this process. This paper proposes an MCS multi-task allocation framework based on edge interaction assistance, which uses edge nodes to distribute the computing load of MCS platform. In the case of short tim
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