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Titlebook: Network and Parallel Computing; 16th IFIP WG 10.3 In Xiaoxin Tang,Quan Chen,Jean-Luc Gaudiot Conference proceedings 2019 IFIP International

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楼主: damped
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High Performance DDoS Attack Detection System Based on Distribution Statistics scheme that could make a compromise between the detection speed and detection accuracy. Experimental results show that our method can process more than 100,000 records per second. The false alarm rate can achieve 2% to 25% performance improvement.
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GraphScSh: Efficient I/O Scheduling and Graph Sharing for Concurrent Graph Processingng platforms are inherently designed for a single job, they incur the high cost when CGP jobs are executed. In this work, we observed that existing systems do not allow CGP jobs to share graph structure data of each iteration, introducing redundant accesses to same graph. Moreover, all the graphs ar
发表于 2025-3-29 02:00:28 | 显示全部楼层
Game-Based Multi-MD with QoS Computation Offloading for Mobile Edge Computing of Limited Computationices (MDs) with computation-intensive and delay-sensitive tasks. Facing with high requirements of many MDs, it’s essential for MEC with limited computation capacity to serve more MDs with QoS. For each mobile device, it is also desirable to have a low energy consumption with an expected deadline. To
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KLSAT: An Application Mapping Algorithm Based on Kernighan–Lin Partition and Simulated Annealing forhese problems of applications running on multicore architecture, we propose a novel application mapping algorithm, called KLSAT mapping algorithm. It is used for the triplet-based architecture (TriBA) topology which is WK-recursive based networks well conform to a modular design due to the propertie
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PRTSM: Hardware Data Arrangement Mechanisms for Convolutional Layer Computation on the Systolic Arrand accumulation (MAC) naturally, there are many groups which use the systolic array to accelerate the computation of DNN (Deep Neural Network). However, the performance of the systolic array is limited by the data bandwidth. Some groups solve this problem with the method of loop tiling and care litt
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Statistical Analysis and Prediction of Parking Behaviorvolution, understanding parking behavior and making an effective prediction is important for parking companies and municipal policymakers..We obtain real parking data from a big parking company for parking behavior analysis and prediction. The dataset comes from a shopping mall in Ningbo, Zhejiang,
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