datacenter networksreinforcement learningtraffic optimizationTraffic optimizations (TOs, e.g. flow scheduling, load balancing) in datacenters are difficult online decision-making problems. Previously, they are done with heuristics relying on operators' understanding of the workload and environment. Designing...
Concurrent optimization of safety and traffic flow using deep reinforcement learning for autonomous intersection managementWith increasing connectivity and autonomy in traffic eco-systems, Autonomous Intersection Management (AIM) has attracted strong... L Muthugama,H Xie,E Tanin,... - 《Proceedings of ...
It is a pure software solution (comprising machine learning algorithms) that integrates with standard Mobile Packet Core (P-GW) including DPI functions such as Application Detection and Control. Using this solution in conjunction with the packet core allows mobile operators to define optimization...
V. 后处理级别的优化(Optimization in Post-processing Stage) 将流量数据记录在sketch后,还需要进行一些操作,才能从sketch中获得有价值的信息,如sketch压缩(sketch compression)、sketch合并(sketch merging)等。此外,还提出了一些新的信息提取技术(information extraction techniques)来丰富sketch的功能。 A. sketch压缩和...
Traffic light optimization is known to be a cost-effective method for reducing congestion and energy consumption in urban areas without changing physical road infrastructure. However, due to the high installation and maintenance costs of vehicle detectors, most intersections are controlled by fixed-time...
Continuous optimization techniques such as experience replay, target Q-network, and advantage value function generally apply to improve stability and faster convergence on a single agent case. The Multi-Agent Reinforcement Learning (MARL) system for a multi-agent system (MAS) has become a key ...
Machine learningOffloading probability optimizationOpportunistic communications as an efficient traffic offloading method can be used to offload uplink traffic of cellular networks to Wi-Fi networks. However, because of its contact pattern (contact frequency and contact duration) the offloading method could...
not only various communication technologies but also artificial intelligence technologies, which can be used for 5G network optimization, optimal resource allocation, 5G physical layer unified acceleration, end-to-end joint optimization of physical layer, etc. (You, Zhang, Tan, Jin, & Wu, 2019), ...
Hybrid graph convolution neural network and branch and bound optimization for traffic flow forecasting[J]. Future Generation Computer Systems, 2022. Link Xiu C, Sun Y, Peng Q. Modelling traffic as multi-graph signals: Using domain knowledge to enhance the network-level passenger flow prediction in...
- Seventh International Joint Conference on Computational Sciences & Optimization 被引量: 5发表: 2014年 Real-Time Document Image Classification using Deep CNN and Extreme Learning Machines This paper presents an approach for real-time training and testing for document image classification. In production...