Results 261 to 270 of about 1,296,552 (329)

Pareto: Fair Congestion Control With Online Reinforcement Learning

IEEE Transactions on Network Science and Engineering, 2022
Modern-day computer networks are highly diverse and dynamic, calling for fair and adaptive network congestion control algorithms with the objective of achieving the best possible throughput, latency, and inter-flow fairness.
Salma Emara, Fei Wang, Baochun Li, Timothy J. Zeyl   +3 more
semanticscholar   +1 more source

IEACC: An Intelligent Edge-Aided Congestion Control Scheme for Named Data Networking With Deep Reinforcement Learning

IEEE Transactions on Network and Service Management, 2022
As a promising implementation of Information-Centric Networking (ICN), Named Data Networking (NDN) has potential advantages over the TCP/IP network in content distribution, mobility support, etc.
Jiayu Yang, Yuxin Chen, Kaiping Xue, Jiangping Han, Jian Li, David S. L. Wei, Qibin Sun, Jun Lu   +7 more
semanticscholar   +1 more source

Congestion control for intelligent networks

Computer Networks and ISDN Systems, 1994
Due to the centralized control architecture in intelligent networks (IN), service control points (SCPs) working as central servers have to carry out a large number of service requests coming from underlying service switching points (SSPs). Appropriate congestion control, considering the special IN aspects, is required.
X.H. Pham, R. Betts
openaire   +1 more source

Owl: Congestion Control with Partially Invisible Networks via Reinforcement Learning

IEEE Conference on Computer Communications, 2021
Years of research on transport protocols have not solved the tussle between in-network and end-to-end congestion control. This debate is due to the variance of conditions and assumptions in different network scenarios, e.g., cellular versus data center ...
Alessio Sacco, Matteo Flocco, Flavio Esposito, Guido Marchetto   +3 more
semanticscholar   +1 more source

Congestion Control in Satellite Networks

2008 4th International Conference on Wireless Communications, Networking and Mobile Computing, 2008
Congestion is a natural phenomenon in any network queuing system, and is unavoidable if the queuing system is operated near capacity. In this paper, we study how to set rules of a satellite queuing system so that all the users have self-interest in controlling congestion when it happens. Most of the mechanisms proposed to accomplish this in terrestrial
Xiao Huang, Chengbo Jiao
openaire   +1 more source

Teaching networking congestion control

Working group reports from ITiCSE on Innovation and technology in computer science education, 2004
This paper presents main stages of networking congestion control development including initial early motivations, modern state-of-the-art, and open problems. These stages form basis for teaching strategies. The paper provides several illustrative examples, which help to understand present state of congestion control using common experience of a person.
openaire   +1 more source

DeepCC: Multi-Agent Deep Reinforcement Learning Congestion Control for Multi-Path TCP Based on Self-Attention

IEEE Transactions on Network and Service Management, 2021
With the development of the Internet of Things (IoT) and 5G, there are ubiquitous smart devices and network functions providing emerging network services efficiently and optimally through building many network connections based on WiFi, LTE/5G, Ethernet,
Bo He, Jingyu Wang, Q. Qi, Haifeng Sun, J. Liao, Chunning Du, Xiang Yang, Zhu Han   +7 more
semanticscholar   +1 more source

Congestion control techniques in networking

2016 International Conference on Communication and Signal Processing (ICCSP), 2016
Mostly real time applications want rapid data transmission in the network. The performance can be ensured by mechanisms which gives performance by shaping and policing of packet traffic. Further improve the performance of the network by fair allocation of resources.
K M Archana Patel, Richa Martolia
openaire   +1 more source

Multi-Path Selection and Congestion Control for NDN: An Online Learning Approach

IEEE Transactions on Network and Service Management, 2021
In Named Data Networking (NDN) architecture, data can be obtained from multiple content sources (i.e., producers or caching nodes) with multiple paths, making the traditional end-to-end (i.e., TCP/IP) congestion control scheme invalid.
Fan Wu, Wang Yang, Muhua Sun, Ju Ren, Feng Lyu   +4 more
semanticscholar   +1 more source

Congestion Control in InfiniBand Networks

13th Symposium on High Performance Interconnects (HOTI'05), 2006
Driving computer interconnection networks closer to saturation minimizes cost/performance and power consumption, but requires efficient congestion control to prevent catastrophic performance degradation during traffic peaks or "hot spot" traffic patterns.
M. Gusat, D. Craddock, W. Denzel, T. Engbersen, N. Ni, G. Pfister, W. Rooney, J. Duato   +7 more
openaire   +1 more source