scholarly journals Network-Cognitive Traffic Control: A Fluidity-Aware On-Chip Communication

Electronics ◽  
2020 ◽  
Vol 9 (10) ◽  
pp. 1667
Author(s):  
Wen-Chung Tsai ◽  
Sao-Jie Chen ◽  
Yu-Hen Hu ◽  
Mao-Lun Chiang
Keyword(s):  
Flow Control ◽  
Congestion Control ◽  
Traffic Control ◽  
Traffic Congestion ◽  
Performance Enhancement ◽  
Traffic Patterns ◽  
Control Scheme ◽  
Significant Performance ◽  
On Chip ◽  
Fill Level

A novel network-on-chip (NoC) integrated congestion control and flow control scheme, called Network-Cognitive Traffic Control (NCogn.TC), is proposed. This scheme is cognizant of the fluidity levels in on-chip router buffers and it uses this measurement to prioritize the forwarding of flits in the buffers. This preferential forwarding policy is based on the observation that flits with higher levels of fluidity are likely to arrive at their destinations faster, because they may require fewer routing steps. By giving higher priority to forward flits in high-fluidity buffers, scarce buffer resources may be freed-up sooner in order to relieve on-going traffic congestion. In this work, a buffer cognition monitor is developed to rapidly estimate the buffer fluidity level. An integrated congestion control and flow control algorithm is proposed based on the estimated buffer fluidity level. Tested with both synthetic traffic patterns as well as industry benchmark traffic patterns, significant performance enhancement has been observed when the proposed Network-Cognitive Traffic Control is compared against conventional traffic control algorithms that only monitor the buffer fill level.

scholarly journals Research on an intelligent traffic congestion control model

2021 ◽  
Vol 336 ◽  
pp. 07001
Author(s):  
Bo Xu ◽  
Jianbing Chen ◽  
Wei Tang
Keyword(s):  
Congestion Control ◽  
Traffic Control ◽  
Traffic Congestion ◽  
Control Model ◽  
Status Quo ◽  
Key Technology ◽  
Related Research ◽  
The Status ◽  
Traffic Congestion Control

This paper summarizes the status quo of intelligent traffic congestion control and vehicle following on traffic road, puts forward the key technology model and its content of intelligent traffic control, elaborates the model and content in detail, and summarizes the research done, hoping to provide reference for the related research on intelligent traffic congestion control.

scholarly journals An open-loop flow control scheme based on the accurate global information of on-chip communication

2008 ◽  
Author(s):  
Woo-Cheol Kwon ◽  
Sung-Min Hong ◽  
Sungjoo Yoo ◽  
Byeong Min ◽  
Kyu-Myung Choi ◽  
...  
Keyword(s):  
Flow Control ◽  
Open Loop ◽  
Global Information ◽  
Control Scheme ◽  
On Chip

scholarly journals An Open-Loop Flow Control Scheme Based on the Accurate Global Information of On-Chip Communication

2008 ◽  
Author(s):  
Woo-Cheol Kwon ◽  
Sung-Min Hong ◽  
Sungjoo Yoo ◽  
Byeong Min ◽  
Kyu-Myung Choi ◽  
...  
Keyword(s):  
Flow Control ◽  
Open Loop ◽  
Global Information ◽  
Control Scheme ◽  
On Chip

STOCHASTIC MODELING AND ANALYSIS OF AN ACTIVE CONGESTION CONTROL PROTOCOL UNDER DIFFERENTIATED BURSTY TRAFFIC

2007 ◽  
Vol 08 (04) ◽  
pp. 369-385
Author(s):  
LAN WANG ◽  
GEYONG MIN ◽  
IRFAN AWAN
Keyword(s):  
Congestion Control ◽  
Traffic Congestion ◽  
Queue Length ◽  
Injection Rate ◽  
Performance Model ◽  
System Capacity ◽  
Bursty Traffic ◽  
Modeling And Analysis ◽  
Control Scheme ◽  
The Individual

Traffic congestion degrades not only the user-perceived Quality-of-Service (QoS), such as leading to high packet loss rates, low throughput, and increased delays, but also causes excessive energy consumption in energy-sensitive systems (e.g., wireless sensor networks). A simple way to detect congestion is to monitor and measure queue length in network nodes or routers. This paper develops an analytical performance model for a finite capacity queueing system with an enhanced Random Early Detection (RED) congestion control scheme based on the instantaneous queue length in the presence of differentiated classes of bursty traffic. The aggregate traffic is captured by the superposition of 2-state Markov Modulated Poisson Processes (MMPP). The individual threshold is assigned to each traffic class in order to differentially control traffic injection rate. The accuracy of this model is verified by comparing the analytical results against those obtained from simulation experiments. The model is adopted to investigate the effects of traffic burstiness and system capacity on the performance of the congestion control scheme.

scholarly journals Pre-Allocation Based Flow Control Scheme for Networks-On-Chip

2009 ◽  
Vol E92-D (3) ◽  
pp. 538-540 ◽  
Author(s):  
Shijun LIN ◽  
Li SU ◽  
Haibo SU ◽  
Depeng JIN ◽  
Lieguang ZENG
Keyword(s):  
Flow Control ◽  
Networks On Chip ◽  
Control Scheme ◽  
On Chip

scholarly journals Urban road traffic flow control under incidental congestion as a function of accident duration

Open Physics ◽  
2018 ◽  
Vol 16 (1) ◽  
pp. 1085-1093
Author(s):  
Yang Xu ◽  
Duojia Zhang ◽  
Ahmad Jalal Khan Chowdhury
Keyword(s):  
Flow Control ◽  
Traffic Flow ◽  
Traffic Congestion ◽  
Road Traffic ◽  
Abrupt Increase ◽  
Urban Road ◽  
Catastrophe Model ◽  
Traffic Capacity ◽  
Control Scheme

Abstract An abrupt increase in urban road traffic flow caused by incidental congestion is considered. The residual traffic capacity varies in different lanes after an accident, and the influence of accident duration on traffic flow is taken into account. The swallowtail catastrophe model was built based on catastrophe theory. The critical state of traffic congestion under incidental congestion was analyzed using this model, and a traffic flow control scheme is proposed with the goal of maximizing the traffic capacity. Finally, the operational state of traffic flow under different scenarios is analyzed through case study and the feasibility of the model is validated.

Reliability Analysis of Window Flow Control Based on Packet Transmission Interval with ECN Considering Packet Loss

2020 ◽  
Vol 28 (01) ◽  
pp. 2150001
Author(s):  
Mitsutaka Kimura ◽  
Mitsuhiro Imaizumi ◽  
Toshio Nakagawa
Keyword(s):  
Flow Control ◽  
Congestion Control ◽  
Packet Loss ◽  
High Performance ◽  
Window Size ◽  
Packet Transmission ◽  
Network Congestion ◽  
Constant Number ◽  
Control Scheme ◽  
Window Flow Control

This paper discusses the reliability model of a window flow control scheme using High-performance and Flexible Protocol (HpFP) with Explicit Congestion Notification (ECN) considering packet loss. HpFP is an important techniques as congestion control scheme in a radio environment and video stream communication. HpFP has the character that throughput is adjusted by changing a packet transmission interval. We have already discussed some reliability models of a window flow control scheme based on a packet transmission interval. In these models, if some packets has failed at a first-time transmission, the packet transmission interval is prolonged. On the other hand, the server checks the state of network congestion by ECN bit. That is, if ECN bit has been set during connection, a packet transmission interval is also prolonged. We consider an extended stochastic model of a window flow control scheme based on a packet transmission interval with ECN considering packet loss. That is, the server checks ECN bit during connection and if the server detects the network congestion, the server executes congestion control that a packet transmission interval is prolonged. Thereafter, if a constant number of the retransmission has failed, or a constant number of packets has failed, the server checks it again. We derive the mean time until packet transmissions succeed, and discuss analytically a window size which maximizes the amount of packets per unit of mean transmission time.

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