Exponential Convergence Flow Control Model for Congestion Control

Author(s):  
Weirong Liu ◽  
Jianqiang Yi ◽  
Dongbin Zhao ◽  
John T. Wen
2010 ◽  
Vol 32 (2) ◽  
pp. 267-271 ◽  
Author(s):  
Hui-bin Feng ◽  
Shun-yi Zhang ◽  
Chao Liu ◽  
Jue-fu Liu

Author(s):  
SHIH-CHIEN CHOU ◽  
YING-KAI WEN

Controlling information flows to prevent information leakage within an application is essential. According to the maturity of object-oriented techniques, many models were developed for the control in object-oriented systems. Since objects may be dynamically instantiated during program execution, controlling information flows among objects is difficult. Our research revealed that association is useful in the control. We developed an association-based information flow control model for object-oriented systems. It precisely controls information flows among objects through associations and constraints. It also offers features such as controlling method invocation through argument sensitivity, allowing declassification, allowing purpose-oriented method invocation, and precisely controlling write access. This paper proposes the model and the implementation of the model, which is composed of the language AbFlow (association-based flow) and its supporting environment.


2021 ◽  
Vol 336 ◽  
pp. 07001
Author(s):  
Bo Xu ◽  
Jianbing Chen ◽  
Wei Tang

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.


2014 ◽  
Vol 144 ◽  
pp. 159-168 ◽  
Author(s):  
Dawei Ding ◽  
Xuemei Qin ◽  
Tingting Wu ◽  
Nian Wang ◽  
Dong Liang

Sign in / Sign up

Export Citation Format

Share Document