A Conceptual Framework for Bio-Inspired Congestion Control In Communication Networks

2006 ◽  
Author(s):  
Morteza Analoui ◽  
Shahram Jamali
Keyword(s):  
Congestion Control ◽  
Conceptual Framework ◽  
Communication Networks

mReno: a practical multipath congestion control for communication networks

Computing ◽  
2013 ◽  
Vol 96 (3) ◽  
pp. 189-205 ◽  
Author(s):  
Phuong Luu Vo ◽  
Tuan Anh Le ◽  
Sungwon Lee ◽  
Choong Seon Hong ◽  
Byeongsik Kim ◽  
...  
Keyword(s):  
Congestion Control ◽  
Communication Networks

Legal Issues Related to Combating Cybercrime: Experience of the Republic of Kazakhstan

2018 ◽  
Vol 8 (7) ◽  
pp. 2286
Author(s):  
Timur Keldeshevich YERJANOV ◽  
Zulfiya Mazhitovna BAIMAGAMBETOVA ◽  
Aliya Mazhitovna SERALIEVA ◽  
Zhanat ZHAILAU ◽  
Zhuldyz Talgatovna SAIRAMBAEVA
Keyword(s):  
Conceptual Framework ◽  
Communication Networks ◽  
Legal Issues ◽  
Global Information ◽  
Social Experiment ◽  
Cyber Terrorism ◽  
Information And Communication ◽  
The Republic ◽  
Universal Definition ◽  
Definition Of

This paper deals with the legal issues related to combating cybercrime in the global information and communication networks through comparative analysis of relevant legislation of the Republic of Kazakhstan and Western European countries. The purpose of this research is to identify the specific features of present cybercrime, to develop a conceptual framework, to specify new forms of cybercrime and to find the main directions in combating cybercrime. The research methodology was based on dialectical, comparative legal, sociological, system-structural and statistical methods, as well as on social experiment. The study gave the possibility to disclose specific features of cybercrime, provided a universal definition of cybercrime, which can be used in international conventions as well as in international criminal investigation. The study highlighted two new types of cybercrime - cyber-terrorism and identity theft with the view of committing crimes, which could be included in the Convention on Cybercrime. The authors of this study developed a universal conceptual framework that can be used in international legal instruments and international cooperation in combating cybercrime and formed a unified approach to address some legal issues related to cybercrime in the global information and communication networks.

scholarly journals Congestion Control and Traffic Scheduling for Collaborative Crowdsourcing in SDN Enabled Mobile Wireless Networks

2018 ◽  
Vol 2018 ◽  
pp. 1-11
Author(s):  
Dawei Shen ◽  
Wei Yan ◽  
Yuhuai Peng ◽  
Yanhua Fu ◽  
Qingxu Deng
Keyword(s):  
Wireless Networks ◽  
Load Balancing ◽  
Congestion Control ◽  
Communication Networks ◽  
Mobile Networks ◽  
Scheduling Algorithm ◽  
Mobile Wireless Networks ◽  
Traffic Scheduling ◽  
Mobile Wireless ◽  
Artificial Fish Swarm Algorithm

Currently, a number of crowdsourcing-based mobile applications have been implemented in mobile networks and Internet of Things (IoT), targeted at real-time services and recommendation. The frequent information exchanges and data transmissions in collaborative crowdsourcing are heavily injected into the current communication networks, which poses great challenges for Mobile Wireless Networks (MWN). This paper focuses on the traffic scheduling and load balancing problem in software-defined MWN and designs a hybrid routing forwarding scheme as well as a congestion control algorithm to achieve the feasible solution. The traffic scheduling algorithm first sorts the tasks in an ascending order depending on the amount of tasks and then solves it using a greedy scheme. In the proposed congestion control scheme, the traffic assignment is first transformed into a multiknapsack problem, and then the Artificial Fish Swarm Algorithm (AFSA) is utilized to solve this problem. Numerical results on practical network topology reveal that, compared with the traditional schemes, the proposed congestion control and traffic scheduling schemes can achieve load balancing, reduce the probability of network congestion, and improve the network throughput.

A Robust Adaptive Congestion Control for Communication Networks with Time-Varying Delays

2006 ◽  
Author(s):  
Antonio Pietrabissa ◽  
Francesco Delli Priscoli ◽  
Andrea Fiaschetti ◽  
Federico Di Paolo
Keyword(s):  
Congestion Control ◽  
Communication Networks ◽  
Time Varying ◽  
Robust Adaptive ◽  
Adaptive Congestion Control

scholarly journals Learning to Harness Bandwidth with Multipath Congestion Control and Scheduling

2021 ◽  
Author(s):  
Shiva Raj Pokhrel ◽  
Anwar Walid
Keyword(s):  
Congestion Control ◽  
Communication Networks ◽  
Packet Scheduling ◽  
Short Term Memory ◽  
Available Bandwidth ◽  
Network Characteristics ◽  
Q Learning ◽  
Multipath Tcp ◽  
Wireline Communication ◽  
Experience Replay

Multipath TCP (MPTCP) has emerged as a facilitator for harnessing and pooling available bandwidth in wireless/wireline communication networks and in data centers. Existing implementations of MPTCP such as, Linked Increase Algorithm (LIA), Opportunistic LIA (OLIA) and BAlanced LInked Adaptation (BALIA) include separate algorithms for congestion control and packet scheduling, with pre-selected control parameters. We propose a Deep Q-Learning (DQL) based framework for joint congestion control and packet scheduling for MPTCP. At the heart of the solution is an intelligent agent for interface, learning and actuation, which learns from experience optimal congestion control and scheduling mechanism using DQL techniques with policy gradients. We provide a rigorous stability analysis of system dynamics which provides important practical design insights. In addition, the proposed DQL-MPTCPalgorithm utilizes the ‘recurrent neural network’ and integrates it with ‘long short-term memory’ for continuously i) learning dynamic behavior of subflows (paths) and ii) responding promptly to their behavior using prioritized experience replay. With extensive emulations, we show that the proposed DQL-based MPTCP algorithm outperforms MPTCP LIA, OLIA and BALIA algorithms. Moreover, the DQL-MPTCP algorithm is robust to time-varying network characteristics and provides dynamic exploration and exploitation of paths. The revised version is to appear in IEEE Trans. in Mobile Computing soon.<br>

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