Random early detection gateways for congestion avoidance
IEEE/ACM Transactions on Networking (TON)
Explicit allocation of best-effort packet delivery service
IEEE/ACM Transactions on Networking (TON)
Fluid-based analysis of a network of AQM routers supporting TCP flows with an application to RED
Proceedings of the conference on Applications, Technologies, Architectures, and Protocols for Computer Communication
A control theoretic approach to active queue management
Computer Networks: The International Journal of Computer and Telecommunications Networking
Prioritized resource allocation for stressed networks
IEEE/ACM Transactions on Networking (TON)
Controlling High-Bandwidth Flows at the Congested Router
ICNP '01 Proceedings of the Ninth International Conference on Network Protocols
Standards initiatives for Emergency Telecommunications Service (ETS)
IEEE Communications Magazine
IEEE Network: The Magazine of Global Internetworking
Government preparedness: Using simulation to prepare for a terrorist attack
Computers and Operations Research
On the impact of active queue management on VoIP quality of service
Computer Communications
IEEE Journal on Selected Areas in Communications
Analytical modeling of a multi-queue nodes network router
International Journal of Automation and Computing
Evaluating emergency response capacity by fuzzy AHP and 2-tuple fuzzy linguistic approach
Expert Systems with Applications: An International Journal
ISIICT'09 Proceedings of the Third international conference on Innovation and Information and Communication Technology
| Hi-index | 0.25 |
Multiple average-multiple threshold (MAMT) active queue management (AQM) is proposed as a solution for providing available and dependable service to traffic from emergency users after disasters. MAMT is a simple but effective approach that can be applied at strategic network locations, where heavy congestion is anticipated. It can provide low loss to emergency packets while dropping non-emergency packets only as much as necessary. Fluid flow analysis and simulation is conducted to provide guidelines for proper MAMT design, especially regarding the queue size and averaging parameters that are most important. This work considers non-responsive traffic exclusively, since non-responsive traffic types are currently getting the most attention from emergency management organizations. Plus, very little work has been performed regarding AQM and non-responsive traffic. It demonstrates queue oscillation problems that previously may have been attributed to the interactions between TCP and AQM, but which are actually inherent to AQM and can be greatly reduced with proper parameter settings. MAMT is shown to perform well over a range of loads and can effectively protect emergency traffic from surges in non-emergency traffic.