Analysis of the increase and decrease algorithms for congestion avoidance in computer networks
Computer Networks and ISDN Systems
Feedback control of congestion in packet switching networks: the case of a single congested node
IEEE/ACM Transactions on Networking (TON)
A control-theoretic approach to the design of an explicit rate controller for ABR service
IEEE/ACM Transactions on Networking (TON)
Analysis and design of an adaptive virtual queue (AVQ) algorithm for active queue management
Proceedings of the 2001 conference on Applications, technologies, architectures, and protocols for computer communications
Automatic Control Systems
Controlling high bandwidth aggregates in the network
ACM SIGCOMM Computer Communication Review
Congestion control for high bandwidth-delay product networks
Proceedings of the 2002 conference on Applications, technologies, architectures, and protocols for computer communications
Optimization problems in congestion control
FOCS '00 Proceedings of the 41st Annual Symposium on Foundations of Computer Science
Controlling High-Bandwidth Flows at the Congested Router
ICNP '01 Proceedings of the Ninth International Conference on Network Protocols
Network border patrol: preventing congestion collapse and promoting fairness in the internet
IEEE/ACM Transactions on Networking (TON)
IEEE/ACM Transactions on Networking (TON)
You Can Run, But You Can't Hide: An Effective Statistical Methodology to Trace Back DDoS Attackers
IEEE Transactions on Parallel and Distributed Systems
OPERA: An open-source extensible router architecture for adding new network services and protocols
Journal of Systems and Software
Small-world overlay P2P networks: construction, management and handling of dynamic flash crowds
Computer Networks: The International Journal of Computer and Telecommunications Networking
An Efficient Distributed Algorithm to Identify and Traceback DDoS Traffic
The Computer Journal
Distributed dynamic speed scaling
INFOCOM'10 Proceedings of the 29th conference on Information communications
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Public-access networks need to handle persistent congestion and overload caused by high bandwidth aggregates that may occur during times of flooding-based DDoS attacks or flash crowds. The often unpredictable nature of these two activities can severely degrade server performance. Legitimate user requests also suffer considerably when traffic from many different sources aggregates inside the network and causes congestion. This paper studies a family of algorithms that "proactively” protect a server from overload by installing rate throttles in a set of upstream routers. Based on an optimal control setting, we propose algorithms that achieve throttling in a distributed and fair manner by taking important performance metrics into consideration, such as minimizing overall load variations. Using ns-2 simulations, we show that our proposed algorithms 1) are highly adaptive by avoiding unnecessary parameter configuration, 2) provide max-min fairness for any number of throttling routers, 3) respond very quickly to network changes, 4) are extremely robust against extrinsic factors beyond the system control, and 5) are stable under given delay bounds.