Data networks
Analysis of the increase and decrease algorithms for congestion avoidance in computer networks
Computer Networks and ISDN Systems
Random early detection gateways for congestion avoidance
IEEE/ACM Transactions on Networking (TON)
TCP Vegas: new techniques for congestion detection and avoidance
SIGCOMM '94 Proceedings of the conference on Communications architectures, protocols and applications
\tau-AIMD for Asynchronous Receiver Feedback
ISCC '03 Proceedings of the Eighth IEEE International Symposium on Computers and Communications
General AIMD congestion control
ICNP '00 Proceedings of the 2000 International Conference on Network Protocols
TCP-Friendly SIMD Congestion Control and Its Convergence Behavior
ICNP '01 Proceedings of the Ninth International Conference on Network Protocols
Exploiting the efficiency and fairness potential of AIMD-based congestion avoidance and control
Computer Networks: The International Journal of Computer and Telecommunications Networking
Scalable TCP: improving performance in highspeed wide area networks
ACM SIGCOMM Computer Communication Review
FAST TCP: motivation, architecture, algorithms, performance
IEEE/ACM Transactions on Networking (TON)
Why TCP timers (still) don't work well
Computer Networks: The International Journal of Computer and Telecommunications Networking
TCP smoothness and window adjustment strategy
IEEE Transactions on Multimedia
The dynamics of responsiveness and smoothness in heterogeneous networks
IEEE Journal on Selected Areas in Communications
NETWORKING '09 Proceedings of the 8th International IFIP-TC 6 Networking Conference
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We propose AIRA, an Additive Increase Rate Accelerator. AIRA extends AIMD functionality towards adaptive increase rates, depending on the level of network contention and bandwidth availability. In this context, acceleration grows when resource availability is detected by goodput/throughput measurements and slows down when increased throughput does not translate into increased goodput as well. Thus, the gap between throughput and goodput determines the behavior of the rate accelerator. We study the properties of the extended model and propose, based on analysis and simulation, appropriate rate decrease and increase rules. Furthermore, we study conditional rules to guarantee operational success even in the presence of symptomatic, extra-ordinary events. We show that analytical rules can be derived for accelerating, either positively or negatively, the increase rate of AIMD in accordance with network dynamics. Indeed, we find that the ''blind'', fixed Additive Increase rule can become an obstacle for the performance of TCP, especially when contention increases. Instead, sophisticated, contention-aware additive increase rates may preserve system stability and reduce retransmission effort, without reducing the goodput performance of TCP.