Fair end-to-end window-based congestion control
IEEE/ACM Transactions on Networking (TON)
Maximizing Queueing Network Utility Subject to Stability: Greedy Primal-Dual Algorithm
Queueing Systems: Theory and Applications
Greedy primal-dual algorithm for dynamic resource allocation in complex networks
Queueing Systems: Theory and Applications
Horizon: balancing tcp over multiple paths in wireless mesh network
Proceedings of the 14th ACM international conference on Mobile computing and networking
Large number of queues in tandem: Scaling properties under back-pressure algorithm
Queueing Systems: Theory and Applications
Resource pricing and the evolution of congestion control
Automatica (Journal of IFAC)
Joint congestion control, routing, and MAC for stability and fairness in wireless networks
IEEE Journal on Selected Areas in Communications
Back-pressure-based packet-by-packet adaptive routing in communication networks
IEEE/ACM Transactions on Networking (TON)
Throughput-optimal scheduling in multihop wireless networks without per-flow information
IEEE/ACM Transactions on Networking (TON)
Delay-based back-pressure scheduling in multihop wireless networks
IEEE/ACM Transactions on Networking (TON)
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The back-pressure algorithm is a well-known throughput-optimal algorithm. However, its implementation requires that each node has to maintain a separate queue for each commodity in the network, and only one queue is served at a time. This fact may lead to a poor delay performance even when the traffic load is not close to network capacity. Also, since the number of commodities in the network is usually very large, the queueing data structure that has to be maintained at each node is respectively complex. In this paper, we present a solution to address both of these issues in the case of a fixed-routing network scenario where the route of each flow is chosen upon arrival. Our proposed architecture allows each node to maintain only per-neighbor queues and, moreover, improves the delay performance of the back-pressure algorithm.