The Power of Two Choices in Randomized Load Balancing
IEEE Transactions on Parallel and Distributed Systems
Stability of end-to-end algorithms for joint routing and rate control
ACM SIGCOMM Computer Communication Review
Fluid models of integrated traffic and multipath routing
Queueing Systems: Theory and Applications
Stability of multi-path dual congestion control algorithms
valuetools '06 Proceedings of the 1st international conference on Performance evaluation methodolgies and tools
Integrating streaming and file-transfer Internet traffic: fluid and diffusion approximations
Queueing Systems: Theory and Applications
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In this paper we study coordinated multipath routing at the flow-level in networks with routes of length one. As a first step the static case is considered, in which the number of flows is fixed. A clustering pattern in the rate allocation is identified, and we describe a finite algorithm to find this rate allocation and the clustering explicitly. Then we consider the dynamic model, in which there are stochastic arrivals and departures; we do so for models with both streaming and elastic traffic, and where a peak-rate is imposed on the elastic flows (to be thought of as an access rate). Lacking explicit expressions for the equilibrium distribution of the Markov process under consideration, we study its fluid and diffusion limits; in particular, we prove the uniqueness of the equilibrium point. We demonstrate through a specific example how the diffusion limit can be identified; it also reveals structural results about the clustering pattern when the minimal rate is very small and the network grows large.