The impact of multicast layering on network fairness
Proceedings of the conference on Applications, technologies, architectures, and protocols for computer communication
TCP is max-plus linear and what it tells us on its throughput
Proceedings of the conference on Applications, Technologies, Architectures, and Protocols for Computer Communication
Performance Guarantees in Communication Networks
Performance Guarantees in Communication Networks
ACM SIGCOMM Computer Communication Review
Large scale content distribution protocols
ACM SIGCOMM Computer Communication Review
Self-aware networks and quality of service
ICANN/ICONIP'03 Proceedings of the 2003 joint international conference on Artificial neural networks and neural information processing
Sources of instability in data center multicast
Proceedings of the 4th International Workshop on Large Scale Distributed Systems and Middleware
Modeling network coded TCP throughput: a simple model and its validation
Proceedings of the 5th International ICST Conference on Performance Evaluation Methodologies and Tools
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We study the impact of random queueing delays stemming from traffic variability on the performance of a multicast session. With a simple analytical model, we analyze the throughput degradation within a multicast (one-to-many) tree under TCP-like congestion and flow control. We use the (max,plus) formalism together with methods based on stochastic comparison (association and convex ordering) and on the theory of extremes to prove various properties of the throughput. We first prove that the throughput predicted by a deterministic model is systematically optimistic. In the presence of light-tailed random delays, we show that the throughput decreases according to the inverse of the logarithm of the number of receivers. We find analytically an upper and a lower bound for the throughput degradation. Within these bounds, we characterize the degradation which is obtained for various tree topologies. In particular, we observe that a class of trees commonly found in IP multicast sessions is significantly more sensitive to traffic variability than other topologies.