Adaptive lexicographic optimization in multi-class M/GI/1 queues
Mathematics of Operations Research
Problems of adaptive optimization in multiclass M/GI/1 queues with Bernoulli feedback
Mathematics of Operations Research
An adaptive congestion control scheme for real time packet video transport
IEEE/ACM Transactions on Networking (TON)
RCBR: a simple and efficient service for multiple time-scale traffic
IEEE/ACM Transactions on Networking (TON)
Rate adaptation schemes in networks with mobile hosts
MobiCom '98 Proceedings of the 4th annual ACM/IEEE international conference on Mobile computing and networking
SAVE: an algorithm for smoothed adaptive video over explicit rate networks
IEEE/ACM Transactions on Networking (TON)
Transporting compressed video over ATM networks with explicit-rate feedback control
IEEE/ACM Transactions on Networking (TON)
Fair end-to-end window-based congestion control
IEEE/ACM Transactions on Networking (TON)
Multiservice Loss Models for Broadband Telecommunication Networks
Multiservice Loss Models for Broadband Telecommunication Networks
Bandwidth Adaptation Algorithms for Adaptive Multimedia Services in Mobile Cellular Networks
Wireless Personal Communications: An International Journal
Channel sharing by rate-adaptive streaming applications
Performance Evaluation
Rate adaptive multimedia streams: optimization and admission control
IEEE/ACM Transactions on Networking (TON)
An adaptive framework for addressing fairness issues in wireless networks
Computer Communications
A common framework for rate and distortion based scaling of highly scalable compressed video
IEEE Transactions on Circuits and Systems for Video Technology
Journal of Network and Systems Management
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We consider the problem of channel sharing by rate adaptive streams belonging to various classes. The performance metric per class is the mean bandwidth allocated to connections in the class possibly scaled by appropriate factors. We first provide a bandwidth adaptation policy that maximizes a linear combination of class performance metrics; then, we use this result to characterize the region where the class performance metrics lie under any bandwidth adaptation policy. Based on the results above we use stochastic approximation techniques to provide a policy that optimizes a combination of concave rewards associated with class performance metrics. Finally, we propose a modification of the optimal policy to account for the case where connection holding times are unknown, and study its performance through simulations.