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• W2964223742 abstract "QoS-aware networking applications such as real-time streaming and video surveillance systems require nearly fixed average end-to-end delay over long periods to communicate efficiently, although may tolerate some delay variations in short periods. This variability exhibits complex dynamics that makes rate control of such applications a formidable task. This paper addresses rate allocation for heterogeneous QoS-aware applications that preserves the long-term average end-to-end delay constraint while, similar to Dynamic Network Utility Maximization (DNUM), strives to achieve the maximum network utility aggregated over a fixed time interval. Since capturing temporal dynamics in QoS requirements of sources is allowed in our system model, we incorporate a novel time-coupling constraint in which delay-sensitivity of sources is considered such that a certain end-to-end average delay for each source over a pre-specified time interval is satisfied. We propose DA-DNUM algorithm, as a dual-based solution, which allocates source rates for the next time interval in a distributed fashion, given the knowledge of network parameters in advance. Through numerical experiments, we show that DA-DNUM gains higher average link utilization and a wider range of feasible scenarios in comparison with the best, to our knowledge, rate control schemes that may guarantee such constraints on delay." @default.
• W2964223742 created "2019-07-30" @default.
• W2964223742 creator A5046146251 @default.
• W2964223742 creator A5064409629 @default.
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• W2964223742 date "2015-12-01" @default.
• W2964223742 modified "2023-10-04" @default.
• W2964223742 title "Utility-optimal dynamic rate allocation under average end-to-end delay requirements" @default.
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• W2964223742 doi "https://doi.org/10.1109/cdc.2015.7402975" @default.
• W2964223742 hasPublicationYear "2015" @default.
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