Network aware applications react to changing network conditions, offering potential quality of service differentiation without network support. We describe an application level approach to designing a low priority service \u2014 one that is \u2018lower than best-effort\u2019 in the context of the Internet. Such applications are appropriate for background \ufb01le transfers, such as OS updates. We use a receive window control to limit the transfer rate of the application, and the optimal rate is determined by detecting a change-point. We motivate this joint control-estimation problem by considering a \ufb02uid-based optimisation framework, and describe practical solutions, based on stochastic approximation and binary search techniques. Simulation results demonstrate the effectiveness of the approach.<\/p>\n","protected":false},"excerpt":{"rendered":"
Network aware applications react to changing network conditions, offering potential quality of service differentiation without network support. We describe an application level approach to designing a low priority service \u2014 one that is \u2018lower than best-effort\u2019 in the context of the Internet. Such applications are appropriate for background \ufb01le transfers, such as OS updates. 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