There was a lot of interest in multicast communications within this decade as it is an essential part of many network applications, e.g. video-on-demand, etc. In this paper, we model flow rate allocation for applicati...
详细信息
ISBN:
(纸本)9780769537474
There was a lot of interest in multicast communications within this decade as it is an essential part of many network applications, e.g. video-on-demand, etc. In this paper, we model flow rate allocation for application overlay as a utility based optimization problem constrained by capacity limitations of physical links and overlay constraints. The optimization flow control presented here addresses not only concave utility functions which are suitable for applications with elastic traffics, but also especial forms of non-concave utilities that are used to model applications with inelastic traffics, which might demand for hard delay and rate requirements. We then propose an iterative algorithm as the solution to the optimization flow control problem and investigate especial forms of non-concave utilities that are supported by this model. Simulation results show that the iterative algorithm can be used to deal with sigmoidal-like utilities which are useful for modeling real-time applications such as live streaming.
In this Comments, an error in Low and Lapsley's article [1] is pointed out. Because of this error, the proof of the Theorem 2 presented in the article is incomplete and some assessments are wrong. In the second pa...
详细信息
In this Comments, an error in Low and Lapsley's article [1] is pointed out. Because of this error, the proof of the Theorem 2 presented in the article is incomplete and some assessments are wrong. In the second part of this Comments, the author proposes a correction to this proof.
We propose an optimization approach to flowcontrol where the objective is to maximize the aggregate source utility over their transmission rates. We view network links and sources as processors of a distributed compu...
详细信息
We propose an optimization approach to flowcontrol where the objective is to maximize the aggregate source utility over their transmission rates. We view network links and sources as processors of a distributed computation system to solve the dual problem using a gradient projection algorithm;In this system, sources select transmission rates that maximize their own benefits, utility minus bandwidth cost, and network links adjust bandwidth prices to coordinate the sources' decisions. We allow feedback delays to be different, substantial, and time varying, and links and sources to update at different times and with different frequencies, We provide asynchronous distributed algorithms and prove their convergence in a static environment. We present measurements obtained from a preliminary prototype to illustrate the convergence of the algorithm in a slowly time-varying environment. We discuss its fairness property.
暂无评论