Optimization flow control. I. Basic algorithm and convergence
نویسندگان
چکیده
منابع مشابه
ODtimization Flow Control-I: Basic Algorithm I and Convergence
We propose an optimization approach to flow control 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 ban...
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| We propose an optimization approach to ow control 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 gradient projection algorithm. In this system sources select transmission rates that maximize their own beneets, utility minus bandwid...
متن کاملCorrection to Low and Lapsley's article "Optimization Flow Control, I: Basic Algorithm and Convergence"
In the note 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
متن کاملErrors in Low and Lapsley's article "Optimization Flow Control, I: Basic Algorithm and Convergence"
In the note two errors in Low and Lapsley's article [1] are shown. Because of these errors the proofs of both theorems presented in the article are incomplete and some assessments are wrong. In the proof of Lemma 3 (at the beginning) on the page 871 it is written: " Given any p, q ≥ 0, using Taylor theorem and Lemma 2 we have ∇D(q)−∇D(p) = ∇ 2 D(w)(q −p) = [...] for some w = tp + (1 − t)q ≥ 0, ...
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We proposed earlier an optimization approach to reactive ow control where the objective of the control is to maximize the total utility of all sources over their transmission rates. The control mechanism is derived as a gradient projection algorithm to solve the dual problem. In this paper we extend the algorithm to a scaled gradient projection. The diagonal scaling matrix approximates the diag...
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ژورنال
عنوان ژورنال: IEEE/ACM Transactions on Networking
سال: 1999
ISSN: 1063-6692
DOI: 10.1109/90.811451