NDLI: IPA gradient estimation for loss measures in networks of continuous flow models

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IPA gradient estimation for loss measures in networks of continuous flow models

Content Provider	IEEE Xplore Digital Library
Author	Wardi, Y.
Copyright Year	1994
Description	Author affiliation: Georgia Institute of Technology (Wardi, Y.)
Abstract	This talk considers loss-related performance measures in high-speed networks from the standpoint of gradient estimation by the Infinitesimal Perturbation Analysis (IPA) technique. The underlying model consists of an interconnected system of continuous flow models (CFMs) processing data in a fluid form, and the performance measures of interest are related to the average loss volume caused by buffer overflow over a period of time. The main results presented are: (i) an easily implementable, distributed algorithm for computing the IPA derivative, and (ii) analysis of the algorithm that proves the unbiasedness of the IPA estimator. 'Me distributed algorithm can naturally be implemented in real-time at a network's nodes, and hence potentially can be used for on-line control. The analysis highlights some of the special structure of CFMs, and suggests a general scope of 1PRs unbiasedness, far beyond the specific performance measures discussed. The talk will conclude with remarks about the potential applicability of IPA as a design and analysis tool for networks of CFMs.
File Size	44203
File Format	PDF
DOI	10.1109/CAMAD.1994.765627
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	1994-04-24
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Intelligent networks Fluid flow measurement High-speed networks Volume measurement Interconnected systems Loss measurement Performance loss Time measurement Performance analysis Distributed algorithms
Content Type	Text
Resource Type	Article

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