Download Advances in Communication Control Networks by Christos Panayiotou, Christos G. Cassandras (auth.), Sophie PDF

By Christos Panayiotou, Christos G. Cassandras (auth.), Sophie Tarbouriech, Chaouki T. Abdallah, John Chiasson (eds.)

The sector of conversation and machine networks has turn into a truly lively box of analysis through the regulate platforms neighborhood within the final years. instruments from convex optimization and regulate thought are enjoying expanding roles in effective community usage, reasonable source allocation, and communique hold up lodging and the sector of Networked keep watch over platforms is speedy changing into a mainstay of regulate platforms examine and functions. This rigorously edited ebook brings jointly solicited contributions from specialists within the a number of parts of communication/control networks touching on either networks less than regulate (control in networks) in addition to networked keep an eye on structures (control over networks). the purpose of this ebook is to opposite the fashion of fragmentation and specialization in verbal exchange keep an eye on Networks connecting numerous interdisciplinary study fields together with keep an eye on, conversation, utilized arithmetic and computing device science.

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The overall gain parameter ηr (t) is proportional to the current window size: the larger the window, the more aggressive the response. The gain κr (t) on the differential term is proportional to the ratio of round trip time to end-to-end queueing delay of source r, and serves as a normalization to q˙r (t). The additional differential term κr (t)q˙r (t) anticipates the future of qr (t). Without this term, source rate xr (t) will be increased if the number xr (t)qr (t) of packets buffered in the links is small compared with αr dr .

Price pl (t ) is the queueing delay at link l and qr (t) is the end-to-end queueing delay of source r (see [15]). Round trip time of source r is defined as Tr (t) := dr + qr (t) with the equilibrium value Tr defined in (3). An interpretation of Vegas algorithm is that each source r adjusts its rate (or window) to maintain αr dr number of its own packets buffered in the queues in its path. The link algorithm (4) is automatically carried out by the buffer process. The source algorithm (5) increments or decrements the window by 1 packet per round trip time, according as the number xr (t)qr (t ) of packets buffered in the links is smaller or bigger than αr dr .

Cassandras, “Perturbation analysis of feedback-controlled stochastic flow systems,” in Proceedings of the IEEE Conference On Decision and Control, pp. 6277–6282, 2003. Stabilized Vegas Hyojeong Choe1 and Steven H. edu 1 Introduction TCP Vegas was introduced in 1994 [5] as an alternative to TCP Reno. Unlike Reno (or its variants such as NewReno and SACK), that uses packet loss as a measure of congestion, Vegas uses queueing delay as a measure of congestion [15, 18]. Vegas introduces a new congestion avoidance mechanism that corrects the oscillatory behavior of AIMD (Additive Increase Multiplicative Decrease).

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