End-To-End Adaptive Congestion Control in Tcp/IP Networks
暫譯: TCP/IP 網路中的端到端自適應擁塞控制
Houmkozlis, Christos N., Rovithakis, George A.
商品描述
Establishing adaptive control as an alternative framework to design and analyze Internet congestion controllers, End-to-End Adaptive Congestion Control in TCP/IP Networks employs a rigorously mathematical approach coupled with a lucid writing style to provide extensive background and introductory material on dynamic systems stability and neural network approximation; alongside future internet requests for congestion control architectures. Designed to operate under extreme heterogeneous, dynamic, and time-varying network conditions, the developed controllers must also handle network modeling structural uncertainties and uncontrolled traffic flows acting as external perturbations. The book also presents a parallel examination of specific adaptive congestion control, NNRC, using adaptive control and approximation theory, as well as extensions toward cooperation of NNRC with application QoS control.
Features:
- Uses adaptive control techniques for congestion control in packet switching networks
- Employs a rigorously mathematical approach with lucid writing style
- Presents simulation experiments illustrating significant operational aspects of the method; including scalability, dynamic behavior, wireless networks, and fairness
- Applies to networked applications in the music industry, computers, image trading, and virtual groups by techniques such as peer-to-peer, file sharing, and internet telephony
- Contains working examples to highlight and clarify key attributes of the congestion control algorithms presented
Drawing on the recent research efforts of the authors, the book offers numerous tables and figures to increase clarity and summarize the algorithms that implement various NNRC building blocks. Extensive simulations and comparison tests analyze its behavior and measure its performance through monitoring vital network quality metrics. Divided into three parts, the book offers a review of computer networks and congestion control, presents an adaptive congestion control framework as an alternative to optimization methods, and provides appendices related to dynamic systems through universal neural network approximators.
商品描述(中文翻譯)
建立自適應控制作為設計和分析網際網路擁塞控制器的替代框架，端對端自適應擁塞控制在 TCP/IP 網路中 採用嚴謹的數學方法結合清晰的寫作風格，提供有關動態系統穩定性和神經網路近似的廣泛背景和入門材料；以及未來網際網路對擁塞控制架構的需求。這些開發的控制器設計用於極端異質、動態和時間變化的網路條件，必須處理網路建模結構不確定性和作為外部擾動的無控制流量。該書還平行檢視特定的自適應擁塞控制 NNRC，使用自適應控制和近似理論，以及 NNRC 與應用 QoS 控制的合作擴展。
特點：
- 使用自適應控制技術進行封包交換網路的擁塞控制
- 採用嚴謹的數學方法和清晰的寫作風格
- 呈現模擬實驗，說明該方法的重要操作方面；包括可擴展性、動態行為、無線網路和公平性
- 應用於音樂產業、計算機、影像交易和虛擬團體的網路應用，技術包括點對點、檔案共享和網際電話
- 包含工作範例以突顯和澄清所呈現的擁塞控制演算法的關鍵屬性
根據作者最近的研究努力，本書提供了大量的表格和圖形，以增加清晰度並總結實現各種 NNRC 基礎組件的演算法。廣泛的模擬和比較測試分析其行為並通過監控重要的網路質量指標來衡量其性能。本書分為三個部分，回顧計算機網路和擁塞控制，提出自適應擁塞控制框架作為優化方法的替代方案，並提供與通用神經網路近似器相關的動態系統附錄。
作者簡介
Christos N. Houmkozlis is currently in the Department of Electrical and Computer Engineering at Aristotle University of Thessaloniki. His research interests include nonlinear systems, robust adaptive control, modeling and control of communications networks, control over heterogeneous networks, resource management, and pricing in networks.
George A. Rovithakis is Associate Professor in the Department of Electrical and Computer Engineering at Aristotle University of Thessaloniki. His research interests include nonlinear robust adaptive control, neural networks for identification, control of uncertain systems, and control issues arising in computer networks.
作者簡介(中文翻譯)
Christos N. Houmkozlis 目前在塞薩洛尼基亞里士多德大學的電機與計算機工程系任職。他的研究興趣包括非線性系統、穩健自適應控制、通信網絡的建模與控制、異構網絡的控制、資源管理以及網絡中的定價。
George A. Rovithakis 是塞薩洛尼基亞里士多德大學電機與計算機工程系的副教授。他的研究興趣包括非線性穩健自適應控制、用於識別的神經網絡、不確定系統的控制，以及在計算機網絡中出現的控制問題。
