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  1. Control of Communication Networks Using Infinitesimal Perturbation Analysis of Stochastic Fluid Models

    Managing and operating large scale communication networks is a challenging task and it is only expected to get worse as networks grow larger. The...
    Christos Panayiotou, Christos G. Cassandras, ... Yorai Wardi in Advances in Communication Control Networks
    Chapter
  2. Robust Controller Design for AQM and $\mathcal{H}^{\infty}$ -Performance Analysis

    Active Queue Management (AQM) has recently been proposed in [1] to support the end-to-end congestion control for TCP traffic regulation on the...
    Peng Yan, Hitay Özbay in Advances in Communication Control Networks
    Chapter
  3. An Introduction to Nonlinear Fault Diagnosis with an Application to a Congested Internet Router

    We aim at extending a recent linear theory on fault diagnosis [8, 9] to nonlinear systems by utilising, like Staroswiecki et al. [39], and Diop et...
    Michel Fliess, Cédric Join, Hugues Mounier in Advances in Communication Control Networks
    Chapter
  4. Position and Force Tracking in Bilateral Teleoperation

    A teleoperator is a dual robot system in which a remote slave robot tracks the motion of a master robot, which is, in turn, commanded by a human...
    Nikhil Chopra, Mark W. Spong, ... Nikita E. Barabanov in Advances in Communication Control Networks
    Chapter
  5. On the Optimization of Load Balancing in Distributed Networks in the Presence of Delay

    Distributing the total computational load across available processors is referred to as load balancing in the literature. A typical distributed...
    Sagar Dhakal, Majeed M. Hayat, ... J. Douglas Birdwell in Advances in Communication Control Networks
    Chapter
  6. State-Space Models for Control and Identification

    In the last two decades, design and performance evaluation of efficient congestion control methods for packet-switching computer communication...
    Henri-François Raynaud, Caroline Kulcsár, Rim Hammi in Advances in Communication Control Networks
    Chapter
  7. Extremal Properties of Random Structures

    The extremal characteristics of random structures, including trees, graphs, and networks, are discussed. A statistical physics approach is employed...
    Eli Ben-Naim, Paul L. Krapivsky, Sidney Redner in Complex Networks
    Chapter
  8. On the Analysis of Backtrack Proceduresfor the Colouring of Random Graphs

    Backtrack search algorithms are procedures capable of deciding whether a decision problem has a solution or not through a sequence of trials and...
    Rémi Monasson in Complex Networks
    Chapter
  9. Attacks and Cascades in Complex Networks

    This paper reviews two problems in the security of complex networks: cascades of overload failures on nodes and range-based attacks on links....
    Ying-Cheng Lai, Adilson E. Motter, Takashi Nishikawa in Complex Networks
    Chapter
  10. Tomography and Stability of Complex Networks

    We study the structure of generalized random graphs with a given degree distribution P(k), and review studies on their behavior under both random...
    Tomer Kalisky, Reuven Cohen, ... Shlomo Havlin in Complex Networks
    Chapter
  11. Topology, Hierarchy, and Correlations in Internet Graphs

    We present a statistical analysis of different metrics characterizing the topological properties of Internet maps, collected at two different...
    Romualdo Pastor-Satorras, Alexei Vázquez, Alessandro Vespignani in Complex Networks
    Chapter
  12. The Small World Phenomenonin Hybrid Power Law Graphs

    The small world phenomenon, that consistently occurs in numerous existing networks, refers to two similar but different properties — small average...
    Fan Chung, Linyuan Lu in Complex Networks
    Chapter
  13. Critical Phenomena in a Small World

    We consider the behavior of various systems on a small-world network near a critical point. Our starting point is a different, nonrandom system with...
    Matthew B. Hastings, Balázs Kozma in Complex Networks
    Chapter
  14. Who Is the Best Connected Scientist?A Study of Scientific Coauthorship Networks

    Using data from computer databases of scientific papers in physics, biomedical research, and computer science, we have constructed networks of...
    Mark E.J. Newman in Complex Networks
    Chapter
  15. Scholarly Information Network

    I review the background and some recent trends of a particular scholarly information network, ar**v.org, and discuss some of its implications for new...
    Paul Ginsparg in Complex Networks
    Chapter
  16. Spectral Analysis of Random Networks

    We review a general approach that describes the spectra of eigenvalues for random graphs with a local tree-like structure. The exact equations to the...
    Sergei N. Dorogovtsev, Alexander V. Goltsev, ... Alexander N. Samukhin in Complex Networks
    Chapter
  17. Theoretical Neuroanatomy:Analyzing the Structure, Dynamics,and Function of Neuronal Networks

    The mammalian brain is an extraordinary object: its networks give rise to our conscious experiences as well as to the generation of adaptive behavior...
    Anil K. Seth, Gerald M. Edelman in Complex Networks
    Chapter
  18. Information Theory of Complex Networks: On Evolution and Architectural Constraints

    Complex networks are characterized by highly heterogeneous distributions of links, often pervading the presence of key properties such as robustness...
    Ricard V. Solé, Sergi Valverde in Complex Networks
    Chapter
  19. Evolution of the Internet Topology and Traffic Dynamics of Data Packets

    In recent years, the Internet has become one of the most influential media in our daily life, going beyond in its role as the basic infrastructure in...
    Kwang-Il Goh, Byungnam Kahng, Doochul Kim in Complex Dynamics in Communication Networks
    Chapter
  20. 9. Switched Scalable Video Coding Systems

    Scalable video coding means that a video sequence is only encoded once and the coded bitstream has the capability of sending any sub-bitstream...
    Zhengguo Li, Yengchai Soh, Changyun Wen in Switched and Impulsive Systems
    Chapter
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