Distributed Systems

The authors explain in this work a new approach to observing and controlling linear systems whose inputs and outputs are not fixed in advance. They cover a class of linear time-invariant state/signal system that is general enough to include most of the standard classes of linear time-invariant dynamical systems, but simple enough that it is easy to understand the fundamental principles. They begin by explaining the basic theory of finite-dimensional and bounded systems in a way suitable for graduate courses in systems theory and control. They then proceed to the more advanced infinite-dimensional setting, opening up new ways for researchers to study distributed parameter systems, including linear port-Hamiltonian systems and boundary triplets. They include the general non-passive part of the theory in continuous and discrete time, and provide a short introduction to the passive situation. Numerous examples from circuit theory are used to illustrate the theory.

Experts in data analytics and power engineering present techniques addressing the needs of modern power systems, covering theory and applications related to power system reliability, efficiency, and security. With topics spanning large-scale and distributed optimization, statistical learning, big data analytics, graph theory, and game theory, this is an essential resource for graduate students and researchers in academia and industry with backgrounds in power systems engineering, applied mathematics, and computer science.

The book covers energy storage systems, bioenergy and hydrogen economy, grid integration of renewable energy systems, distributed generation, economic analysis, and environmental impacts of renewable

As the structure of contemporary communication networks grows more complex, practical networked distributed systems become prone to component failures.Fault-tolerant consensus in message-passing syste

Parallel and Distributed Computing Applications examines various dimensions of parallel and distributed computing applications along with various computing algorithms required for programming designs.

This book brings the state-of-the-science together for Distributed Cognition (DCOG) in complex socio-technical systems. It introduces the latest thinking on the Event Analysis of Systemic Teamwork (EA

Distributed Agency presents an interdisciplinary inroad into the latest thinking about the distributed nature of agency: what it's like, what are its conditions of possibility, and what are its conseq

Distributed Agency presents an interdisciplinary inroad into the latest thinking about the distributed nature of agency: what it's like, what are its conditions of possibility, and what are its conseq

Systems-level neuronal mechanisms that coordinate the temporally, anatomically, and functionally distributed neuronal activity into coherent cognitive operations in the human brain have remained poorl

Suitable for advanced courses in applied mathematics, this text covers analysis of lumped parameter systems, distributed parameter systems, and important areas of applied mathematics. Answers to selec

Distributed Computing Through Combinatorial Topology describes techniques for analyzing distributed algorithms based on award winning combinatorial topology research. The authors present a solid theor

Describes how to build parallel, distributed systems using the ERLANG programming language.

Distributed computing is at the heart of many applications. It arises as soon as one has to solve a problem in terms of entities -- such as processes, peers, processors, nodes, or agents -- that indiv

Differential equations with delay naturally arise in various applications, such as control systems, viscoelasticity, mechanics, nuclear reactors, distributed networks, heat flows, neural networks, com

Provides an intrduction to the control and filtering algorithims devised for distributed, interconnected environments with a particular emphasis on industrial applications.

The field of structured P2P systems has seen fast growth upon the introduction of Distributed Hash Tables (DHTs) in the early 2000s. The first proposals, including Chord, Pastry, Tapestry, were gradua

Distributed Programming: Theory and Practice presents a practical and rigorous method to develop distributed programs that correctly implement their specifications. The method also covers how to write

The best-selling Distributed Sensor Networks became the definitive guide to understanding this far-reaching technology. Preserving the excellence and accessibility of its predecessor, Distributed Sens

The best-selling Distributed Sensor Networks became the definitive guide to understanding this far-reaching technology. Preserving the excellence and accessibility of its predecessor, Distributed Sens

The best-selling Distributed Sensor Networks became the definitive guide to understanding this far-reaching technology. Preserving the excellence and accessibility of its predecessor, Distributed Sens

Data replication by employing quorum systems is an important concept to improve operation availability on data objects in distributed systems that have strong data consistency demands. These data repl

This book focuses on the distinct but tightly inter-related areas of development for distributed sensing systemsIn this book, the authors discuss the technological developments lead by sensor technolo

Distributed-order differential equations, a generalization of fractional calculus, are of increasing importance in many fields of science and engineering from the behaviour of complex dielectric media

This book constitutes the thoroughly refereed post-conferenceproceedings of the first two international workshops on computationalmodels of collaboration in distributed systems: CARE 2009, held assate

Self-organisation, self-regulation, self-repair and self-maintenance are promising conceptual approaches for dealing with complex distributed interactive software and information-handling systems. Sel

For professionals and researchers in information and knowledge related technologies, Brena (distributed knowledge and multiagent systems, Tecnologico de Monterrey, Mexico) and Guzman-Arenas (computer

The book contains the papers developed from the presentations at the Distributed Intelligence in Design Symposium, held in Salford in May 2009.In this context, Distributed Intelligence refers t

This 2002 book investigates the opportunities in building intelligent decision support systems offered by multi-agent distributed probabilistic reasoning. Probabilistic reasoning with graphical models, also known as Bayesian networks or belief networks, has become increasingly an active field of research and practice in artificial intelligence, operations research and statistics. The success of this technique in modeling intelligent decision support systems under the centralized and single-agent paradigm has been striking. Yang Xiang extends graphical dependence models to the distributed and multi-agent paradigm. He identifies the major technical challenges involved in such an endeavor and presents the results. The framework developed in the book allows distributed representation of uncertain knowledge on a large and complex environment embedded in multiple cooperative agents, and effective, exact and distributed probabilistic inference.

There is a need for more inclusive holistic approaches to identify and analyze safety-related system risks. Systems are becoming increasingly more complex, diverse, and vastly distributed. Conventiona

This two-volume set LNCS 5870/5871 constitutes the refereed proceedings of the four confederated international conferences on Cooperative Information Systems (CoopIS 2009), Distributed Objects and App

Multi-Agent Systems are a promising technology to develop the next generation open distributed complex software systems. The main focus of the research community has been on the development of concep

This two-volume set LNCS 5331/5332 constitutes the refereed proceedings of the five confederated international conferences on Cooperative Information Systems (CoopIS 2008), Distributed Objects and App

Modern industrial facilities, such as oil refineries, chemical factories, electric power generation plants, etc. are large, complex, distributed systems. These systems are monitored and controlled by

Communications of ACMInternet ResearchIEEE Transactions on Parallel and Distributed SystemsParallel ComputingIEEE Transactions on ComputersACM Transactions on Computer Systems

A sequel to Mobile Processing in Distributed and Open Environments, this title introduces an extended, universal WAVE-WP model for distributed processing and control in dynamic and open worlds of any

Eleven chapters, written by experts in their respective fields, on topics ranging from control of the Navier-Stokes equations to nondestructive evaluation – all of which are modeled by distributed par

An Introduction to Distributed Algorithms takes up some of the main concepts and algorithms, ranging from basic to advanced techniques and applications, that underlie the programming of distributed-me

This 2002 book investigates the opportunities in building intelligent decision support systems offered by multi-agent distributed probabilistic reasoning. Probabilistic reasoning with graphical models, also known as Bayesian networks or belief networks, has become increasingly an active field of research and practice in artificial intelligence, operations research and statistics. The success of this technique in modeling intelligent decision support systems under the centralized and single-agent paradigm has been striking. Yang Xiang extends graphical dependence models to the distributed and multi-agent paradigm. He identifies the major technical challenges involved in such an endeavor and presents the results. The framework developed in the book allows distributed representation of uncertain knowledge on a large and complex environment embedded in multiple cooperative agents, and effective, exact and distributed probabilistic inference.

Shlomi Dolev presents the fundamentals of self-stabilization and demonstrates the process of designing self-stabilizing distributed systems.

"An Introduction to Distributed Algorithms" takes up some of the main concepts and algorithms, ranging from basic to advanced techniques and applications, that underlie the programming of distributed-