Computational Models for Architecture of Autonomous Networked Systems
Author: Mohsen Mosleh
Publisher:
Published: 2017
Total Pages: 0
ISBN-13:
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Architecture of Network Systems
Author: Dimitrios Serpanos
Publisher: Elsevier
Published: 2011-01-12
Total Pages: 339
ISBN-13: 0080922821
DOWNLOAD EBOOKArchitecture of Network Systems explains the practice and methodologies that will allow you to solve a broad range of problems in system design, including problems related to security, quality of service, performance, manageability, and more. Leading researchers Dimitrios Serpanos and Tilman Wolf develop architectures for all network sub-systems, bridging the gap between operation and VLSI. This book provides comprehensive coverage of the technical aspects of network systems, including system-on-chip technologies, embedded protocol processing and high-performance, and low-power design. It develops a functional approach to network system architecture based on the OSI reference model, which is useful for practitioners at every level. It also covers both fundamentals and the latest developments in network systems architecture, including network-on-chip, network processors, algorithms for lookup and classification, and network systems for the next-generation Internet. The book is recommended for practicing engineers designing the architecture of network systems and graduate students in computer engineering and computer science studying network system design. This is the first book to provide comprehensive coverage of the technical aspects of network systems, including processing systems, hardware technologies, memory managers, software routers, and more Develops a systematic approach to network architectures, based on the OSI reference model, that is useful for practitioners at every level Covers both the important basics and cutting-edge topics in network systems architecture, including Quality of Service and Security for mobile, real-time P2P services, Low-Power Requirements for Mobile Systems, and next generation Internet systems
Intelligent Systems and Sustainable Computational Models
Author: Rajganesh Nagarajan
Publisher: CRC Press
Published: 2024-06-03
Total Pages: 429
ISBN-13: 104002694X
DOWNLOAD EBOOKThe fields of intelligent systems and sustainability have been gaining momentum in the research community. They have drawn interest in such research fields as computer science, information technology, electrical engineering, and other associated engineering disciples. The promise of intelligent systems applied to sustainability is becoming a reality due to the recent advancements in the Internet of Things (IoT), Artificial Intelligence, Big Data, blockchain, deep learning, and machine learning. The emergence of intelligent systems has given rise to a wide range of techniques and algorithms using an ensemble approach to implement novel solutions for complex problems associated with sustainability. Intelligent Systems and Sustainable Computational Models: Concepts, Architecture, and Practical Applications explores this ensemble approach towards building a sustainable future. It explores novel solutions for such pressing problems as smart healthcare ecosystems, energy efficient distributed computing, affordable renewable resources, mitigating financial risks, monitoring environmental degradation, and balancing climate conditions. The book helps researchers to apply intelligent systems to computational sustainability models to propose efficient methods, techniques, and tools. The book covers such areas as: Intelligent and adaptive computing for sustainable energy, water, and transportation networks Blockchain for decentralized systems for sustainable applications, systems, and infrastructure IoT for sustainable critical infrastructure Explainable AI (XAI) and decision-making models for computational sustainability Sustainable development using edge computing, fog computing and cloud computing Cognitive intelligent systems for e-learning Artificial Intelligence and machine learning for large scale data Green computing and cyber physical systems Real-time applications in healthcare, agriculture, smart cities, and smart governance. By examining how intelligent systems can build a sustainable society, the book presents systems solutions that can benefit researchers and professionals in such fields as information technology, health, energy, agricultural, manufacturing, and environmental protection.
Architectural Transformations in Network Services and Distributed Systems
Author: Andriy Luntovskyy
Publisher: Springer
Published: 2017-03-23
Total Pages: 358
ISBN-13: 365814842X
DOWNLOAD EBOOKWith the given work we decided to help not only the readers but ourselves, as the professionals who actively involved in the networking branch, with understanding the trends that have developed in recent two decades in distributed systems and networks. Important architecture transformations of distributed systems have been examined. The examples of new architectural solutions are discussed.
Autonomous Driving Network
Author: Wenshuan Dang
Publisher: CRC Press
Published: 2024-01-17
Total Pages: 396
ISBN-13: 1003826385
DOWNLOAD EBOOKAiming to outline the vision of realizing automated and intelligent communication networks in the era of intelligence, this book describes the development history, application scenarios, theories, architectures, and key technologies of Huawei's Autonomous Driving Network (ADN) solution. In the book, the authors explain the design of the top-level architecture, hierarchical architecture (ANE, NetGraph, and AI Native NE), and key feature architecture (distributed AI and endogenous security) that underpin Huawei's ADN solution. The book delves into various key technologies, including trustworthy AI, distributed AI, digital twin, network simulation, digitization of knowledge and expertise, human-machine symbiosis, NE endogenous intelligence, and endogenous security. It also provides an overview of the standards and level evaluation methods defined by industry and standards organizations, and uses Huawei's ADN solution as an example to illustrate how to implement AN. This book is an essential reference for professionals and researchers who want to gain a deeper understanding of automated and intelligent communication networks and their applications.
Advanced Computer Organization & Architecture
Author: Ikvinderpal Singh
Publisher: KHANNA PUBLISHING HOUSE
Published: 2015
Total Pages: 396
ISBN-13: 9381068690
DOWNLOAD EBOOKDescribes the introduction of advanced computer architecture and parallel processing. Covers the paradigms of computing like synchronous and asynchronous. Detailed explanation of the Flynn's classification, kung's taxonomy and reduction paradigm. provides a detailed treatment of abstract parallel computational models like combination circuits, sorting network, PRAM models, interconnection RAMs. Covers the parallelism in uni processor systems. Provides an extensive treatment of parallel computer structures like pipeline computers, array computers and multiprocessor systems. Covers the concepts of pipeline and classification of pipeline processors. Give description of super scalar, super pipeline design and VLIW processors. Explains the design structures and algorithms for array processors.
Distributed Computer Control Systems 1988
Author: Th. d'Epinay Lalive
Publisher: Elsevier
Published: 2014-06-28
Total Pages: 147
ISBN-13: 1483298167
DOWNLOAD EBOOKContinuing the forward thinking of previously held distributed computer control systems meetings, this volume discusses both the positive and negative views on trends in OSI-based communications; the development of the fieldbus; the importance of the incorporation into basic real time operating systems to be used for distributed systems of concepts such as time-stamping and access to global time-bases; and the influence of artificial-intelligence-based technologies on the distributed computer control world.
Architectural Design of Multi-agent Systems
Author: Hong Lin
Publisher: IGI Global
Published: 2007
Total Pages: 450
ISBN-13:
DOWNLOAD EBOOK"This book is a compilation of advanced research results in architecture and modeling issues of multi-agent systems. It serves as a reference for research on system models, architectural design languages, methods and reasoning, module interface design, and design issues"--Provided by publisher.
Toward a Practice of Autonomous Systems
Author: Francisco J. Varela
Publisher: MIT Press
Published: 1992-04-02
Total Pages: 546
ISBN-13: 9780262720199
DOWNLOAD EBOOKArtificial life embodies a recent and important conceptual step in modem science: asserting that the core of intelligence and cognitive abilities is the same as the capacity for living. The recent surge of interest in artificial life has pushed a whole range of engineering traditions, such as control theory and robotics, beyond classical notions of goal and planning into biologically inspired notions of viability and adaptation, situatedness and operational closure. These proceedings serve two important functions: they address bottom-up theories of artificial intelligence and explore what can be learned from simple models such as insects about the cognitive processes and characteristic autonomy of living organisms, while also engaging researchers and philosophers in an exciting examination of the epistemological basis of this new trend. Topics Artificial Animals • Genetic Algorithms • Autonomous Systems • Emergent Behaviors • Artificial Ecologies • Immunologic Algorithms • Self-Adapting Systems • Emergent Structures • Emotion And Motivation • Neural Networks • Coevolution • Fitness Landscapes Contributors H. Bersini, Domenico Parisi, Rodney A. Brooks, Christopher G. Langton, S. Kauffman, J.-L. Denenbourg, Pattie Maes, John Holland, T. Smithersm H. Swefel, H. Muhlenbein
Autonomous Agents and Multi-agent Systems
Author: Jiming Liu
Publisher: World Scientific
Published: 2001
Total Pages: 308
ISBN-13: 9789812811844
DOWNLOAD EBOOKAn autonomous agent is a computational system that acquires sensory data from its environment and decides by itself how to relate the external stimulus to its behaviors in order to attain certain goals. Responding to different stimuli received from its task environment, the agent may select and exhibit different behavioral patterns. The behavioral patterns may be carefully predefined or dynamically acquired by the agent based on some learning and adaptation mechanism(s). In order to achieve structural flexibility, reliability through redundancy, adaptability, and reconfigurability in real-world tasks, some researchers have started to address the issue of multiagent cooperation. Broadly speaking, the power of autonomous agents lies in their ability to deal with unpredictable, dynamically changing environments. Agent-based systems are becoming one of the most important computer technologies, holding out many promises for solving real-world problems. The aims of this book are to provide a guided tour to the pioneering work and the major technical issues in agent research, and to give an in-depth discussion on the computational mechanisms for behavioral engineering in autonomous agents. Through a systematic examination, the book attempts to provide the general design principles for building autonomous agents and the analytical tools for modeling the emerged behavioral properties of a multiagent system. Contents: Behavioral Modeling, Planning, and Learning; Synthetic Autonomy; Dynamics of Distributed Computation; Self-Organized Autonomy in Multi-Agent Systems; Autonomy-Oriented Computation; Dynamics and Complexity of Autonomy-Oriented Computation. Readership: Undergraduate and graduate students in computer science and most engineering disciplines, as well as computer scientists, engineers, researchers and practitioners in the field of machine intelligence.
