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Author: Wenbing Zhao Publisher: John Wiley & Sons ISBN: 1119682118 Category : Computers Languages : en Pages : 464
Book Description
This book covers the most essential techniques for designing and building dependable distributed systems, from traditional fault tolerance to the blockchain technology. Topics include checkpointing and logging, recovery-orientated computing, replication, distributed consensus, Byzantine fault tolerance, as well as blockchain. This book intentionally includes traditional fault tolerance techniques so that readers can appreciate better the huge benefits brought by the blockchain technology and why it has been touted as a disruptive technology, some even regard it at the same level of the Internet. This book also expresses a grave concern on using traditional consensus algorithms in blockchain because with the limited scalability of such algorithms, the primary benefits of using blockchain in the first place, such as decentralization and immutability, could be easily lost under cyberattacks.
Author: Wenbing Zhao Publisher: John Wiley & Sons ISBN: 1119682118 Category : Computers Languages : en Pages : 464
Book Description
This book covers the most essential techniques for designing and building dependable distributed systems, from traditional fault tolerance to the blockchain technology. Topics include checkpointing and logging, recovery-orientated computing, replication, distributed consensus, Byzantine fault tolerance, as well as blockchain. This book intentionally includes traditional fault tolerance techniques so that readers can appreciate better the huge benefits brought by the blockchain technology and why it has been touted as a disruptive technology, some even regard it at the same level of the Internet. This book also expresses a grave concern on using traditional consensus algorithms in blockchain because with the limited scalability of such algorithms, the primary benefits of using blockchain in the first place, such as decentralization and immutability, could be easily lost under cyberattacks.
Author: Wenbing Zhao Publisher: John Wiley & Sons ISBN: 1119682088 Category : Computers Languages : en Pages : 464
Book Description
This book covers the most essential techniques for designing and building dependable distributed systems, from traditional fault tolerance to the blockchain technology. Topics include checkpointing and logging, recovery-orientated computing, replication, distributed consensus, Byzantine fault tolerance, as well as blockchain. This book intentionally includes traditional fault tolerance techniques so that readers can appreciate better the huge benefits brought by the blockchain technology and why it has been touted as a disruptive technology, some even regard it at the same level of the Internet. This book also expresses a grave concern on using traditional consensus algorithms in blockchain because with the limited scalability of such algorithms, the primary benefits of using blockchain in the first place, such as decentralization and immutability, could be easily lost under cyberattacks.
Author: Meikang Qiu Publisher: Springer ISBN: 303005764X Category : Computers Languages : en Pages : 188
Book Description
This book constitutes the refereed proceedings of the First International Conference on Smart Blockchain, SmartBlock 2018, held in Tokyo, Japan, in December 2018. The 17 papers presented in this volume were carefully reviewed and selected from 102 submissions. They focus on a broad range of topics in the area of blockchain, from privacy-preserving solutions to designing advanced blockchain mechanism, from empirical studies to practical manuals.
Author: Amit Kumar Tyagi Publisher: John Wiley & Sons ISBN: 1394303548 Category : Computers Languages : en Pages : 692
Book Description
The book uniquely explores the fundamentals of blockchain and digital twin technologies and their uses in smart cities. In the previous decade, many governments explored artificial intelligence, digital twin, and blockchain, and their roles in smart cities. This book discusses the convergence of two transformative technologies, digital twin and blockchain, to address urban challenges and propel the development of smarter, more sustainable cities. This convergence empowers cities to create real-time replicas of urban environments (digital twins) and secure, transparent data management (blockchain) to improve city planning, management, and civic services. In this application, the concept of a digital twin involves creating a virtual, data-driven replica of a city or specific urban systems, such as transportation, energy, or infrastructure. This digital twin mirrors the real world, gathering data from various sensors, IoT devices, and other sources to provide a holistic view of the city’s operations. Furthermore, blockchain technology offers a decentralized and tamper-resistant ledger for securely storing and managing data. In the context of smart cities, blockchain can ensure data integrity, privacy, and transparency, enabling trust and collaboration among various stakeholders. This book covers many important topics, including real-time city modeling; data security and the trustworthy storage of sensitive urban data; transparent governance to facilitate accountable governance and decision-making processes in smart cities; improved city services; disaster resilience (by providing insights into vulnerabilities and efficient resource allocation during crises); sustainable urban planning that optimizes resource allocation, reduces energy consumption, and minimizes environmental impact, which fosters sustainable development; citizen engagement; and much more. This book will not only provide information about more efficient, resilient, and sustainable urban environments, but it also empowers citizens to be active participants in shaping the future of their cities. By converging these technologies, cities can overcome existing challenges, encourage innovation, and create more livable, connected, and responsive urban spaces. Audience This book has a wide audience in computer science, artificial intelligence, and information technology as well as engineers in a variety of industrial manufacturing industries. It will also appeal to economists and government/city policymakers working on smart cities, the circular economy, clean tech investors, urban decision-makers, and environmental professionals.
Author: Lucian Busoniu Publisher: CRC Press ISBN: 1439821097 Category : Computers Languages : en Pages : 280
Book Description
From household appliances to applications in robotics, engineered systems involving complex dynamics can only be as effective as the algorithms that control them. While Dynamic Programming (DP) has provided researchers with a way to optimally solve decision and control problems involving complex dynamic systems, its practical value was limited by algorithms that lacked the capacity to scale up to realistic problems. However, in recent years, dramatic developments in Reinforcement Learning (RL), the model-free counterpart of DP, changed our understanding of what is possible. Those developments led to the creation of reliable methods that can be applied even when a mathematical model of the system is unavailable, allowing researchers to solve challenging control problems in engineering, as well as in a variety of other disciplines, including economics, medicine, and artificial intelligence. Reinforcement Learning and Dynamic Programming Using Function Approximators provides a comprehensive and unparalleled exploration of the field of RL and DP. With a focus on continuous-variable problems, this seminal text details essential developments that have substantially altered the field over the past decade. In its pages, pioneering experts provide a concise introduction to classical RL and DP, followed by an extensive presentation of the state-of-the-art and novel methods in RL and DP with approximation. Combining algorithm development with theoretical guarantees, they elaborate on their work with illustrative examples and insightful comparisons. Three individual chapters are dedicated to representative algorithms from each of the major classes of techniques: value iteration, policy iteration, and policy search. The features and performance of these algorithms are highlighted in extensive experimental studies on a range of control applications. The recent development of applications involving complex systems has led to a surge of interest in RL and DP methods and the subsequent need for a quality resource on the subject. For graduate students and others new to the field, this book offers a thorough introduction to both the basics and emerging methods. And for those researchers and practitioners working in the fields of optimal and adaptive control, machine learning, artificial intelligence, and operations research, this resource offers a combination of practical algorithms, theoretical analysis, and comprehensive examples that they will be able to adapt and apply to their own work. Access the authors' website at www.dcsc.tudelft.nl/rlbook/ for additional material, including computer code used in the studies and information concerning new developments.
Author: Rodrigo Roman Publisher: Springer Nature ISBN: 3030918599 Category : Computers Languages : en Pages : 208
Book Description
This book constitutes the proceedings of the 17th International Workshop on Security and Trust Management, STM 2021, co-located with the 26th European Symposium on Research in Computer Security, ESORICS 2021. The conference was planned to take place in Darmstadt, Germany. It was held online on October 8, 2021, due to the COVID-19 pandemic. The 10 papers presented in this volume were carefully reviewed and selected from 26 submissions. They were organized in topical sections on applied cryptography; privacy; formal methods for security and trust; and systems security.
Author: Jin Li Publisher: Springer ISBN: 3030213730 Category : Computers Languages : en Pages : 751
Book Description
This book constitutes the refereed proceedings of the 2nd EAI International Conference on Security and Privacy in New Computing Environments, SPNCE 2019, held in Tianjin, China, in April 2019. The 62 full papers were selected from 112 submissions and are grouped into topics on privacy and security analysis, Internet of Things and cloud computing, system building, scheme, model and application for data, mechanism and method in new computing.
Author: Suresh Chandra Satapathy Publisher: Springer ISBN: 3030243184 Category : Technology & Engineering Languages : en Pages : 784
Book Description
This book constitutes the proceedings of the First International Conference on Emerging Trends in Engineering (ICETE), held at University College of Engineering and organised by the Alumni Association, University College of Engineering, Osmania University, in Hyderabad, India on 22–23 March 2019. The proceedings of the ICETE are published in three volumes, covering seven areas: Biomedical, Civil, Computer Science, Electrical & Electronics, Electronics & Communication, Mechanical, and Mining Engineering. The 215 peer-reviewed papers from around the globe present the latest state-of-the-art research, and are useful to postgraduate students, researchers, academics and industry engineers working in the respective fields. Volume 2 presents papers on the theme “Advances in Decision Sciences, Image Processing, Security and Computer Vision – International Conference on Emerging Trends in Engineering (ICETE)”. It includes state-of-the-art technical contributions in the areas of electronics and communication engineering and electrical and electronics engineering, discussing the latest sustainable developments in fields such as signal processing and communications; GNSS and VLSI; microwaves and antennas; signal, speech and image processing; power systems; and power electronics.
Author: Jeng-Shyang Pan Publisher: Springer Nature ISBN: 9811533083 Category : Technology & Engineering Languages : en Pages : 587
Book Description
This book gathers papers presented at the 13th International Conference on Genetic and Evolutionary Computing (ICGEC 2019), which was held in Qingdao, China, from 1st to 3rd, November 2019. Since it was established, in 2006, the ICGEC conference series has been devoted to new approaches with a focus on evolutionary computing. Today, it is a forum for the researchers and professionals in all areas of computational intelligence including evolutionary computing, machine learning, soft computing, data mining, multimedia and signal processing, swarm intelligence and security. The book appeals to policymakers, academics, educators, researchers in pedagogy and learning theory, school teachers, and other professionals in the learning industry, and further and continuing education.
Author: Wenbing Zhao
Author: Wenbing Zhao
Author: Wenbing Zhao
Author: Meikang Qiu
Author: Amit Kumar Tyagi
Author: Lucian Busoniu
Author: Minghui Xu
Author: Rodrigo Roman
Author: Jin Li
Author: Suresh Chandra Satapathy
Author: Jeng-Shyang Pan