Decentralized Task Sharing in a Distributed Computing System PDF Download

Author: Hemant Rotithor
Publisher:
ISBN:
Category : Computer architecture
Languages : en
Pages : 332

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Author: Sandhya Avasthi
Publisher: John Wiley & Sons
ISBN: 1394205104
Category : Computers
Languages : en
Pages : 404

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Book Description
This book provides a comprehensive exploration of next-generation internet, distributed systems, and distributed computing, offering valuable insights into their impact on society and the future of technology. The use of distributed systems is a big step forward in IT and computer science. As the number of tasks that depend on each other grows, a single machine can no longer handle all of them. Distributed computing is better than traditional computer settings in several ways. Distributed systems reduce the risks of a single point of failure, making them more reliable and able to handle mistakes. Most modern distributed systems are made to be scalable, which means that processing power can be added on the fly to improve performance. The internet of the future is meant to give us freedom and choices, encourage diversity and decentralization, and make it easier for people to be creative and do research. By making the internet more three-dimensional and immersive, the metaverse could introduce more ways to use it. Some people have expressed negative things about the metaverse, and there is much uncertainty regarding its future. Analysts in the field have pondered if the metaverse will differ much from our current digital experiences, and if so, whether people will be willing to spend hours per day exploring virtual space while wearing a headset. This book will look at the different aspects of the next-generation internet, distributed systems, distributed computing, and their effects on society as a whole.

Author: Rajiv Pandey
Publisher: Elsevier
ISBN: 0323961460
Category : Science
Languages : en
Pages : 476

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Book Description
Distributed Computing to Blockchain: Architecture, Technology, and Applications provides researchers, computer scientists and data scientists with a comprehensive and applied reference covering the evolution of distributed systems computing into blockchain and associated systems such as consensus algorithms, distributed ledgers, DApps, byzantine fault tolerance, distributed databases and operating systems. Sections cover key concepts and technologies such as distributed systems and their architecture, distributed ledger and decentralized web, application and properties of crypto economics, blockchain crypto-analysis for distributed systems followed by DApps architecture. Other sections cover blockchain architecture and security, including smart contracts, tokens, and more. The authors then review byzantine fault tolerance (BFT), distributed ledgers vs. blockchains, and blockchain protocols. The security issues of blockchain and how it aims to resolve trust problems is also covered, along with consensus algorithms used in blockchain. Throughout the book, the presentation of key concepts is supported by real-world tools, algorithms, programming languages and technology to support the implementation of distributed ledger and blockchain in a variety of fields, including healthcare, finance, legal and business applications.

Author: YI-CHIEH CHANG
Publisher:
ISBN:
Category :
Languages : en
Pages : 412

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so that the probability of more than one overloaded node sending tasks to a single underloaded node may be made very small.

Author: Abdelkader Hameurlain
Publisher: Springer Nature
ISBN: 3662622718
Category : Computers
Languages : en
Pages : 195

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Book Description
The LNCS journal Transactions on Large-Scale Data- and Knowledge-Centered Systems focuses on data management, knowledge discovery, and knowledge processing, which are core and hot topics in computer science. Since the 1990s, the Internet has become the main driving force behind application development in all domains. An increase in the demand for resource sharing (e.g., computing resources, services, metadata, data sources) across different sites connected through networks has led to an evolution of data- and knowledge-management systems from centralized systems to decentralized systems enabling large-scale distributed applications providing high scalability. This, the 44th issue of Transactions on Large-Scale Data- and Knowledge-Centered Systems, contains six fully revised and extended papers selected from the 35th conference on Data Management – Principles, Technologies and Applications, BDA 2019. The topics covered include big data, graph data streams, workflow execution in the cloud, privacy in crowdsourcing, secure distributed computing, machine learning, and data mining for recommendation systems.

Author:
Publisher:
ISBN:
Category : Electronic data processing
Languages : en
Pages : 916

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The proceedings of the Second IEEE Symposium on title], held in Dallas, December 1990, comprise 143 papers on topics in algorithm, task scheduling, networks, operating systems, databases, architecture, fault tolerance, VLSI design, graphis/image processing, artificial intelligence, languages/compil

Author: Hisao Kameda
Publisher: Springer Science & Business Media
ISBN: 1447109694
Category : Technology & Engineering
Languages : en
Pages : 262

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Book Description
An important consideration in improving the performance of a distributed computer system is the balancing of the load between the host computers. Load balancing may be either static or dynamic; static balancing strategies are generally based on information about the system's average behavior rather than its actual current state, while dynamic strategies react to the current state when making transfer decisions. Although it is often conjectured that dynamic load balancing outperforms static, careful investigation shows that this view is not always valid. Recent research on the problem of optimal static load balancing is clearly and intuitively presented, with coverage of distributed computer system models, problem formulation in load balancing, and effective algorithms for implementing optimization. Providing a thorough understanding of both static and dynamic strategies, this book will be of interest to all researchers and practitioners working to optimize performance in distributed computer systems.

Author: Matt Duckham
Publisher: Springer Science & Business Media
ISBN: 3642308538
Category : Science
Languages : en
Pages : 330

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Book Description
Computing increasingly happens somewhere, with that geographic location important to the computational process itself. Many new and evolving spatial technologies, such as geosensor networks and smartphones, embody this trend. Conventional approaches to spatial computing are centralized, and do not account for the inherently decentralized nature of "computing somewhere": the limited, local knowledge of individual system components, and the interaction between those components at different locations. On the other hand, despite being an established topic in distributed systems, decentralized computing is not concerned with geographical constraints to the generation and movement of information. In this context, of (centralized) spatial computing and decentralized (non-spatial) computing, the key question becomes: "What makes decentralized spatial computing special?" In Part I of the book the author covers the foundational concepts, structures, and design techniques for decentralized computing with spatial and spatiotemporal information. In Part II he applies those concepts and techniques to the development of algorithms for decentralized spatial computing, stepping through a suite of increasingly sophisticated algorithms: from algorithms with minimal spatial information about their neighborhoods; to algorithms with access to more detailed spatial information, such as direction, distance, or coordinate location; to truly spatiotemporal algorithms that monitor environments that are dynamic, even using networks that are mobile or volatile. Finally, in Part III the author shows how decentralized spatial and spatiotemporal algorithms designed using the techniques explored in Part II can be simulated and tested. In particular, he investigates empirically the important properties of a decentralized spatial algorithm: its computational efficiency and its robustness to unavoidable uncertainty. Part III concludes with a survey of the opportunities for connecting decentralized spatial computing to ongoing research and emerging hot topics in related fields, such as biologically inspired computing, geovisualization, and stream computing. The book is written for students and researchers of computer science and geographic information science. Throughout the book the author's style is characterized by a focus on the broader message, explaining the process of decentralized spatial algorithm design rather than the technical details. Each chapter ends with review questions designed to test the reader's understanding of the material and to point to further work or research. The book includes short appendices on discrete mathematics and SQL. Simulation models written in NetLogo and associated source code for all the algorithms presented in the book can be found on the author's accompanying website.

Author: Dr.C.Priya
Publisher: SK Research Group of Companies
ISBN: 9364921941
Category : Computers
Languages : en
Pages : 208

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Book Description
Dr.C.Priya, Professor, Department of Computer Applications, Dr.M.G.R. Educational and Research Institute, Chennai, Tamil Nadu, India. Dr.V.Priya, Assistant Professor, Department of Computer Applications, SSKV College of Arts and Science for Women, Kanchipuram, Tamil Nadu, India. Dr.R.Subhashni, Associate Professor, Department of Computer Science and Applications, St.Peter's Institute of Higher Education and Research, Chennai, Tamil Nadu, India. Dr.S.Vigneshwari, Professor & Head, Department of Computer Science and Engineering, Sathyabama Institute of Science and Technology, Chennai, Tamil Nadu, India. Dr.Sheela.K, Assistant Professor, Department of Computer Science, Vels Institute of Science, Technology and Advanced Studies (VISTAS), Chennai, Tamil Nadu, India.

Author: Sam Ghosh
Publisher: CRC Press
ISBN: 1040130658
Category : Business & Economics
Languages : en
Pages : 319

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Book Description
The Age of Decentralization talks about various decentralization technologies including Web3, decentralized identity, and decentralized storage, and how they can be incorporated in traditional tech architectures to improve technical and business performance. In this book, the authors take us on a journey through the tech landscape, exploring how decentralized technologies, including Web3, are on the verge of becoming mainstream and offer a practical roadmap for understanding and embracing this shift. Web2 brought us "the great centralization" by centralizing not only data but also business processes, blurring the industry boundaries. So, payment platforms started offering e-commerce services and ride-hailing services started delivering food. Scale became the most effective moat. But, at the same time, these huge platforms became a magnet for security threats and started violating user privacy rights and consumer rights. The authors argue that the technological, regulatory, and social landscape is ready for the next evolution of technology systems as decentralization technologies get incorporated into traditional architectures. This book serves as a guide for readers to understand the fundamentals of Web3 along with other decentralized technologies and creates a framework for incorporating them into traditional architectures. At the same time, the authors explore the organization level as well as the macro implications of decentralized technologies.