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Data Placement in Distributed Systems

and processing. We explore data-intensive distributed computing and study challenges in data placement in distributed environments. After;

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Distributed Database Architecture

In distributed systems, clients access data that is stored in multiple server locations. The computers in a distributed system are called;

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P2P Techniques for Decentralized Applications

, autonomy and dynamic behavior of peers, and decentralization of control. Thus, they are well suited for large-scale data sharing in distributed;

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Service-Oriented Distributed Knowledge Discovery

A new approach to distributed large-scale data mining, service-oriented knowledge discovery extracts useful knowledge from today's often;

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Service-Oriented Distributed Knowledge Discovery

A new approach to distributed large-scale data mining, service-oriented knowledge discovery extracts useful knowledge from today's often;

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Distributed Database Systems

of database technology and developments in data communications (including standards) before reviewing the principles of distributed DB systems. It;

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P2p Techniques for Decentralized Applications

, autonomy and dynamic behavior of peers, and decentralization of control. Thus, they are well suited for large-scale data sharing in distributed;

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Internet and Distributed Computing Systems

computing and big data; distributed scheduling and optimization; internet of things and its application; smart networked transportation and;

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Modern Optimization Techniques for Smart Grids

measurement units (PMUs), enhancing distribution system performance using the optimal placement of distributed generations (DGs) and/or capacitor;

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Characteristics of Distributed-Parameter Systems

This volume is a handbook which contains data dealing with the characteristics of systems with distributed and lumped parameters. Some 200;

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Intelligent Distributed Computing XIII

This book gathers research contributions on recent advances in intelligent and distributed computing. A major focus is placed on new;

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Distibuted Systems

.); local views for every component and no shared data between components. This title presents distributed systems from a point of view dedicated to;

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Transactions on Large-Scale Data- and Knowledge-Centered Systems XLIV

, privacy in crowdsourcing, secure distributed computing, machine learning, and data mining for recommendation systems.;

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Algorithms and Architectures for Parallel Processing

; big data and its applications; parallel and distributed algorithms; applications of parallel and distributed computing; service dependability;

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Transactions on Large-Scale Data- and Knowledge-Centered Systems XLII

evolution of data- and knowledge-management systems from centralized systems to decentralized systems enabling large-scale distributed applications;

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Distributed Data Mining and Mining Multi-Agent Data

The problem of distributed data mining is very important in networks. Ina distributed environment, one has distributed probes placed at;

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Optimal Measurement Methods for Distributed Parameter System Identification

moving sensors, optimal placement presents a critical problem. Optimal Measurement Methods for Distributed Parameter System Identification;

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Transactions on Large-Scale Data- and Knowledge-Centered Systems XLVIII

include distributed database systems, NewSQL, scalable transaction management, strong consistency, caches, data warehouse, ETL, reinforcement;

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Distributed Cooperative Control and Communication for Multi agent Systems

dynamic programming, etc. From this book, readers can learn about distributed cooperative control methods, data-driven control, finite-time;

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Distributed Cooperative Control and Communication for Multi agent Systems

dynamic programming, etc. From this book, readers can learn about distributed cooperative control methods, data-driven control, finite-time;

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Data Intensive Distributed Computing

Data Intensive Distributed Computing: Challenges and Solutions for Large-scale Information Management focuses on the challenges;

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Guide to High Performance Distributed Computing

fundamentals of building scalable software systems for large-scale data processing in the new paradigm of high performance distributed computing;

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Distributed Machine Learning and Gradient Optimization

This book presents the state of the art in distributed machine learning algorithms that are based on gradient optimization methods. In the;

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Intelligent Data Communication Technologies and Internet of Things

This book focuses on the emerging advances in distributed communication systems, big data, intelligent computing and Internet of Things;

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Internet and Distributed Computing Systems

This book constitutes the proceedings of the 12th International Conference on Internet and Distributed Systems held in Naples, Italy;

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Mastering Distributed Tracing

distributed systems. Today, tracing standards have developed and we have much faster systems, making instrumentation less intrusive and data more;

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Java Distributed Computing

Java's security facilities, how to write multithreaded servers, and more. It pays special attention to distributed data systems, collaboration;

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