From Active Data Management To Event Based Systems And More

Author : Kai Sachs
Publisher : Springer Science & Business Media
ISBN 13 : 3642172253
Total Pages : 350 pages
Book Rating : 4.50/5 ( download)

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Download or read book From Active Data Management to Event-Based Systems and More written by Kai Sachs and published by Springer Science & Business Media. This book was released on 2010-11-16 with total page 350 pages. Available in PDF, EPUB and Kindle. Book excerpt: Dedicated to the vision of Prof. Alejandro Buchmann, this collection of work illuminates various facets of data management and reflects the development of the field from its early association with database systems through to today’s wide-ranging applications.

Author : Hinze, Annika M.
Publisher : IGI Global
ISBN 13 : 160566698X
Total Pages : 538 pages
Book Rating : 4.83/5 ( download)

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Download or read book Principles and Applications of Distributed Event-Based Systems written by Hinze, Annika M. and published by IGI Global. This book was released on 2010-06-30 with total page 538 pages. Available in PDF, EPUB and Kindle. Book excerpt: Principles and Applications of Distributed Event-Based Systems showcases event-based systems in real-world applications. Containing expert international contributions, this advanced publication provides professionals, researchers, and students in systems design with a rich compendium of latest applications in the field.

Author : Karl Aberer
Publisher : Springer Science & Business Media
ISBN 13 : 9781402073519
Total Pages : 368 pages
Book Rating : 4.18/5 ( download)

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Download or read book Semantic Issues in E-Commerce Systems written by Karl Aberer and published by Springer Science & Business Media. This book was released on 2002-12-31 with total page 368 pages. Available in PDF, EPUB and Kindle. Book excerpt: Semantic Issues in e-Commerce Systems comprises the proceedings of the Ninth Working Conference on Database Semantics, which was sponsored by the International Federation for Information Processing (IFIP) and held in Hong Kong in April 2001. This volume will be essential for researchers and practitioners working in the areas of database management, information retrieval and data mining, and user interfaces, as applied to e-commerce.

Author : Francesco Colace
Publisher : Springer
ISBN 13 : 3319200623
Total Pages : 380 pages
Book Rating : 4.20/5 ( download)

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Download or read book Data Management in Pervasive Systems written by Francesco Colace and published by Springer. This book was released on 2015-10-17 with total page 380 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book contributes to illustrating the methodological and technological issues of data management in Pervasive Systems by using the DataBenc project as the running case study for a variety of research contributions: sensor data management, user-originated data operation and reasoning, multimedia data management, data analytics and reasoning for event detection and decision making, context modelling and control, automatic data and service tailoring for personalization and recommendation. The book is organized into the following main parts: i) multimedia information management; ii) sensor data streams and storage; iii) social networks as information sources; iv) context awareness and personalization. The case study is used throughout the book as a reference example.

Author : Cornelius T. Leondes
Publisher : Elsevier
ISBN 13 : 0080535283
Total Pages : 1554 pages
Book Rating : 4.89/5 ( download)

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Download or read book Knowledge-Based Systems, Four-Volume Set written by Cornelius T. Leondes and published by Elsevier. This book was released on 2000-07-11 with total page 1554 pages. Available in PDF, EPUB and Kindle. Book excerpt: The design of knowledge systems is finding myriad applications from corporate databases to general decision support in areas as diverse as engineering, manufacturing and other industrial processes, medicine, business, and economics. In engineering, for example, knowledge bases can be utilized for reliable electric power system operation. In medicine they support complex diagnoses, while in business they inform the process of strategic planning. Programmed securities trading and the defeat of chess champion Kasparov by IBM's Big Blue are two familiar examples of dedicated knowledge bases in combination with an expert system for decision-making. With volumes covering "Implementation," "Optimization," "Computer Techniques," and "Systems and Applications," this comprehensive set constitutes a unique reference source for students, practitioners, and researchers in computer science, engineering, and the broad range of applications areas for knowledge-based systems.

Author : Opher Etzion
Publisher : Manning
ISBN 13 : 9781935182214
Total Pages : 0 pages
Book Rating : 4.18/5 ( download)

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Download or read book Event Processing in Action written by Opher Etzion and published by Manning. This book was released on 2010-08-07 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: Unlike traditional information systems which work by issuing requests and waiting for responses, event-driven systems are designed to process events as they occur, allowing the system to observe, react dynamically, and issue personalized data depending on the recipient and situation. Event Processing in Action introduces the major concepts of event-driven architectures and shows how to use, design, and build event processing systems and applications. Written for working software architects and developers, the book looks at practical examples and provides an in-depth explanation of their architecture and implementation. Since patterns connect the events that occur in any system, the book also presents common event-driven patterns and explains how to detect and implement them. Throughout the book, readers follow a comprehensive use case that incorporates all event processing programming styles in practice today. Purchase of the print book comes with an offer of a free PDF, ePub, and Kindle eBook from Manning. Also available is all code from the book.

Author : Wolfram Wingerath
Publisher : Springer
ISBN 13 : 3030105555
Total Pages : 77 pages
Book Rating : 4.56/5 ( download)

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Download or read book Real-Time & Stream Data Management written by Wolfram Wingerath and published by Springer. This book was released on 2019-01-02 with total page 77 pages. Available in PDF, EPUB and Kindle. Book excerpt: While traditional databases excel at complex queries over historical data, they are inherently pull-based and therefore ill-equipped to push new information to clients. Systems for data stream management and processing, on the other hand, are natively pushoriented and thus facilitate reactive behavior. However, they do not retain data indefinitely and are therefore not able to answer historical queries. The book provides an overview over the different (push-based) mechanisms for data retrieval in each system class and the semantic differences between them. It also provides a comprehensive overview over the current state of the art in real-time databases. It sfirst includes an in-depth system survey of today's real-time databases: Firebase, Meteor, RethinkDB, Parse, Baqend, and others. Second, the high-level classification scheme illustrated above provides a gentle introduction into the system space of data management: Abstracting from the extreme system diversity in this field, it helps readers build a mental model of the available options.

Author : Kasun Indrasiri
Publisher : "O'Reilly Media, Inc."
ISBN 13 : 1492090689
Total Pages : 314 pages
Book Rating : 4.87/5 ( download)

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Download or read book Design Patterns for Cloud Native Applications written by Kasun Indrasiri and published by "O'Reilly Media, Inc.". This book was released on 2021-05-17 with total page 314 pages. Available in PDF, EPUB and Kindle. Book excerpt: With the immense cost savings and scalability the cloud provides, the rationale for building cloud native applications is no longer in question. The real issue is how. With this practical guide, developers will learn about the most commonly used design patterns for building cloud native applications using APIs, data, events, and streams in both greenfield and brownfield development. You'll learn how to incrementally design, develop, and deploy large and effective cloud native applications that you can manage and maintain at scale with minimal cost, time, and effort. Authors Kasun Indrasiri and Sriskandarajah Suhothayan highlight use cases that effectively demonstrate the challenges you might encounter at each step. Learn the fundamentals of cloud native applications Explore key cloud native communication, connectivity, and composition patterns Learn decentralized data management techniques Use event-driven architecture to build distributed and scalable cloud native applications Explore the most commonly used patterns for API management and consumption Examine some of the tools and technologies you'll need for building cloud native systems

Author : Christian Floerkemeier
Publisher : Springer
ISBN 13 : 3540787313
Total Pages : 390 pages
Book Rating : 4.10/5 ( download)

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Download or read book The Internet of Things written by Christian Floerkemeier and published by Springer. This book was released on 2008-03-15 with total page 390 pages. Available in PDF, EPUB and Kindle. Book excerpt: ThisvolumecontainstheproceedingsoftheInternetofThings(IOT)Conference 2008, the ?rst international conference of its kind. The conference took place in Zurich,Switzerland, March26–28,2008. The term ‘Internet of Things’ hascome to describe a number of technologies and researchdisciplines that enable the - ternet to reach out into the real world of physical objects. Technologies such as RFID, short-range wireless communications, real-time localization, and sensor networks are becoming increasingly common, bringing the ‘Internet of Things’ into industrial, commercial, and domestic use. IOT 2008 brought together le- ing researchersand practitioners, from both academia and industry, to facilitate the sharing of ideas, applications, and research results. IOT 2008 attracted 92 high-quality submissions, from which the technical program committee accepted 23 papers, resulting in a competitive 25% acc- tance rate. In total, there were over 250 individual authors from 23 countries, representing both academic and industrial organizations. Papers were selected solely on the quality of their blind peer reviews. We were fortunate to draw on the combined experience of our 59 program committee members, coming from the most prestigious universities and research labs in Europe, North America, Asia, and Australia. Program committee members were aided by no less than 63 external reviewers in this rigorous process, in which each committee member wrote about 6 reviews. The total of 336 entered reviews resulted in an average of 3. 7 reviews per paper, or slightly more than 1000 words of feedback for each paper submitted.

Author : National Research Council
Publisher : National Academies Press
ISBN 13 : 0309287812
Total Pages : 191 pages
Book Rating : 4.14/5 ( download)

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Download or read book Frontiers in Massive Data Analysis written by National Research Council and published by National Academies Press. This book was released on 2013-09-03 with total page 191 pages. Available in PDF, EPUB and Kindle. Book excerpt: Data mining of massive data sets is transforming the way we think about crisis response, marketing, entertainment, cybersecurity and national intelligence. Collections of documents, images, videos, and networks are being thought of not merely as bit strings to be stored, indexed, and retrieved, but as potential sources of discovery and knowledge, requiring sophisticated analysis techniques that go far beyond classical indexing and keyword counting, aiming to find relational and semantic interpretations of the phenomena underlying the data. Frontiers in Massive Data Analysis examines the frontier of analyzing massive amounts of data, whether in a static database or streaming through a system. Data at that scale-terabytes and petabytes-is increasingly common in science (e.g., particle physics, remote sensing, genomics), Internet commerce, business analytics, national security, communications, and elsewhere. The tools that work to infer knowledge from data at smaller scales do not necessarily work, or work well, at such massive scale. New tools, skills, and approaches are necessary, and this report identifies many of them, plus promising research directions to explore. Frontiers in Massive Data Analysis discusses pitfalls in trying to infer knowledge from massive data, and it characterizes seven major classes of computation that are common in the analysis of massive data. Overall, this report illustrates the cross-disciplinary knowledge-from computer science, statistics, machine learning, and application disciplines-that must be brought to bear to make useful inferences from massive data.