Proceedings Of The 12th Acm International Conference On Distributed And Event Based Systems

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Distributed Event-Based Systems

Author : Gero Mühl
Publisher : Springer Science & Business Media
ISBN 13 : 3540326537
Total Pages : 396 pages
Book Rating : 4.5/5 (43 download)

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Book Synopsis Distributed Event-Based Systems by : Gero Mühl

Download or read book Distributed Event-Based Systems written by Gero Mühl and published by Springer Science & Business Media. This book was released on 2006-08-02 with total page 396 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides an in-depth description of event-based systems, covering topics ranging from local event matching and distributed event forwarding algorithms, through a practical discussion of software engineering issues raised by the event-based style, to state-of-the-art research in event-based systems like composite event detection and security. The authors offer a comprehensive overview, and show the power of event-based architectures in modern system design, encouraging professionals to exploit this technique in next generation large-scale distributed applications like information dissemination, network monitoring, enterprise application integration, or mobile systems.

Streaming Systems

Author : Tyler Akidau
Publisher : "O'Reilly Media, Inc."
ISBN 13 : 1491983825
Total Pages : 362 pages
Book Rating : 4.4/5 (919 download)

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Book Synopsis Streaming Systems by : Tyler Akidau

Download or read book Streaming Systems written by Tyler Akidau and published by "O'Reilly Media, Inc.". This book was released on 2018-07-16 with total page 362 pages. Available in PDF, EPUB and Kindle. Book excerpt: Streaming data is a big deal in big data these days. As more and more businesses seek to tame the massive unbounded data sets that pervade our world, streaming systems have finally reached a level of maturity sufficient for mainstream adoption. With this practical guide, data engineers, data scientists, and developers will learn how to work with streaming data in a conceptual and platform-agnostic way. Expanded from Tyler Akidau’s popular blog posts "Streaming 101" and "Streaming 102", this book takes you from an introductory level to a nuanced understanding of the what, where, when, and how of processing real-time data streams. You’ll also dive deep into watermarks and exactly-once processing with co-authors Slava Chernyak and Reuven Lax. You’ll explore: How streaming and batch data processing patterns compare The core principles and concepts behind robust out-of-order data processing How watermarks track progress and completeness in infinite datasets How exactly-once data processing techniques ensure correctness How the concepts of streams and tables form the foundations of both batch and streaming data processing The practical motivations behind a powerful persistent state mechanism, driven by a real-world example How time-varying relations provide a link between stream processing and the world of SQL and relational algebra

Principles and Applications of Distributed Event-Based Systems

Author : Hinze, Annika M.
Publisher : IGI Global
ISBN 13 : 160566698X
Total Pages : 538 pages
Book Rating : 4.6/5 (56 download)

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Book Synopsis Principles and Applications of Distributed Event-Based Systems by : Hinze, Annika M.

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.

Artificial Intelligence: Models, Algorithms and Applications

Author : Terje Solsvik Kristensen
Publisher : Bentham Science Publishers
ISBN 13 : 1681088274
Total Pages : 176 pages
Book Rating : 4.6/5 (81 download)

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Book Synopsis Artificial Intelligence: Models, Algorithms and Applications by : Terje Solsvik Kristensen

Download or read book Artificial Intelligence: Models, Algorithms and Applications written by Terje Solsvik Kristensen and published by Bentham Science Publishers. This book was released on 2021-05-31 with total page 176 pages. Available in PDF, EPUB and Kindle. Book excerpt: Artificial Intelligence: Models, Algorithms and Applications presents focused information about applications of artificial intelligence (AI) in different areas to solve complex problems. The book presents 8 chapters that demonstrate AI based systems for vessel tracking, mental health assessment, radiology, instrumentation, business intelligence, education and criminology. The book concludes with a chapter on mathematical models of neural networks. The book serves as an introductory book about AI applications at undergraduate and graduate levels and as a reference for industry professionals working with AI based systems.

Introduction to Distributed Algorithms

Author : Gerard Tel
Publisher : Cambridge University Press
ISBN 13 : 9780521794831
Total Pages : 612 pages
Book Rating : 4.7/5 (948 download)

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Book Synopsis Introduction to Distributed Algorithms by : Gerard Tel

Download or read book Introduction to Distributed Algorithms written by Gerard Tel and published by Cambridge University Press. This book was released on 2000-09-28 with total page 612 pages. Available in PDF, EPUB and Kindle. Book excerpt: Distributed algorithms have been the subject of intense development over the last twenty years. The second edition of this successful textbook provides an up-to-date introduction both to the topic, and to the theory behind the algorithms. The clear presentation makes the book suitable for advanced undergraduate or graduate courses, whilst the coverage is sufficiently deep to make it useful for practising engineers and researchers. The author concentrates on algorithms for the point-to-point message passing model, and includes algorithms for the implementation of computer communication networks. Other key areas discussed are algorithms for the control of distributed applications (wave, broadcast, election, termination detection, randomized algorithms for anonymous networks, snapshots, deadlock detection, synchronous systems), and fault-tolerance achievable by distributed algorithms. The two new chapters on sense of direction and failure detectors are state-of-the-art and will provide an entry to research in these still-developing topics.

Machine Learning for Data Streams

Author : Albert Bifet
Publisher : MIT Press
ISBN 13 : 0262346052
Total Pages : 262 pages
Book Rating : 4.2/5 (623 download)

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Book Synopsis Machine Learning for Data Streams by : Albert Bifet

Download or read book Machine Learning for Data Streams written by Albert Bifet and published by MIT Press. This book was released on 2018-03-16 with total page 262 pages. Available in PDF, EPUB and Kindle. Book excerpt: A hands-on approach to tasks and techniques in data stream mining and real-time analytics, with examples in MOA, a popular freely available open-source software framework. Today many information sources—including sensor networks, financial markets, social networks, and healthcare monitoring—are so-called data streams, arriving sequentially and at high speed. Analysis must take place in real time, with partial data and without the capacity to store the entire data set. This book presents algorithms and techniques used in data stream mining and real-time analytics. Taking a hands-on approach, the book demonstrates the techniques using MOA (Massive Online Analysis), a popular, freely available open-source software framework, allowing readers to try out the techniques after reading the explanations. The book first offers a brief introduction to the topic, covering big data mining, basic methodologies for mining data streams, and a simple example of MOA. More detailed discussions follow, with chapters on sketching techniques, change, classification, ensemble methods, regression, clustering, and frequent pattern mining. Most of these chapters include exercises, an MOA-based lab session, or both. Finally, the book discusses the MOA software, covering the MOA graphical user interface, the command line, use of its API, and the development of new methods within MOA. The book will be an essential reference for readers who want to use data stream mining as a tool, researchers in innovation or data stream mining, and programmers who want to create new algorithms for MOA.

Reasoning in Event-Based Distributed Systems

Author : Sven Helmer
Publisher : Springer Science & Business Media
ISBN 13 : 364219723X
Total Pages : 318 pages
Book Rating : 4.6/5 (421 download)

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Book Synopsis Reasoning in Event-Based Distributed Systems by : Sven Helmer

Download or read book Reasoning in Event-Based Distributed Systems written by Sven Helmer and published by Springer Science & Business Media. This book was released on 2011-06-17 with total page 318 pages. Available in PDF, EPUB and Kindle. Book excerpt: With the rapid expansion of the Internet over the last 20 years, event-based distributed systems are playing an increasingly important role in a broad range of application domains, including enterprise management, environmental monitoring, information dissemination, finance, pervasive systems, autonomic computing, collaborative working and learning, and geo-spatial systems. Many different architectures, languages and technologies are being used for implementing event-based distributed systems, and much of the development has been undertaken independently by different communities. However, a common factor is an ever-increasing complexity. Users and developers expect that such systems are able not only to handle large volumes of simple events but also to detect complex patterns of events that may be spatially distributed and may span significant periods of time. Intelligent and logic-based approaches provide sound foundations for addressing many of the research challenges faced and this book covers a broad range of recent advances, contributed by leading experts in the field. It presents a comprehensive view of reasoning in event-based distributed systems, bringing together reviews of the state-of-the art, new research contributions, and an extensive set of references. It will serve as a valuable resource for students, faculty and researchers as well as industry practitioners responsible for new systems development.

Attribute-Based Access Control

Author : Vincent C. Hu
Publisher : Artech House
ISBN 13 : 1630814962
Total Pages : 285 pages
Book Rating : 4.6/5 (38 download)

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Book Synopsis Attribute-Based Access Control by : Vincent C. Hu

Download or read book Attribute-Based Access Control written by Vincent C. Hu and published by Artech House. This book was released on 2017-10-31 with total page 285 pages. Available in PDF, EPUB and Kindle. Book excerpt: This comprehensive new resource provides an introduction to fundamental Attribute Based Access Control (ABAC) models. This book provides valuable information for developing ABAC to improve information sharing within organizations while taking into consideration the planning, design, implementation, and operation. It explains the history and model of ABAC, related standards, verification and assurance, applications, as well as deployment challenges. Readers find authoritative insight into specialized topics including formal ABAC history, ABAC’s relationship with other access control models, ABAC model validation and analysis, verification and testing, and deployment frameworks such as XACML. Next Generation Access Model (NGAC) is explained, along with attribute considerations in implementation. The book explores ABAC applications in SOA/workflow domains, ABAC architectures, and includes details on feature sets in commercial and open source products. This insightful resource presents a combination of technical and administrative information for models, standards, and products that will benefit researchers as well as implementers of ABAC systems in the field.

Enterprise Big Data Engineering, Analytics, and Management

Author : Atzmueller, Martin
Publisher : IGI Global
ISBN 13 : 1522502947
Total Pages : 293 pages
Book Rating : 4.5/5 (225 download)

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Book Synopsis Enterprise Big Data Engineering, Analytics, and Management by : Atzmueller, Martin

Download or read book Enterprise Big Data Engineering, Analytics, and Management written by Atzmueller, Martin and published by IGI Global. This book was released on 2016-06-01 with total page 293 pages. Available in PDF, EPUB and Kindle. Book excerpt: The significance of big data can be observed in any decision-making process as it is often used for forecasting and predictive analytics. Additionally, big data can be used to build a holistic view of an enterprise through a collection and analysis of large data sets retrospectively. As the data deluge deepens, new methods for analyzing, comprehending, and making use of big data become necessary. Enterprise Big Data Engineering, Analytics, and Management presents novel methodologies and practical approaches to engineering, managing, and analyzing large-scale data sets with a focus on enterprise applications and implementation. Featuring essential big data concepts including data mining, artificial intelligence, and information extraction, this publication provides a platform for retargeting the current research available in the field. Data analysts, IT professionals, researchers, and graduate-level students will find the timely research presented in this publication essential to furthering their knowledge in the field.

Smart Trajectories

Author : Azedine Boulmakoul
Publisher : CRC Press
ISBN 13 : 1000817466
Total Pages : 402 pages
Book Rating : 4.0/5 (8 download)

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Book Synopsis Smart Trajectories by : Azedine Boulmakoul

Download or read book Smart Trajectories written by Azedine Boulmakoul and published by CRC Press. This book was released on 2022-12-30 with total page 402 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book highlights the developments, discoveries, and practical and advanced experiences related to responsive distributed computing and how it can support the deployment of trajectory-based applications in smart systems. Smart Trajectories: Metamodeling, Reactive Architecture for Analytics and Smart Applications deals with the representation and manipulation of smart trajectories in various applications and scenarios. Presented in three parts, the book first discusses the foundation and principles for spatial information systems, complex event processing, and building a reactive architecture. Next, the book discusses modeling and architecture in relation to smart trajectory metamodeling, mining and big trajectory data, and clustering trajectories. The final section discusses advanced applications and trends in the field, including congestion trajectory analytics and real-time Big Data analytics in cloud ecosystems. Metamodeling, distributed architectures, reactive programming, Big Data analytics, NoSQL databases, connected objects, and edge-fog-cloud computing form the basis of the concepts and applications discussed. The book also presents a number of case studies to demonstrate smart trajectories related to spatiotemporal events such as traffic congestion and pedestrian accidents. This book is intended for graduate students in computer engineering, spatial databases, complex event processing, distributed systems, and geographical information systems (GIS). The book will also be useful for practicing traffic engineers, city managers, and environmental engineers interested in monitoring and security analysis.

Advanced Analytics and Learning on Temporal Data

Author : Vincent Lemaire
Publisher : Springer Nature
ISBN 13 : 3030390985
Total Pages : 236 pages
Book Rating : 4.0/5 (33 download)

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Book Synopsis Advanced Analytics and Learning on Temporal Data by : Vincent Lemaire

Download or read book Advanced Analytics and Learning on Temporal Data written by Vincent Lemaire and published by Springer Nature. This book was released on 2020-01-22 with total page 236 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the 4th ECML PKDD Workshop on Advanced Analytics and Learning on Temporal Data, AALTD 2019, held in Würzburg, Germany, in September 2019. The 7 full papers presented together with 9 poster papers were carefully reviewed and selected from 31 submissions. The papers cover topics such as temporal data clustering; classification of univariate and multivariate time series; early classification of temporal data; deep learning and learning representations for temporal data; modeling temporal dependencies; advanced forecasting and prediction models; space-temporal statistical analysis; functional data analysis methods; temporal data streams; interpretable time-series analysis methods; dimensionality reduction, sparsity, algorithmic complexity and big data challenge; and bio-informatics, medical, energy consumption, on temporal data.

Proceedings of the 12th ACM International Conference on Distributed and Event-based Systems

Author : Association for Computing Machinery
Publisher :
ISBN 13 :
Total Pages : 0 pages
Book Rating : 4.:/5 (139 download)

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Book Synopsis Proceedings of the 12th ACM International Conference on Distributed and Event-based Systems by : Association for Computing Machinery

Download or read book Proceedings of the 12th ACM International Conference on Distributed and Event-based Systems written by Association for Computing Machinery and published by . This book was released on 2018 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt:

S-BPM ONE -- Scientific Research

Author : Alexandros Nanopoulos
Publisher : Springer
ISBN 13 : 3319060651
Total Pages : 194 pages
Book Rating : 4.3/5 (19 download)

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Book Synopsis S-BPM ONE -- Scientific Research by : Alexandros Nanopoulos

Download or read book S-BPM ONE -- Scientific Research written by Alexandros Nanopoulos and published by Springer. This book was released on 2014-04-08 with total page 194 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the thoroughly refereed scientific proceedings of the 6th International Conference on Subject-Oriented Business Process Management, S-BPM ONE 2014, held in Eichstätt, Germany, in April 2014. The 13 papers presented in this volume were carefully reviewed and selected from 43 contributions. They explore the many facets of network-driven business process management, in particular issues related to correctness, interchange and transformation of business models, as well as dynamic handling of changes through agile process management.

State of the Art in AI Applied to Ambient Intelligence

Author : A. Aztiria
Publisher : IOS Press
ISBN 13 : 1614998043
Total Pages : 184 pages
Book Rating : 4.6/5 (149 download)

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Book Synopsis State of the Art in AI Applied to Ambient Intelligence by : A. Aztiria

Download or read book State of the Art in AI Applied to Ambient Intelligence written by A. Aztiria and published by IOS Press. This book was released on 2017-10-12 with total page 184 pages. Available in PDF, EPUB and Kindle. Book excerpt: We are moving towards a future where environments respond to human preferences and needs. In this world, smart devices equipped with intelligent features and the capability to sense, communicate with and support humans in daily activities will be unremarkable. We already expect our cars to warn us of hazards, track our location and provide timely route advice, and in future we will speak to simple machines and hold conversations with more complex systems, such as intelligent homes, which will help us to monitor conditions, track routine tasks, and program the heating, lighting, garden watering and entertainment centre. But questions have been raised in recent years as to how intelligent these so called smart systems or ambient intelligence environments really are. This book, State of the Art in AI Applied to Ambient Intelligence, part of the outcome of the Workshop on Artificial Intelligence Techniques for Ambient Intelligence (AITAmI) which has now run for 10 consecutive editions, aims to provide a clear picture of what has been achieved after a decade of discussion. It is representative of the diversity of approaches and issues which are currently being considered, and also indicates those avenues which are the most promising for exploration in the next decade. The book provides all those working in the field with an up-to-date reference where they will find inspiration to create better systems for the society of tomorrow.

New Frontiers in Cloud Computing and Internet of Things

Author : Rajkumar Buyya
Publisher : Springer Nature
ISBN 13 : 3031055284
Total Pages : 410 pages
Book Rating : 4.0/5 (31 download)

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Book Synopsis New Frontiers in Cloud Computing and Internet of Things by : Rajkumar Buyya

Download or read book New Frontiers in Cloud Computing and Internet of Things written by Rajkumar Buyya and published by Springer Nature. This book was released on 2022-09-26 with total page 410 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides an account of the latest developments in IoT and cloud computing, and their practical applications in various industrial, scientific, business, education, and government domains. The book covers the advanced research and state of the art review of the latest developments in IoT and cloud computing and how they might be employed post-COVID era. The book also identifies challenges and their solutions in this era, shaping the direction for future research and offering emerging topics to investigate further. The book serves as a reference for a broader audience such as researchers, application designers, solution architects, teachers, graduate students, enthusiasts, practitioners, IT managers, decision-makers and policymakers. The book editors are pioneers in the fields of IoT and Cloud computing. Provides an account of the latest developments in IoT and cloud computing and how it can aid in a COVID-19 Era in a variety of applications; Identifies IoT and cloud computing challenges and their solutions, shaping the direction for future research; Serves as a reference for researchers, application designers, solution architects, teachers, and graduate students.

Foundations & Principles of Distributed Manufacturing

Author : Hermann Kühnle
Publisher : Springer
ISBN 13 : 3319180789
Total Pages : 133 pages
Book Rating : 4.3/5 (191 download)

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Book Synopsis Foundations & Principles of Distributed Manufacturing by : Hermann Kühnle

Download or read book Foundations & Principles of Distributed Manufacturing written by Hermann Kühnle and published by Springer. This book was released on 2015-04-16 with total page 133 pages. Available in PDF, EPUB and Kindle. Book excerpt: The book presents a coherent description of distributed manufacturing, providing a solid base for further research on the subject as well as smart implementations in companies. It provides a guide for those researching and working in a range of fields, such as smart manufacturing, cloud computing, RFID tracking, distributed automation, cyber physical production and global design anywhere, manufacture anywhere solutions. Foundations & Principles of Distributed Manufacturing anticipates future advances in the fields of embedded systems, the Internet of Things and cyber physical systems, outlining how adopting these innovations could rapidly bring about improvements in key performance indicators, which could in turn generate competition pressure by rendering successful business models obsolete. In laying the groundwork for powerful theoretical models, high standards for the homogeneity and soundness of the suggested setups are applied. The book especially elaborates on the upcoming competition in online manufacturing operations and respective control procedures. By outlining encapsulation and evolving decision-making principles, Foundations & Principles of Distributed Manufacturing fully conceptualizes the view of manufacturing networks as sets of loosely coupled interacting smart factory objects. Moreover, the book provides concrete approaches to a number of future fields, where distributed manufacturing might be applied. Both researchers and professionals will profit from the authors’ broad experience in Distributed Manufacturing and Fractal Enterprise implementations, where they initiated and completed a number of successful research projects: within the global Intelligent Manufacturing Systems (IMS) scheme, within the European Research Area frameworks as well as national contexts, and both in industry and at leading research institutions. This background ensures well-founded theory on one hand and valuable practical results on the other in a fascinating area that is still under intensive research. Readers will acquire essential insights as well as useful guidance for categorizing and specifying extended distributed manufacturing solutions and their professional implementations.

Real-Time Intelligence for Heterogeneous Networks

Author : Fadi Al-Turjman
Publisher : Springer Nature
ISBN 13 : 3030756149
Total Pages : 180 pages
Book Rating : 4.0/5 (37 download)

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Book Synopsis Real-Time Intelligence for Heterogeneous Networks by : Fadi Al-Turjman

Download or read book Real-Time Intelligence for Heterogeneous Networks written by Fadi Al-Turjman and published by Springer Nature. This book was released on 2021-09-02 with total page 180 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book discusses several exciting research topics and applications in the intelligent Heterogenous Networks (Het-Net) and Internet of Things (IoT) era. We are resolving significant issues towards realizing the future vision of the Artificial Intelligence (AI) in IoT-enabled spaces. Such AI-powered IoT solutions will be employed in satisfying critical conditions towards further advances in our daily smart life. This book overviews the associated issues and proposes the most up to date alternatives. The objective is to pave the way for AI-powered IoT-enabled spaces in the next generation Het-Net technologies and open the door for further innovations. The book presents the latest advances and research into heterogeneous networks in critical IoT applications. It discusses the most important problems, challenges, and issues that arise when designing real-time intelligent heterogeneous networks for diverse scenarios.