Data Management In Pervasive Systems
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Data Management In Pervasive Systems
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Author : Francesco Colace
language : en
Publisher: Springer
Release Date : 2015-10-17
Data Management In Pervasive Systems written by Francesco Colace and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015-10-17 with Computers categories.
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.
Advances In Data Management
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Author : Zbigniew W Ras
language : en
Publisher: Springer Science & Business Media
Release Date : 2009-10-27
Advances In Data Management written by Zbigniew W Ras and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2009-10-27 with Computers categories.
Data Management is the process of planning, coordinating and controlling data resources. More often, applications need to store and search a large amount of data. Managing Data has been continuously challenged by demands from various areas and applications and has evolved in parallel with advances in hardware and computing techniques. This volume focuses on its recent advances and it is composed of five parts and a total of eighteen chapters. The first part of the book contains five contributions in the area of information retrieval and Web intelligence: a novel approach to solving index selection problem, integrated retrieval from Web of documents and data, bipolarity in database querying, deriving data summarization through ontologies, and granular computing for Web intelligence. The second part of the book contains four contributions in knowledge discovery area. Its third part contains three contributions in information integration and data security area. The remaining two parts of the book contain six contributions in the area of intelligent agents and applications of data management in medical domain.
On Data Management In Pervasive Computing Environments
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Author :
language : en
Publisher:
Release Date : 2005
On Data Management In Pervasive Computing Environments written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2005 with categories.
This paper presents a framework to address new data management challenges introduced by data-intensive pervasive computing environments. These challenges include a spatio-temporal variation of data and data source availability lack of a global catalog and schema and no guarantee of reconnection among peers due to the serendipitous nature of the environment. An important aspect of our solution is to treat devices as semi-autonomous peers guided in their interactions by profiles and context. The profiles are grounded in a semantically rich language and represent information about users. devices and data described in terms of "beliefs", "desires", and "intentions". We present a prototype implementation of this framework over combined Bluetooth and Ad-Hoc 802.11 networks. and present experimental and simulation results that validate our approach and measure system performance.
Context Sensitive Quality Data Management For Pervasive Computing Environments
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Author : John Martin O'Donoghue
language : en
Publisher:
Release Date : 2007
Context Sensitive Quality Data Management For Pervasive Computing Environments written by John Martin O'Donoghue and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2007 with Database management categories.
Ubiquitous environments generate large quantities of data, originating from backend servers, portable devices and wireless mobile sensors. Pervasive sensing devices that monitor properties of the environment (including human beings) can produce a large data source. The unprocessed datasets may include data that is faulty and irrelevant, and data that is important and useful. If not managed correctly the large amount of data from a data-rich pervasive environment may result in information overload or delivery of incorrect information. Context-sensitive quality data management aims to gather, verify, process, and manage the multiple data sources in a pervasive environment in order to deliver high quality, relevant information to the end user. Managing the quality of data from different sources, correlating related data and making use of context are all essential in providing end users with accurate and meaningful data in real-time. This requirement is especially true for critical applications such as in a medical environment. This thesis presents the Data Management System (DMS) architecture. It is designed to deliver a quality of data service to its users. The DMS architecture employs an agent based middleware to intelligently and effectively manage all pervasive data sources, and to make use of context to deliver relevant information to the end-user. DMS components have been designed to manage: data validation; data consistency; context-based data delivery; knowledge management and distributed processing. The DMS components have been rigorously evaluated using various medical-based test cases. This thesis demonstrates a careful, precise approach to data based on the quality of the data and the context of its use. It emphasises the DMS architecture and the role of software agents in providing quality data management.
Risk Assessment And Management In Pervasive Computing
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Author : Varuna Godara
language : en
Publisher: IGI Global
Release Date : 2009-01-01
Risk Assessment And Management In Pervasive Computing written by Varuna Godara and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2009-01-01 with Business & Economics categories.
"This book provides extensive information about pervasive computing, its implications from operational, legal and ethical perspective so that current and future pervasive service providers can make responsible decisions about where, when and how to use this technology"--Provided by publisher.
Pervasive Computing
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Author :
language : en
Publisher:
Release Date : 2005
Pervasive Computing written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2005 with Embedded computer systems categories.
Mobile Data Management
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Author :
language : en
Publisher:
Release Date : 2001
Mobile Data Management written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2001 with Database management categories.
Replicated Data Management For Mobile Computing
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Author : Terry Douglas
language : en
Publisher: Morgan & Claypool Publishers
Release Date : 2008-06-08
Replicated Data Management For Mobile Computing written by Terry Douglas and has been published by Morgan & Claypool Publishers this book supported file pdf, txt, epub, kindle and other format this book has been release on 2008-06-08 with Technology & Engineering categories.
Managing data in a mobile computing environment invariably involves caching or replication. In many cases, a mobile device has access only to data that is stored locally, and much of that data arrives via replication from other devices, PCs, and services. Given portable devices with limited resources, weak or intermittent connectivity, and security vulnerabilities, data replication serves to increase availability, reduce communication costs, foster sharing, and enhance survivability of critical information. Mobile systems have employed a variety of distributed architectures from client–server caching to peer-to-peer replication. Such systems generally provide weak consistency models in which read and update operations can be performed at any replica without coordination with other devices. The design of a replication protocol then centers on issues of how to record, propagate, order, and filter updates. Some protocols utilize operation logs, whereas others replicate state. Systems might provide best-effort delivery, using gossip protocols or multicast, or guarantee eventual consistency for arbitrary communication patterns, using recently developed pairwise, knowledge-driven protocols. Additionally, systems must detect and resolve the conflicts that arise from concurrent updates using techniques ranging from version vectors to read–write dependency checks. This lecture explores the choices faced in designing a replication protocol, with particular emphasis on meeting the needs of mobile applications. It presents the inherent trade-offs and implicit assumptions in alternative designs. The discussion is grounded by including case studies of research and commercial systems including Coda, Ficus, Bayou, Sybase’s iAnywhere, and Microsoft’s Sync Framework. Table of Contents: Introduction / System Models / Data Consistency / Replicated Data Protocols / Partial Replication / Conflict Management / Case Studies / Conclusions / Bibliography
Pervasive Computing
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Author : Ciprian Dobre
language : en
Publisher: Morgan Kaufmann
Release Date : 2016-05-06
Pervasive Computing written by Ciprian Dobre and has been published by Morgan Kaufmann this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-05-06 with Computers categories.
Pervasive Computing: Next Generation Platforms for Intelligent Data Collection presents current advances and state-of-the-art work on methods, techniques, and algorithms designed to support pervasive collection of data under ubiquitous networks of devices able to intelligently collaborate towards common goals. Using numerous illustrative examples and following both theoretical and practical results the authors discuss: a coherent and realistic image of today's architectures, techniques, protocols, components, orchestration, choreography, and developments related to pervasive computing components for intelligently collecting data, resource, and data management issues; the importance of data security and privacy in the era of big data; the benefits of pervasive computing and the development process for scientific and commercial applications and platforms to support them in this field. Pervasive computing has developed technology that allows sensing, computing, and wireless communication to be embedded in everyday objects, from cell phones to running shoes, enabling a range of context-aware applications. Pervasive computing is supported by technology able to acquire and make use of the ubiquitous data sensed or produced by many sensors blended into our environment, designed to make available a wide range of new context-aware applications and systems. While such applications and systems are useful, the time has come to develop the next generation of pervasive computing systems. Future systems will be data oriented and need to support quality data, in terms of accuracy, latency and availability. Pervasive Computing is intended as a platform for the dissemination of research efforts and presentation of advances in the pervasive computing area, and constitutes a flagship driver towards presenting and supporting advanced research in this area. Indexing: The books of this series are submitted to EI-Compendex and SCOPUS - Offers a coherent and realistic image of today's architectures, techniques, protocols, components, orchestration, choreography, and development related to pervasive computing - Explains the state-of-the-art technological solutions necessary for the development of next-generation pervasive data systems, including: components for intelligently collecting data, resource and data management issues, fault tolerance, data security, monitoring and controlling big data, and applications for pervasive context-aware processing - Presents the benefits of pervasive computing, and the development process of scientific and commercial applications and platforms to support them in this field - Provides numerous illustrative examples and follows both theoretical and practical results to serve as a platform for the dissemination of research advances in the pervasive computing area
Encyclopedia Of Database Technologies And Applications
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Author : Laura C. Rivero
language : en
Publisher: IGI Global
Release Date : 2006
Encyclopedia Of Database Technologies And Applications written by Laura C. Rivero and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2006 with Computers categories.
The Encyclopedia of Database Technologies and Applications is a wide-ranging collection of a diverse coverage of topics related to database concepts, technologies, and applications. This encyclopedia provides an overview of the state-of-the-art of classical subjects. It has contributions from over 175 international researchers from 33 countries, and includes more than 970 terms and definitions and over 2,400 references, This encyclopedia also delivers clear and concise explanations of emerging issues and technologies such as multimedia database systems, data warehousing and mining, geospatial and temporal databases, and data reverse engineering. The Encyclopedia of Database Technologies and Applications is a single reference source for any library on the topic of database technologies and applications.