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On Data Management in Pervasive Computing Environments

2005
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Release : 2005
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Book Synopsis On Data Management in Pervasive Computing Environments by :

Download or read book On Data Management in Pervasive Computing Environments written by . This book was released on 2005. Available in PDF, EPUB and Kindle. Book excerpt: 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.

On Peer-to-peer Data Management in Pervasive Computing Environments

2004 Peer-to-peer architecture (Computer networks)
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Release : 2004
Genre : Peer-to-peer architecture (Computer networks)
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Book Synopsis On Peer-to-peer Data Management in Pervasive Computing Environments by : Filip Perich

Download or read book On Peer-to-peer Data Management in Pervasive Computing Environments written by Filip Perich. This book was released on 2004. Available in PDF, EPUB and Kindle. Book excerpt:

Replicated Data Management for Mobile Computing

2008 Computers
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Release : 2008
Genre : Computers
Kind : eBook
Book Rating : 021/5 ( reviews)

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Book Synopsis Replicated Data Management for Mobile Computing by : Douglas Brian Terry

Download or read book Replicated Data Management for Mobile Computing written by Douglas Brian Terry. This book was released on 2008. Available in PDF, EPUB and Kindle. Book excerpt: 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

Data Management in Pervasive Systems

2015-10-17 Computers
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Release : 2015-10-17
Genre : Computers
Kind : eBook
Book Rating : 623/5 ( reviews)

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Book Synopsis Data Management in Pervasive Systems by : Francesco Colace

Download or read book Data Management in Pervasive Systems written by Francesco Colace. This book was released on 2015-10-17. 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.

Context-sensitive Quality Data Management for Pervasive Computing Environments

2007 Database management
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Release : 2007
Genre : Database management
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Book Synopsis Context-sensitive Quality Data Management for Pervasive Computing Environments by : John Martin O'Donoghue

Download or read book Context-sensitive Quality Data Management for Pervasive Computing Environments written by John Martin O'Donoghue. This book was released on 2007. Available in PDF, EPUB and Kindle. Book excerpt: 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.

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