Peer-to-Peer Data Management

Peer-to-Peer Data Management
Author: Karl Aberer
Publisher: Springer Nature
Total Pages: 138
Release: 2022-05-31
Genre: Computers
ISBN: 3031018478

This lecture introduces systematically into the problem of managing large data collections in peer-to-peer systems. Search over large datasets has always been a key problem in peer-to-peer systems and the peer-to-peer paradigm has incited novel directions in the field of data management. This resulted in many novel peer-to-peer data management concepts and algorithms, for supporting data management tasks in a wider sense, including data integration, document management and text retrieval. The lecture covers four different types of peer-to-peer data management systems that are characterized by the type of data they manage and the search capabilities they support. The first type are structured peer-to-peer data management systems which support structured query capabilities for standard data models. The second type are peer-to-peer data integration systems for querying of heterogeneous databases without requiring a common global schema. The third type are peer-to-peer document retrieval systems that enable document search based both on the textual content and the document structure. Finally, we introduce semantic overlay networks, which support similarity search on information represented in hierarchically organized and multi-dimensional semantic spaces. Topics that go beyond data representation and search are summarized at the end of the lecture. Table of Contents: Introduction / Structured Peer-to-Peer Databases / Peer-to-peer Data Integration / Peer-to-peer Retrieval / Semantic Overlay Networks / Conclusion

P2P Techniques for Decentralized Applications

P2P Techniques for Decentralized Applications
Author: Esther Pacitti
Publisher: Morgan & Claypool Publishers
Total Pages: 106
Release: 2012-04-15
Genre: Technology & Engineering
ISBN: 1608458237

As an alternative to traditional client-server systems, Peer-to-Peer (P2P) systems provide major advantages in terms of scalability, autonomy and dynamic behavior of peers, and decentralization of control. Thus, they are well suited for large-scale data sharing in distributed environments. Most of the existing P2P approaches for data sharing rely on either structured networks (e.g., DHTs) for efficient indexing, or unstructured networks for ease of deployment, or some combination. However, these approaches have some limitations, such as lack of freedom for data placement in DHTs, and high latency and high network traffic in unstructured networks. To address these limitations, gossip protocols which are easy to deploy and scale well, can be exploited. In this book, we will give an overview of these different P2P techniques and architectures, discuss their trade-offs, and illustrate their use for decentralizing several large-scale data sharing applications. Table of Contents: P2P Overlays, Query Routing, and Gossiping / Content Distribution in P2P Systems / Recommendation Systems / Top-k Query Processing in P2P Systems

Data Management in Grid and Peer-to-Peer Systems

Data Management in Grid and Peer-to-Peer Systems
Author: Abdelkader Hameurlain
Publisher: Springer
Total Pages: 144
Release: 2011-08-28
Genre: Computers
ISBN: 3642229476

This book constitutes the refereed proceedings of the 4th International Conference on Data Management in Grid and Peer-to-Peer Systems, Globe 2011, held in Toulouse, France, in September 2011 in conjunction with DEXA 2011. The 12 revised full papers presented were carefully reviewed and selected from 18 submissions. The papers are organized in topical sections on data storage and replication, semantics for P2P systems and performance evaluation, resource discovery and routing in mobile P2P networks, and data stream systems and large-scale distributed applications.

Peer-to-Peer Systems and Applications

Peer-to-Peer Systems and Applications
Author: Ralf Steinmetz
Publisher: Springer Science & Business Media
Total Pages: 626
Release: 2005-09-29
Genre: Computers
ISBN: 354029192X

Starting with Napster and Gnutella, peer-to-peer systems became an integrated part of the Internet fabric attracting millions of users. This book provides an introduction to the field. It draws together prerequisites from various fields, presents techniques and methodologies, and gives an overview on the applications of the peer-to-peer paradigm.

Semantic Web and Peer-to-Peer

Semantic Web and Peer-to-Peer
Author: Steffen Staab
Publisher: Springer Science & Business Media
Total Pages: 359
Release: 2006-03-28
Genre: Computers
ISBN: 3540283471

Just like the industrial society of the last century depended on natural resources, today’s society depends on information and its exchange. Staab and Stuckenschmidt structured the selected contributions into four parts: Part I, "Data Storage and Access", prepares the semantic foundation, i.e. data modelling and querying in a flexible and yet scalable manner. These foundations allow for dealing with the organization of information at the individual peers. Part II, "Querying the Network", considers the routing of queries, as well as continuous queries and personalized queries under the conditions of the permanently changing topological structure of a peer-to-peer network. Part III, "Semantic Integration", deals with the mapping of heterogeneous data representations. Finally Part IV, "Methodology and Systems", reports experiences from case studies and sample applications. The overall result is a state-of-the-art description of the potential of Semantic Web and peer-to-peer technologies for information sharing and knowledge management when applied jointly.

Principles of Distributed Database Systems

Principles of Distributed Database Systems
Author: M. Tamer Özsu
Publisher: Springer Science & Business Media
Total Pages: 856
Release: 2011-02-24
Genre: Computers
ISBN: 1441988343

This third edition of a classic textbook can be used to teach at the senior undergraduate and graduate levels. The material concentrates on fundamental theories as well as techniques and algorithms. The advent of the Internet and the World Wide Web, and, more recently, the emergence of cloud computing and streaming data applications, has forced a renewal of interest in distributed and parallel data management, while, at the same time, requiring a rethinking of some of the traditional techniques. This book covers the breadth and depth of this re-emerging field. The coverage consists of two parts. The first part discusses the fundamental principles of distributed data management and includes distribution design, data integration, distributed query processing and optimization, distributed transaction management, and replication. The second part focuses on more advanced topics and includes discussion of parallel database systems, distributed object management, peer-to-peer data management, web data management, data stream systems, and cloud computing. New in this Edition: • New chapters, covering database replication, database integration, multidatabase query processing, peer-to-peer data management, and web data management. • Coverage of emerging topics such as data streams and cloud computing • Extensive revisions and updates based on years of class testing and feedback Ancillary teaching materials are available.

Global Data Management

Global Data Management
Author: R. Baldoni
Publisher: IOS Press
Total Pages: 376
Release: 2006-07-26
Genre: Business & Economics
ISBN: 160750183X

An unforeseen growth of the volume and diversity of the data, content and knowledge is being generated all over the globe. Several factors lead to this growing complexity, among them: Size (the sheer increase in the numbers of knowledge producers and users, and in their production / use capabilities); Pervasiveness (in space and time of knowledge, knowledge producers and users); Dynamicity (new and old knowledge items will appear and disappear virtually at any moment); and Unpredictability (the future dynamics of knowledge are unknown not only at design time but also at run time). The situation is made worse by the fact that the complexity of knowledge grows exponentially with the number of interconnected components. The traditional approach of knowledge management and engineering is top-down and centralised, and depends on fixing at design time what can be expressed and how. Global Data Management is playing a crucial role in the development of our networked distributed society. Its importance has been recognised in the IST programme since several years, in particular in its long-term research part, Future and Emerging Technologies (FET). Many of the papers included in this book refer to IST and FET projects currently running or recently completed.

Soft Computing in XML Data Management

Soft Computing in XML Data Management
Author: Zongmin Ma
Publisher: Springer
Total Pages: 353
Release: 2010-09-07
Genre: Technology & Engineering
ISBN: 3642140106

Being the de-facto standard for data representation and exchange over the Web, XML (Extensible Markup Language) allows the easy development of applications that exchange data over the Web. This creates a set of data management requirements involving XML. XML and related standards have been extensively applied in many business, service, and multimedia applications. As a result, a large volume of data is managed today directly in XML format. With the wide and in-depth utilization of XML in diverse application domains, some particularities of data management in concrete applications emerge, which challenge current XML technology. This is very similar with the situation that some database models and special database systems have been developed so that databases can satisfy the need of managing diverse data well. In data- and knowledge- intensive application systems, one of the challenges can be generalized as the need to handle imprecise and uncertain information in XML data management by applying fuzzy logic, probability, and more generally soft computing. Currently, two kinds of situations are roughly identified in soft computing for XML data management: applying soft computing for the intelligent processing of classical XML data; applying soft computing for the representation and processing of imprecise and uncertain XML data. For the former, soft computing can be used for flexible query of XML document as well as XML data mining, XML duplicate detection, and so on.

The Semantic Web for Knowledge and Data Management

The Semantic Web for Knowledge and Data Management
Author: Ma, Zongmin
Publisher: IGI Global
Total Pages: 386
Release: 2008-08-31
Genre: Computers
ISBN: 1605660299

Provides a single record of technologies and practices of the Semantic approach to the management, organization, interpretation, retrieval, and use of Web-based data.

Current Trends in Database Technology - EDBT 2004 Workshops

Current Trends in Database Technology - EDBT 2004 Workshops
Author: Wolfgang Lindner
Publisher: Springer Science & Business Media
Total Pages: 626
Release: 2004-12
Genre: Computers
ISBN: 3540233059

This book constitutes the thoroughly refereed joint post-proceedings of five workshops held as part of the 9th International Conference on Extending Database Technology, EDBT 2004, held in Heraklion, Crete, Greece, in March 2004. The 55 revised full papers presented together with 2 invited papers and the summaries of 2 panels were selected from numerous submissions during two rounds of reviewing and revision. In accordance with the topical focus of the respective workshops, the papers are organized in sections on database technology in general (PhD Workshop), database technologies for handling XML information on the Web, pervasive information management, peer-to-peer computing and databases, and clustering information over the Web.