Special Issue Data Management In Peer To Peer Systems
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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
Data Management in Grid and Peer-to-Peer Systems
| Author | : Abdelkader Hameurlain |
| Publisher | : Springer Science & Business Media |
| Total Pages | : 127 |
| Release | : 2008-08-18 |
| Genre | : Business & Economics |
| ISBN | : 3540851755 |
This book constitutes the refereed proceedings of the First International Conference on Data Management in Grid and Peer-to-Peer Systems, Globe 2008, held in Turin, Italy, in September 2008. P2P and grid computing are important for scale distributed systems and applications that require effective management of voluminous, distributed, and heterogeneous data. The 10 revised full papers presented were carefully reviewed and selected from 23 submissions. The papers are organized in topical sections on P2P storage systems and caching, P2P data integration systems, querying in grid and P2P systems.
Transactions on Large-Scale Data- and Knowledge-Centered Systems III
| Author | : Abdelkader Hameurlain |
| Publisher | : Springer |
| Total Pages | : 246 |
| Release | : 2011-07-25 |
| Genre | : Computers |
| ISBN | : 3642230741 |
The LNCS journal Transactions on Large-Scale Data- and Knowledge-Centered Systems focuses on data management, knowledge discovery, and knowledge processing, which are core and hot topics in computer science. Since the 1990s, the Internet has become the main driving force behind application development in all domains. An increase in the demand for resource sharing across different sites connected through networks has led to an evolution of data- and knowledge-management systems from centralized systems to decentralized systems enabling large-scale distributed applications providing high scalability. Current decentralized systems still focus on data and knowledge as their main resource. Feasibility of these systems relies basically on P2P (peer-to-peer) techniques and the support of agent systems with scaling and decentralized control. Synergy between Grids, P2P systems, and agent technologies is the key to data- and knowledge-centered systems in large-scale environments. This, the third issue of Transactions on Large-Scale Data- and Knowledge-Centered Systems, contains two kinds of papers: Firstly, a selection of the best papers from the third International Conference on Data Management in Grid and Peer-to-Peer Systems, Globe 2010, and secondly, a selection of 6 papers from the 18 papers submitted in response to the call for papers for this issue. The topics covered by this special issue include replication, the semantic web, information retrieval, data storage, source selection, and large-scale distributed applications.
Transactions on Large-Scale Data- and Knowledge-Centered Systems III
| Author | : Abdelkader Hameurlain |
| Publisher | : Springer Science & Business Media |
| Total Pages | : 246 |
| Release | : 2011-08-02 |
| Genre | : Computers |
| ISBN | : 3642230733 |
The LNCS journal Transactions on Large-Scale Data- and Knowledge-Centered Systems focuses on data management, knowledge discovery, and knowledge processing, which are core and hot topics in computer science. Since the 1990s, the Internet has become the main driving force behind application development in all domains. An increase in the demand for resource sharing across different sites connected through networks has led to an evolution of data- and knowledge-management systems from centralized systems to decentralized systems enabling large-scale distributed applications providing high scalability. Current decentralized systems still focus on data and knowledge as their main resource. Feasibility of these systems relies basically on P2P (peer-to-peer) techniques and the support of agent systems with scaling and decentralized control. Synergy between Grids, P2P systems, and agent technologies is the key to data- and knowledge-centered systems in large-scale environments. This, the third issue of Transactions on Large-Scale Data- and Knowledge-Centered Systems, contains two kinds of papers: Firstly, a selection of the best papers from the third International Conference on Data Management in Grid and Peer-to-Peer Systems, Globe 2010, and secondly, a selection of 6 papers from the 18 papers submitted in response to the call for papers for this issue. The topics covered by this special issue include replication, the semantic web, information retrieval, data storage, source selection, and large-scale distributed applications.
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.
Stream Data Management
| Author | : Nauman Chaudhry |
| Publisher | : Springer Science & Business Media |
| Total Pages | : 179 |
| Release | : 2005-09-19 |
| Genre | : Computers |
| ISBN | : 0387252290 |
Researchers in data management have recently recognized the importance of a new class of data-intensive applications that requires managing data streams, i.e., data composed of continuous, real-time sequence of items. Streaming applications pose new and interesting challenges for data management systems. Such application domains require queries to be evaluated continuously as opposed to the one time evaluation of a query for traditional applications. Streaming data sets grow continuously and queries must be evaluated on such unbounded data sets. These, as well as other challenges, require a major rethink of almost all aspects of traditional database management systems to support streaming applications. Stream Data Management comprises eight invited chapters by researchers active in stream data management. The collected chapters provide exposition of algorithms, languages, as well as systems proposed and implemented for managing streaming data. Stream Data Management is designed to appeal to researchers or practitioners already involved in stream data management, as well as to those starting out in this area. This book is also suitable for graduate students in computer science interested in learning about stream data management.
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.
Journal of Database Management ( Vol 23 ISS 1)
| Author | : Keng Siau |
| Publisher | : IGI Publishing |
| Total Pages | : 134 |
| Release | : 2011-12 |
| Genre | : |
| ISBN | : 9781466614932 |
Secure Data Management in Decentralized Systems
| Author | : Ting Yu |
| Publisher | : Springer Science & Business Media |
| Total Pages | : 461 |
| Release | : 2007-05-11 |
| Genre | : Computers |
| ISBN | : 0387276963 |
The field of database security has expanded greatly, with the rapid development of global inter-networked infrastructure. Databases are no longer stand-alone systems accessible only to internal users of organizations. Today, businesses must allow selective access from different security domains. New data services emerge every day, bringing complex challenges to those whose job is to protect data security. The Internet and the web offer means for collecting and sharing data with unprecedented flexibility and convenience, presenting threats and challenges of their own. This book identifies and addresses these new challenges and more, offering solid advice for practitioners and researchers in industry.
