Details

Peer-to-Peer Computing for Mobile Networks

Information Discovery and Dissemination

von: Maria Papadopouli, Henning Schulzrinne
96,29 €
Verlag:	Springer
Format:	PDF
Veröffentl.:	27.02.2009
ISBN/EAN:	9780387685045
Sprache:	englisch
Anzahl Seiten:	214

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Beschreibungen

Titelbeschreibung

“This world! This small world the great!” Odysseus Elytis 1. 1 Wireless data communications In the 19th century, the advent of the telegraph and telephone forever changed how messages were transmitted around the world. Radio, television, c- puters, and the Internet further revolutionized communication in the 20th 1 century. Equally important, the e?ect of Moore’s law is transforming a niche technology into a ubiquitous one, expanding the innovations in an increasingly networked world. Wireless devices are becoming smaller, easier to use and p- vasive. In e?ect, people are depending more and more on wireless information wherever they are. At the dawn of the 21st century, pervasive computing weaves itself into our lives [352, 6, 4, 29, 42, 48, 23, 50, 47, 38, 19, 22, 18]. Today people access local and international news, tra?c or weather - ports, sports, maps, guide books, music, video ?les and games via the Int- net [27, 52]. Data volume—medical data, personal multimedia, surveillance for urban areas, web data—is exploding. Similarly, the importance of meta-data, i. e. , semantic annotations of what this data means, is also rapidly growing. Analysts expect the growth in mobile location-based services in the European market to reach 622 million euros in 2010, estimating that 18 million users in Europe will subscribe to location-based billing plans by then.

Inhaltsverzeichnis

7DS architecture for information sharing.- Performance analysis of information discovery and dissemination.- Empirically-based measurements on wireless demand.- Modeling the wireless user demand.- Conclusions and future work.

Back cover copy

Wireless devices are becoming smaller, more user-friendly and more pervasive. Wireless networks have been rapidly deployed for providing wireless Internet access. Peer-to-Peer Computing for Mobile Networks: Information Discovery and Dissemination explores two main research domains: mobile peer-to-peer computing and wireless networking measurements and modelling.
This work presents a novel framework for mobile data discovery based on the peer-to-peer paradigm. It is designed for mobile devices that experience loss of connectivity to the Internet. It then analyzes the workload and access in large-scale wireless networks through extensive real-life measurement studies. Finally, it presents a methodology for modelling the wireless demand and access patterns.
Peer-to-Peer Computing for Mobile Networks: Information Discovery and Dissemination is designed for a professional audience composed of researchers and practitioners in industry. It is also suitable as an advanced-level text or reference book for students in computer science and electrical engineering.

Sonderbeitrag

Introduces a resource sharing mechanism, including architecture, set of protocols and implementation that enables mobile devices to share resources to enhance data availability and access Presents exciting research challenges on peer-to-peer systems, location-dependent applications, and mobile computing

Verkaufsargumente

Wireless devices are becoming smaller, more user-friendly and more pervasive. This book presents and discusses research results on data dissemination in mobile networks and peer-to-peer systems for mobile devices. The main focus is a novel resource-sharing mechanism for mobile devices that introduces a new paradigm of information-sharing cooperation among mobile devices not necessarily connected to the internet. The authors discuss ho to accelerate the data availability and enhance the dissemination and discovery of information when mobile hosts face changes in the availability of bandwidth and loss of connectivity to the Internet. The book is designed for researchers and practitioners in industry, and is also suitable for advanced-level students in computer science and electrical engineering.