P2P Techniques for Decentralized Applications

  • Book
  • © 2012

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Part of the book series: Synthesis Lectures on Data Management (SLDM)

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Table of contents (4 chapters)

About this book

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 Gossi** / Content Distribution in P2P Systems / Recommendation Systems / Top-k Query Processing in P2P Systems

Authors and Affiliations

  • INRIA and Lirmm, University of Montpellier 2, France

    Esther Pacitti

  • INRIA and Lirmm, Montpellier, France

    Reza Akbarinia

  • Lebanese University, Lebanon

    Manal El-Dick

About the authors

Esther Pacitti is a professor of computer science at University of Montpellier 2 pursuing research in large-scale distributed data management and head of a research team at Lirmm (University of Montpellier 2).She has served or is serving as program committee member of major international conferences and has edited an co-authored several books. She has also published a significant amount of technical papers and journal papers in well-known international conferences and journals. Reza Akbarinia is a research scientist at INRIA, France. He received his Ph.D. degree in Computer Science from the University of Nantes in 2007. His research focuses on data management in large-scale distributed systems (P2P, grid, cloud), in particular, query processing, uncertain data management, replication, etc. He has authored and co-authored several technical papers in main database conferences and journals, and has served as PC member in several important international conferences. Manal El-Dick receivedM.S. and Ph.D. degrees in computer science from the University of Nantes, France in 2006 and 2010, respectively. She is currently Associate Professor at the Lebanese University. Her research interests focus on practical and scalable protocols to cope with the recent and tremendous evolution of distributed systems. She is the author and co-author of several publications in peer-reviewed journals and international conferences.

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