P2P Techniques for Decentralized Applications [electronic resource] /
by Esther Pacitti, Reza Akbaranian, Manal El-Dick.
- 1st ed. 2012.
- XIII, 90 p. online resource.
- Synthesis Lectures on Data Management, 2153-5426 .
- Synthesis Lectures on Data Management, .
P2P Overlays, Query Routing, and Gossiping -- Content Distribution in P2P Systems -- Recommendation Systems -- Top-k Query Processing in P2P Systems.
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.
9783031018886
10.1007/978-3-031-01888-6 doi
Computer networks . Data structures (Computer science). Information theory. Computer Communication Networks. Data Structures and Information Theory.