P2P Techniques for Decentralized Applications (Synthesis Lectures on Data Management)

By Esther Pacitti, Reza Akbarinia, Manal El-Dick

Instead to conventional client-server structures, Peer-to-Peer (P2P) platforms offer significant benefits by way of scalability, autonomy and dynamic habit of associates, and decentralization of regulate. therefore, they're like minded for large-scale information sharing in dispensed environments. many of the latest P2P techniques for facts sharing depend on both based networks (e.g., DHTs) for effective indexing, or unstructured networks for ease of deployment, or a few mix. notwithstanding, those techniques have a few boundaries, akin to loss of freedom for information placement in DHTs, and excessive latency and excessive community site visitors in unstructured networks. to handle those barriers, gossip protocols that are effortless to install and scale good, might be exploited. during this publication, we'll supply an outline of those various P2P options and architectures, speak about their trade-offs, and illustrate their use for decentralizing a number of large-scale facts sharing applications.

Contents:
P2P Overlays, question Routing, and Gossiping / content material Distribution in P2P structures / suggestion platforms / Top-k question Processing in P2P platforms

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1 1. 1. 1 Unstructured . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2 1. 1. 2 based . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2 1. 1. three Super-peer . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . three 1. 1. four evaluating P2P Overlays . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . three question Routing . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . four 1. 2. 1 question Routing in Unstructured Overlays . . . . . . . . . . . . . . . . . . . . . . . . . . . . five 1.

18 1. five. 1 Locality-Aware Overlays . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 18 1. five. 2 Interest-Based Overlays . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 20 1. five. three P2P Overlay mixture . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 21 end . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 22 content material Distribution in P2P structures . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 25 2. 1 2. 2 2. three 2. four advent . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Insights on conventional content material Distribution .

Xm ) ≤ f (y1 , . . . , ym ) every time xi ≤ yi for each i. a few of the renowned aggregation services (such as Min, Max, and commonplace) are monotonic. four. 1. normal version FOR TOP-K QUERIES fifty nine The okay facts goods whose total rankings are the top between all info goods, are known as the top-k information goods. in lots of algorithms facts entry modes are used for examining the knowledge from looked after lists. the 1st mode is taken care of entry through which the following information merchandise within the looked after checklist is accessed. taken care of entry starts by way of having access to the 1st info merchandise of the checklist.

22 content material Distribution in P2P platforms . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 25 2. 1 2. 2 2. three 2. four advent . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Insights on conventional content material Distribution . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2. 2. 1 history on net Caching . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2. 2. 2 evaluate of CDN . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2. 2. three specifications and Open problems with CDN . . . . . . . . . . . . . . . . . . . . .

25 26 26 27 27 29 29 31 39 x three advice platforms . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . forty-one three. 1 three. 2 three. three three. four four assessment of advice . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . three. 1. 1 Collaborative Filtering . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . three. 1. 2 Content-based Filtering . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . three. 1. three Social Networks . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . P2P content material administration . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .

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