A Reproducible Benchmark for P2P Retrieval
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A Reproducible Benchmark for P2P RetrievalThomas Neumann Matthias Bender Sebastian MichelGerhard WeikumMax-Planck-Institut fur¨ InformatikJune 30, 2006Thomas Neumann (MPI fur¨ Informatik) A Reproducible Benchmark for P2P Retrieval 1 / 19Overview1. Motivation2. Setting3. Data Corpus and Queries4. Data Placement5. Experiments6. ConclusionThomas Neumann (MPI fur¨ Informatik) A Reproducible Benchmark for P2P Retrieval 2 / 19Motivation - P2P RetrievalPeer lists (directory)term a: 17, 11,92, ... url w: 7, 48, 21, ...term f: 43, 65, 92, … term c: 13, 92, 45, ...url y: 37, 44, 12, ...`term c: 13, 92, 45, ...Book- url x: 75, 43, 12, ...Marks B0Local index X0url v: 73, 105, 17, ...Thomas Neumann (MPI fur¨ Informatik) A Reproducible Benchmark for P2P Retrieval 3 / 19Motivation - CurrentI many papers about P2P retrievalThomas Neumann (MPI fur¨ Informatik) A Reproducible Benchmark for P2P Retrieval 4 / 19Motivation - CurrentI many papers about P2P retrievalTop 10 m ulticast1.00.8Threshold0.6TPUTTPUT+H ash0.40.20.0NLAN R−REAL WorldCup DEC−64 DEC−128 NLAN R−203 Berkley−512Thomas Neumann (MPI fur¨ Informatik) A Reproducible Benchmark for P2P Retrieval 4 / 19Tot al m essage sizeMotivation - CurrentI many papers about P2P retrievalGOV ,c=10%140,000DTA120,000TPUT100,000X−TPUT80,000 KLEE 3KLEE 460,00040,00020,0000234NumberofQuery TermsThomas Neumann (MPI fur¨ Informatik) A Reproducible Benchmark for P2P Retrieval 4 / 19Bandwidth ...

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Publié par
Nombre de lectures 26
Langue English

Extrait

TohamNsPIf¨urIneumann(MeRA)dorpmrofkitahmnckfaribucBelela/1irveRPtero2P
Max-Planck-Institutfu¨rInformatik
June 30, 2006
A Reproducible Benchmark for P2P Retrieval
19
Thomas Neumann Matthias Bender Sebastian Michel Gerhard Weikum
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Data Placement
Experiments
Setting
Motivation
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Conclusion
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Queries
Data Corpus and
Overview
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Motivation - Current
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Motivation - Current
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Motivation - Current
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Motivation - Current
existing retrieval benchmarks (e.g. TREC):
Imany papers about P2P retrieval Iall have different experiments Ino standard collection, no standard peer construction, no queries Iexperiments are hard to reproduce Iespecially peer construction is unclear
Ionly centralized Iassignment to peers hard to justify Inot freely available
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In particular specify: Isuitable data corpus Iassignment to peers Iqueries
Ifreely available, easily reproducible benchmark Iprefer real-world data Irealistic peer construction Istill allow for studying effects of overlap and peer size Inot a single data peer set, provide an algorithm
Motivation - Goals
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1.distributed, no central authority 2.independent peers, collaborate only ad-hoc 3.peers acquire data autonomously 4.some loose thematic focus per peer 5.of graph structure (e.g. the web)data with some kind 6.queries correspond to general user interests
9
Setting - Assumptions
What is a realistic P2P retrieval setting?
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