A methodology for workload characterization of file-sharing peer-to-peer networks
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1 A methodology for workload characterization of file-sharing peer-to-peer networks Diêgo Nogueira, Leonardo Rocha, Juliano Santos, Paulo Araújo, Virgílio Almeida, Wagner Meira Jr. Department of Computer Science Federal University of Minas Gerais - Brazil e-commerce, system performance evaluation, and experimental development lab Index 1
2 What is peer-to-peer (P2P)? Class of distributed applications on the Internet peers act as both servers and clients (servent) servents share computational resources particular features: dual role of servents totally distributed processing nature dynamic nature e-commerce, system performance evaluation, and experimental development lab Index 2
3 Why characterize P2P networks? growth of P2P networks (especially file-sharing) lack of characterization methodologies provide important information for further research e-commerce, system performance evaluation, and experimental development lab Index 3
4 Gnutella: case study file-sharing open P2P network why Gnutella? simple P2P network intense traffic, with users all over the world previous work: did not focus on standard statistical distributions not in the context of general characterization methodology e-commerce, system performance evaluation, and experimental development lab Index 4
5 Gnutella: case study e-commerce, system performance evaluation, and experimental development lab Index 5
6 Workload characterization methodology derives from the classic client-server characterization divided into: Qualitative characterization conceptual definition of atributes Quantitative characterization client-side criteria server-side criteria e-commerce, system performance evaluation, and experimental development lab Index 6
7 Qualitative characterization - (1/2) Conceptual definition of the attributes: P2P architecture: type of resources shared communication protocol (connection + service interface) P2P application: set of messages that implement the protocol e-commerce, system performance evaluation, and experimental development lab Index 7
8 Qualitative characterization - (2/2) P2P network: application implemented by the servents set of servents the resources shared by the servent the servent s neighborhood e-commerce, system performance evaluation, and experimental development lab Index 8
9 Gnutella qualitative characterization Gnutella architecture Shared resource: storage device (hard disk) Communication protocol: connection interface: {ping, pong} service interface: {query, queryhit, download, push} Gnutella application Gnutella network (gnet) e-commerce, system performance evaluation, and experimental development lab Index 9
10 Quantitative characterization Workload characterization of a live P2P network collection of traffic and peer behavior data, analysis of the data Client-side criteria demand for resources interaction pattern servents connectivity Server-side criteria resource availability service capacity e-commerce, system performance evaluation, and experimental development lab Index 10
11 Gnutella quantitative characterization Data collector developed over Gnut collected data addressed to and through peer periodically sent random querys Experiments 2 Linux workstations connected to Brazilian research network connection to reference servents on Gnutella results presented from 24 hours (10/02/2001) e-commerce, system performance evaluation, and experimental development lab Index 11
12 Demand for resources characterization Identifies: the subjects of interest popularity of subjects among users temporal locality among requests Gnutella: Servents interests 2,992,390 querys received / 94,642 distinct words (including stop words) e-commerce, system performance evaluation, and experimental development lab Index 12
13 Servents interests e-commerce, system performance evaluation, and experimental development lab Index 13
14 Interaction pattern characterization quality-of-service metric used to quantify the overall performance of a P2P network Gnutella: Latency sent ttl 1 pings 1,823,972 registered pongs e-commerce, system performance evaluation, and experimental development lab Index 14
15 Latency e-commerce, system performance evaluation, and experimental development lab Index 15
16 Servents connectivity characterization Quantified through: average number of neighbors network traffic associated with communication amount of data exchanged Gnutella: Unique servents number of servents varied approximately 15% across collection periods 75% of peers answered e-commerce, system performance evaluation, and experimental development lab Index 16
17 Resource availability characterization how dynamics of P2P affects access to information assess effectiveness of network in providing information good for comparing data distribution protocols and mechanisms Gnutella: Shared kbytes 120,535 addressed servents / 90,282 replied information from pong messages e-commerce, system performance evaluation, and experimental development lab Index 17
18 Shared kbytes e-commerce, system performance evaluation, and experimental development lab Index 18
19 Service capacity characterization quantifies amount of information provided by servents helps to understand if idle capacity is used efficiently provides information to improve scalability of servents Gnutella: Servents availability 98% on for at most 45 min. 84% no longer than 10 min. e-commerce, system performance evaluation, and experimental development lab Index 19
20 Servents availability e-commerce, system performance evaluation, and experimental development lab Index 20
21 Data convergence analysis verify how representative the data collected and studied are mechanism: Perform the same experiments in shorter periods 6, 12, 18 and 24 hours, for example verify the distributions from each period e-commerce, system performance evaluation, and experimental development lab Index 21
22 Data convergence analysis Shared files e-commerce, system performance evaluation, and experimental development lab Index 22
23 Conclusions Definition of a workload characterization methodology Qualitative characterization (conceptual definitions) Quantitative characterization (client + server side criteria) Successful application of methodology on Gnutella Interesting results about Gnutella s traffic and peer behavior Statistical distribution analysis Latency distribution follows the Log-Normal distribution Search traffic 50 times larger than control traffic e-commerce, system performance evaluation, and experimental development lab Index 23
24 Questions? contact: e-commerce, system performance evaluation, and experimental development lab Index 24
25 Index P2P definition Motivation Gnutella Methodology introduction Qualitative characterization gnet qualitative characterization Quantitative characterization Demand for resources Interaction pattern Servents connectivity Resource availability Service capacity Data convergence analysis Conclusions gnet quantitative characterization e-commerce, system performance evaluation, and experimental development lab Start 25
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