Prof., D.Sc. (EE) Jarkko Vuori

1. InBCT 3.2Peer-to-Peer communication/computationCheese Factory -projecthttp://tisu.it.jyu.fi/cheesefactory Prof., D.Sc. (EE) Jarkko Vuori Faculty of Information TechnologyDept. of Mathematical Information TechnologyEmbedded Systems Jarkko.Vuori@jyu.fihttp://tisu.it.jyu.fi/embedded/http://tisu.it.jyu.fi/~mimic/

2. Agenda • What is P2P (shortly)? • InBCT 3.2 research project • 2003Q3 status • 2004 (in future)

3. P2P Introduction • Recently, the peer-to-peer (P2P) paradigm for building distributed applications has gained attention from both industry and the media • Peer-to-peer: classical definition • A P2P system is composed of a distributed collection of peer nodes • Each node is both a server and a client: • may provide services to other peers • may consume services from other peers • Completely different from the client-server model, where: • Few specialized servers provide services to a large number of clients

4. Why P2P? • Despite its poor reputation, P2P is extremely interesting from a technical point of view: • Its completely decentralized model enables the development of applications with • high-availability • fault-tolerance • scalability characteristics previously unseen in Internet • It exploits what has been defined the “dark matter” of Internet • Unused CPU and storage capacity (in idling PCs) • Moreover, P2P is not limited to file-sharing, but it can be applied to distributed computing and collaboration tools • P2P can also be viewed as a robust information diffusion media

5. P2P Services • Areas of applicability of P2P • sharing of information • information diffusion over net • distributed web servers, distributed media repository • sharing of storage capacity • distributed file system, distributed search engine • sharing of CPU time • parallel computing • sharing of human presence • the “P” in P2P is “Person” • sharing of connectivity • resilient overlay networks

6. Peer-to-Peer: Key Questions • Does it work? • can we find the data? (main InBCT 3.2 topic) • Because data communication is already discussed under the Ad Hoc -topic • query success rates • length of query paths • Does it scale? • logarithmic / linear / polynomial • Is it robust? • participants are unreliable (future InBCT research topic) • different failure modes possible • Is it efficient? • using communication resources efficiently • Information diffusion • the speed of information spreading (future InBCT research topic)

7. P2P Mobileencounter networks • Information distributes over mobile device encounters (Mobile P2P is a future distribution model) • no centralized server, zero configurability, free communication bandwidth, no infrastructure • Applications • information distribution • e.g. cheapest bulk product search (gasoline) • gasoline payment with mobile device • mobile devices communicates with each other (e.g. Bluetooth) • everybody tells what he/she has paid for the gas and gets in exchange prices of other gas stations • based on this information, mobile device can recommend the cheapest place to fill the tank • boosts the market based economy by giving equal info over the market situation to all participants

8. Why to make research in this field • Scientific (and education) aspect (universities) • resource finding problems • modelling information diffusion • Social aspect (universities and companies) • changes the structure of the society (and social code) • Mobile terminal builder • this new information diffusion method enables new applications • Games • Software maker • How to implement those P2P-systems • Operator • P2P distributed media will be opened by certificate • certificate is moved over operators network • Content producer • new distribution channels needs new content

9. InBCT Structure of the project Yomi Department of MIT ? Power-law basic research Mikko Vapa Joni Töyrylä Adaptive search algorithms (neural computing) Sergiy Nazarko Distributed data fusion Oleksiy Volovikov Gasoline Price Comparison System Niko Kotilainen Joni Töyrylä P2P network simulator Niko Kotilainen Peer-to-Peer Studio Annemari Auvinen Management of connections and topology MoPeDi Mobile Chedar / BlueCheese Matthew Kam Information diffusion simulator Niko Kotilainen Chedar P2P platform Tommi Myöhänen P2PCore Search algorithms Jani Kurhinen Vesa Korhonen Diffusion of information in P2P networks Matthieu Weber Formation of P2P networks Vagan Terziyan Hermanni Hyytiälä Eetu Ojanen Semantic web in P2P networks Sauli Takkinen New applications of mobile P2P networks Theoretical Practical

10. Status of the project • P2P platform Chedar is working • Distributed data fusion • running ok on the Chedar platform • simple test set-up now, full demo version ready at Q4 • Search algorithm (resource discovery in P2P networks) • Neural optimized algorithm working ok • Report will be ready Q2, publication Q2, 2nd publication Q4 • Formation of P2P networks • First simulator version running now • Publication ready Q2 • Master’s Thesis • Annemari Auvinen (Chedar and its algorithms) will be ready Q4 • Joni Töyrylä (analysis of NeuroSearch) will be ready 2004 • Tommi Myöhänen (Search algorithm comparison) will be ready 2004 • Oleksiy Volovikov (Gasoline price comparison system) will be ready 2004 • Licentiate’s thesis • Jani Kurhinen (information diffusion modelling in mobile P2P environment) will be ready 2004

11. Next steps (2004 Q1) • Distributed datafusion application development • Full distributed datafusion (fault tolerant) demo version • Neuroprogrammed search algorithm • Why this algorithm is working so well? • How to apply to mobile environment (where topology is changing rapidly)? • Development of the P2P-network simulator • NS2 does not support training of neural networks • Modelling/Simulating information diffusion in P2P environment • First simple simulator running • Development of the first version of mobile-P2P platform using Bluetooth