Evaluating stranger policies in P2P file-sharing systems with reciprocity mechanisms |
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| Authors: | Yunzhao Li Don Gruenbacher Caterina Scoglio |
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| Affiliation: | 1. Department of Molecular Genetics, Biochemistry and Microbiology, University of Cincinnati Medical Sciences Building, Cincinnati, OH 45267, USA;2. Department of Cancer and Cell Biology, University of Cincinnati Medical Sciences Building, Cincinnati, OH 45267, USA;3. Division of Developmental Biology, Cincinnati Children''s Research Foundation and Department of Pediatrics, College of Medicine, University of Cincinnati, 3333 Burnet Avenue, Cincinnati, OH 45229, USA;1. Department of Physics, Shahid Beheshti University, G. C., Evin, Tehran 19839, Iran;2. AGH University of Science and Technology, Faculty of Physics and Applied Computer Science, al. Mickiewicza 3, 30-059 Kraków, Poland;3. AGH University of Science and Technology, Faculty of Humanities, al. Mickiewicza 30, 30-059 Kraków, Poland;1. Evolution and Ecology Program, International Institute for Applied Systems Analysis (IIASA), Schlossplatz 1, A-2361 Laxenburg, Austria;2. Department of Engineering Mathematics, Merchant Venturers Building, University of Bristol, Bristol BS8 1UB, United Kingdom;1. Lehrstuhl für Physikalische Chemie, Chemistry Department & Catalysis Research Center, Technische Universität München, Lichtenbergstraße 4, 85748 Garching, Germany;2. Electronics Workshop, Chemistry Department, Technische Universität München, Lichtenbergstraße 4, 85748 Garching, Germany;1. Department of Engineering, Virginia State University, Petersburg, VA, USA;2. Mechanical Engineering Department, Texas A&M University, College Station, TX, USA;3. Engineering Technology and Industrial Distribution Department, Texas A&M University, College Station, TX, USA |
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| Abstract: | How to deal with strangers efficiently is a big challenge for designing P2P systems, as ineffective stranger policies will cause the degradation of system performance and fairness. In this work, we focus on an open P2P file-sharing environment with reciprocity incentive mechanisms, and we evaluate the impact of different stranger policies to system performance and fairness using both numerical analyses and agent-based simulations. The results reveal that there exist tradeoffs between system performance and fairness; the optimal performance and fairness of the system cannot be reached simultaneously; free-riders will survive when system performance is optimal. The accuracy of this evaluation is verified through the analysis of stranger policies in BitTorrent and eMule/eDonkey. Therefore, this evaluation can effectively help P2P designers select appropriate stranger policies according to their individual design goals. |
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