Researcher: Alagöz, Ali
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Alagöz, Ali
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Publication Metadata only Principles and performance analysis of second: a system for epidemic peer-to-peer content distribution(Academic Press Ltd- Elsevier Science Ltd, 2009) N/A; Department of Computer Engineering; Department of Mathematics; Department of Computer Engineering; Özkasap, Öznur; Çağlar, Mine; Alagöz, Ali; Faculty Member; Faculty Member; Other; Department of Mathematics; Department of Computer Engineering; College of Engineering; College of Sciences; College of Engineering; 113507; 105131; N/AWe propose and design a peer-to-peer system, SeCond, addressing the distribution of large sized content to a large number of end systems in an efficient manner. In contrast to prior work, it employs a self-organizing epidemic dissemination scheme for state propagation of available blocks and initiation of block transmissions. in order to exploit heterogeneity of peers, enhance the utilization of system resources and for the ease of deployment, scalability, and adaptivity to dynamic peer arrivals/departures, we propose mechanisms for adjusting protocol parameters dynamically according to the bandwidth usages. We describe design and analysis details of our protocol SeCond. Comprehensive performance evaluations and comparison with the BitTorrent system model have been accomplished for a wide range of scenarios. Performance results include scalability analysis for different arrival/departure patterns, flash-crowd scenario, overhead analysis, and fairness ratio. The major metrics we study include the average file download time, load on the primary seed, uplink/downlink utilization. and communication overhead. We show that SeCond is a scalable and adaptive protocol which takes the heterogeneity of the peers into account. The protocol is as fair as BitTorrent although it has no explicit strategy addressing free-riding. We also illustrate the applicability of an analytical fluid model to the behavior of SeCond.Publication Metadata only Second: a system for epidemic peer-to-peer content distribution(IEEE, 2006) N/A; Department of Computer Engineering; Department of Mathematics; Alagöz, Ali; Özkasap, Öznur; Çağlar, Mine; Master Student; Faculty Member; Faculty Member; Department of Computer Engineering; Department of Mathematics; Graduate School of Sciences and Engineering; College of Engineering; College of Sciences; N/A; 113507; 105131We propose an efficient cooperative content distribution protocol in which the cooperation among participants is based on a peer-to-peer (P2P) paradigm. Our main contribution to P2P content distribution is the use of an epidemic communication approach. Since epidemic algorithms are easy to use, robust and adaptive to dynamic conditions, they have found several application areas in distributed systems such as failure detection, data aggregation and database replication. However, they have not been used in cooperative content distribution before. in addition to the use of epidemic algorithms for state exchange among peers, we propose some methods in order to increase utilization of system resources during distribution of the files. We demonstrate effectiveness and scalability of the protocol through our simulation model.