Trim Down Redundant Transmission in Data Synchronization

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Data synchronization distributes data to users of various configurations, and poses many challenges in today’s collaborative networks. In this paper, we propose a data synchronization scheme to reduce the finish time of distributing data with the understanding that users are free to join late or leave, which is common if the desired data is received. Our scheme involves a heuristic algorithm to push-and-pull segments of data. The numerical results yield significant lesser finish time than the conventional P2P approaches. Besides, there are no redundant transmissions and no need of searching data pieces in our approach, which help to reduce the network traffic and receiving time of data.

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2789-2793

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January 2013

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© 2013 Trans Tech Publications Ltd. All Rights Reserved

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[1] S. Al-Kiswany, M. Ripeanu, A. Iamnitchi, and S. Vazhkudai: Are P2P Data-Dissemination Techniques Viable in Todays Data-Intensive Scientific Collaborations, Proc. of 13th European International Conference on Parallel Processing (Euro-Par) , (2007).

DOI: 10.1007/978-3-540-74466-5_44

Google Scholar

[2] J. Xu, A. Kumar, and X. Yu: On the Fundamental Tradeoffs Between Routing Table Size and Network Diameter in Peer-to-Peer Networks, IEEE Journal on Selected Areas in Communications, (2004), vol. 22, no. 1, p.151–163.

DOI: 10.1109/jsac.2003.818805

Google Scholar

[3] A. Kumar, S. Merugu, J. Xu, and X. Yu: Ulysses: A Robust, Low-Diameter, Low-Latency Peer-to-Peer Network, European Transaction on Telecommunications, (2004), vol. 15, no. 6, p.571–587.

DOI: 10.1002/ett.1013

Google Scholar

[4] D. England, B. Veeravalli, and J. Weissman: A Robust Spanning Tree Topology for Data Collection and Dissemination in Distributed Environments, IEEE Transactions On Parallel and Distributed Systems, (2007), vol. 18, no. 5, p.608–620.

DOI: 10.1109/tpds.2007.1032

Google Scholar

[5] V. Pla, J. Martinez-Bauset, and V. Casares-Giner: Efficient Computation of Optimal Capacity in Multiservice Mobile Wireless Networks, Performance Modelling and Analysis of Heterogeneous Networks, (2009), vol. 199, no. 214, p.199.

DOI: 10.1201/9781003339052-15

Google Scholar

[6] Bittorrent protocol specification v1. 0: information on http: /wiki. theory. org/BitTorrentSpecification.

Google Scholar

[7] G. M. Ezovski, A. Tang, and L. L. H. Andrew: Minimizing Average Finish Time in P2P Networks, Proc. of 28th IEEE International Conference on Computer Communications, (2009), p.594–602.

DOI: 10.1109/infcom.2009.5061966

Google Scholar

[8] J. Mundinger, R. Weber and G. Weiss: Analysis of peer-to-peer filedissemination amongst users of different upload capacities. ACM SIGMETRICS Performance Evaluation Review, vol. 34, no. 2, pp.5-6, September (2006).

DOI: 10.1145/1168134.1168138

Google Scholar

[9] Microsoft research simulator for the bittorrent protocol: information on http: /research. microsoft. com/en-us/downloads/20d68689-9a8d-44c0-80cd-66dfa4b0504b.

Google Scholar

[10] A. Farzad and H. R. Rabiee, Modeling Topological Characteristics of BitTorrent-Like Peer-to-Peer Networks, IEEE Communication Letters, (2011), vol. 15, no. 8, p.896–898.

DOI: 10.1109/lcomm.2011.062711.110872

Google Scholar