A Survey on Gateway Approach for Efficient Big-Data Broadcasting
AbstractThe Broadcasting Big data problem for a single source node to broadcast at a fixed place at rate. We formalized that multiple source node broadcast access at a fixed place at rate. Because of this service to finish with the big data problems to appeal in many of the service recommender systems in shopping market and to build a climbable, efficient and simple system for service level comparison between goods in Market.
 C.-J. Wu, C.-Y.Li, K.-H.Yang, J.-M.Ho, and M.-S. Chen, “Timecriticaldata dissemination in cooperative peer-to-peer systems,”Proc. IEEE Global Telecommun., 2009, pp. 1–6.
 A. R. Bharambe, C. Herley, and V. N. Padmanabhan, “Analyzingand improving a bittorrent networks performance mechanisms,”in Proc. IEEE Int. Conf. Comput. Commun., 2006, pp. 1–12.
 P. Liu, “Broadcast scheduling optimization for heterogeneouscluster systems,” J. Algorithms, vol. 42, no. 1, pp. 129–136, Jan.2002.
 C. Chang, T. Ho, M. Effros, M. Medard, and B. Leong, “Issues inpeer-to-peer networking: A coding optimization approach,” inProc. IEEE Int. Symp. Netw. Coding, 2010, pp. 1–6
 Pierre Fraigniaud, Bernard Mans, Arnold L.Rosenberg “Efficient trigger Broadcasting in heterogeneous clusters” 2004. PP. 1-12
 RaymondSweha, VatcheIshakian, AzerBestavros “AngelCast : Cloud Based Peer-Assited live Streaming using Optimized Multi- Tree Construction” Bostan University 2012.
This work is licensed under a Creative Commons Attribution 4.0 International License.