期刊名称：International Journal of Advanced Research in Computer Engineering & Technology (IJARCET)
印刷版ISSN：2278-1323
出版年度：2012
卷号：1
期号：5
页码：328-334
出版社：Shri Pannalal Research Institute of Technolgy
摘要：Gridiron applications habitually necessitate sharing out large amounts of records proficiently from one huddle to compound others (multicast). Obtainable sender-initiated methods dispose nodes in optimized tree structures, based on peripheral complex monitoring records. This confidence on monitoring information relentlessly impacts both ease of consumption and adaptivity to vigorously shifting network circumstances. In this paper, we present Robber, a united, receiver-initiated, high-throughput multicast loom enthused by the BitTorrent etiquette. Unlike BitTorrent, Robber is explicitly deliberate to maximize the throughput between multiple cluster computers. Nodes in the same cluster work mutually as a common that tries to thieve information from peer clusters. Instead of using potentially outmoded monitoring information, Robber repeatedly adapts to the presently feasible bandwidth ratios. Within a communal, nodes repeatedly tune the quantity of information they steal tenuously to their virtual recital. Our untried assessment compares Robber to BitTorrent, to disinterested Multicasting, and to its forerunner MOB. unprejudiced Multicasting optimizes multicast trees based on exterior monitoring information, while MOB uses communal, receiver-initiated multicast with static load harmonizing. We show that both Robber and MOB outperform BitTorrent. They are cutthroat with impartial Multicasting as long as the network bandwidth vestiges stable, and outperform it by wide limitations when bandwidth changes vigorously. In large environments and assorted clusters, Robber outperforms MOB.
关键词：High-thro ug hput multicast; load balancing; ; cluster computing
