![]() Veronese G, Correia M, Bessani A, Lung LC, Verissimo P (2013) Efficient Byzantine fault-tolerance. Toosi AN, Calheiros RN, Buyya R (2014) Interconnected cloud computing environments: challenges, taxonomy, and survey. In: Sips H, Epema D, Lin H-X (eds) Proceedings of the 15th international Euro-Par conference on parallel processing, Euro-Par ’09, Springer-Verlag, Berlin, pp. Tölgyesi N, Jelasity M (2009) Adaptive peer sampling with newscast. Stavrou A, Rubenstein D, Sahu S (2004) A lightweight, robust p2p system to handle flash crowds. In: Distributed computing systems (ICDCS), 2012 IEEE 32nd international conference on, pp. Singh A, Urdaneta G, van Steen M, Vitenberg R (2012) Robust overlays for privacy-preserving data dissemination over a social graph. Sharma R, Nitin N (2014) Duplication with task assignment in mesh distributed system. In: Distributed computing systems (ICDCS), 2011 31st international conference on, pp. Schiavoni V, Riviere E, Felber P (2011) Whisper: middleware for confidential communication in large-scale networks. Pease M, Shostak R, Lamport L (1980) Reaching agreement in the presence of faults. In: Proceedings of the confederated international conferences, CoopIS, DOA, IS, and ODBASE 2009 on the move to meaningful internet systems: part I, OTM ’09, Springer-Verlag, Berlin, pp. Matos M, Sousa A, Pereira J, Oliveira R, Deliot E, Murray P (2009) Clon: Overlay networks and gossip protocols for cloud environments. The message complexity is reduced from O( n \(^\) overlay networks in pervasive computing environments. The results show that our dual membership management effectively deals with Byzantine nodes, requiring only n \(\ge \) 2 f + 1, where n is the number of nodes and f is the number of Byzantine nodes in the system. The proposed membership management scheme maintains not only neighbor nodes in a social graph, but also Byzantine nodes in a local data structure. Therefore, we propose a new membership management mechanism using gossip with social membership information. We argue that due to the presence of malicious Byzantine nodes, existing membership management mechanisms are not suitable for preserving uniformity of random sampling. Our method is based on unstructured message communication model, namely a gossip protocol that is able to handle the dynamic behavior of nodes properly in the system. And by sharing your content you also help other Tribler users to enjoy their favorite content.In this paper, we present an effective and efficient Byzantine-resilient dual membership management technique in cloud environments, in which nodes are prone to churn and the network topology is not fully connected. This means you can make friends with other users and you can show to everyone what you like and dislike. Because of the integrated video and audio player you can almost immediately start watching your favorite video(s) or listen to your favorite song(s). You yourself can also show to your friends what you like and what they definitely should see. By making friends and getting in touch with users with similar taste you can find content that you might find interesting. ![]() All these functionalities will definitely help you in finding something you like. You can also see what is most popular and what is made available recently. You can browse through different categories as video, audio, pictures, etc. Through our improved search functionality you search in content of other Tribler users, and in content of big video web portals such as Youtube and Liveleak. Tribler has three goals in helping you, the user. With content we mean video, audio, pictures, and much more. Tribler is a BitTorrent client that doesn't require a tracker for finding content.
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