New PDF release: Middleware 2013: ACM/IFIP/USENIX 14th International

By Gautier Berthou, Vivien Quéma (auth.), David Eyers, Karsten Schwan (eds.)

This ebook constitutes the refereed lawsuits of the ACM/IFIP/USENIX 14th overseas Middleware convention, held in Beijing, China, in December 2013. The 24 revised complete papers provided have been conscientiously reviewed and chosen from 189 submissions. The papers disguise quite a lot of themes together with layout, implementation, deployment and overview of middleware for next-generation systems corresponding to cloud computing, social networks and large-scale garage and disbursed structures. The middleware recommendations brought offer beneficial properties akin to availability, potency, scalability, fault-tolerance, reliable operation and aid protection and privateness needs.

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Syst. 12(2), 147–156 (2001) 16. : A lightweight solution to uniform atomic broadcast for asynchronous systems. In: Proceedings of the 27th International Symposium on FaultTolerant Computing (FTCS 1997). IEEE Computer Society, Washington, DC (1997) 17. : An evaluation of the amoeba group communication system. In: Proceedings of the 16th International Conference on Distributed Computing Systems (ICDCS 1996). IEEE Computer Society, Washington, DC (1996) 18. : Multicast transport protocol. RFC 1301, IETF (1992) 19.

J. 3(1), 39–52 (1996) 9. : Newtop: a fault-tolerant group communication protocol. In: Proceedings of the 15th International Conference on Distributed Computing Systems (ICDCS 1995). IEEE Computer Society, Washington, DC (1995) The FastCast Protocol 19 10. : Ordered broadcasts for large applications. In: Proceedings of the 10th IEEE International Symposium on Reliable Distributed Systems (SRDS 1991), pp. 188– 197. IEEE Computer Society, Pisa (1991) 11. : Asynchronous fault-tolerant total ordering algorithms.

It starts by selecting in a random sequence descriptors from D whose group ID is the same as p’s. If these are fewer than k, it continues by selecting randomly from the rest of the descriptors. Similarly to the torus scenario, Figure 8 provides a graphical illustration of an 1024node network self-organizing into the target overlay. Again, nodes’ deterministic and randomized views have been set to a size of six, each. Nodes are assigned group IDs such that a total of 16 groups exist, each having 64 nodes.

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