Principles of Distributed Systems: 12th International by Rachid Guerraoui (auth.), Theodore P. Baker, Alain Bui,

By Rachid Guerraoui (auth.), Theodore P. Baker, Alain Bui, Sébastien Tixeuil (eds.)

This publication constitutes the refereed lawsuits of the twelfth overseas convention on ideas of dispensed platforms, OPODIS 2008, held in Luxor, Egypt, in December 2008.

The 30 complete papers and eleven brief papers provided have been rigorously reviewed and chosen from 102 submissions. The convention concerned about the next subject matters: verbal exchange and synchronization protocols; disbursed algorithms and multiprocessor algorithms; dispensed cooperative computing; embedded platforms; fault-tolerance, reliability and availability; grid and cluster computing; place- and context-aware structures; cellular brokers and self sustaining robots; cellular computing and networks; peer-to-peer platforms and overlay networks; complexity and reduce bounds; functionality research of dispensed platforms; real-time platforms; defense matters in allotted computing and structures; sensor networks; specification and verification of dispensed structures; and checking out and experimentation with disbursed systems.

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Additional resources for Principles of Distributed Systems: 12th International Conference, OPODIS 2008, Luxor, Egypt, December 15-18, 2008. Proceedings

Example text

Knowledge Connectivity Graphs Induced by k-OSR Participant Detectors subsequent calls. This ensures that the partial view about the initial composition of the system is consistent for all nodes in the system, what defines a common knowledge connectivity graph Gdi . PD. 3 The Consensus Problem In a distributed system, the consensus problem consists of ensuring that all correct processes eventually decide the same value, previously proposed by some processes in the system. Thus, each process i proposes a value vi and all correct processes decide on some unique value v among the proposed values.

P. Alchieri et al. its local participant detector, a process is able to get an initial knowledge about the system that is not enough to solve BFT-CUP. Then, a process expands this knowledge by executing the DISCOVERY protocol, presented in Algorithm 2. The main idea is that each participant i broadcasts a message requesting information about neighbors of each reachable participant, making a sort of breadth-first search in the knowledge graph. At the end of the algorithm, i obtains the maximal set of reachable participants, which represents the participants known by i (a partial view of the system).

Despite the fact that a process does not know all participants of the system, it does know the expected maximum number of process that may fail, denoted by f . Moreover, we assume that all processes have a unique id, and that it is infeasible for a faulty process to obtain additional ids to be able to launch a sybil attack [10] against the system. Processes communicate by sending and receiving messages through authenticated and reliable point to point channels established between known processes1 .

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