By Ofer Feinerman, Amos Korman, Shay Kutten, Yoav Rodeh (auth.), Mainak Chatterjee, Jian-nong Cao, Kishore Kothapalli, Sergio Rajsbaum (eds.)
This booklet constitutes the court cases of the fifteenth foreign convention on dispensed Computing and Networking, ICDCN 2014, held in Coimbatore, India, in January 2014. The 32 complete papers and eight brief papers awarded during this quantity have been conscientiously reviewed and chosen from a hundred and ten submissions. they're prepared in topical sections named: mutual exclusion, contract and consensus; parallel and multi-core computing; dispensed algorithms; transactional reminiscence; P2P and disbursed networks; source sharing and scheduling; mobile and cognitive radio networks and resolution networks.
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Additional info for Distributed Computing and Networking: 15th International Conference, ICDCN 2014, Coimbatore, India, January 4-7, 2014. Proceedings
Wang and Z. , an element of type order is enqueued back to queues if and only if this processor leaves control-exit section. These can be concluded in the observation below. Obseravation 1. A processor has an element of type order in its local memory if and only if it is running at control-exit section. Based on this observation, we will propose the following lemma about uniqueness of the element of type order, which will be used on whole analysis of this paper. Lemma 1 (Conservation of Order ) There is exact one element of type order in queues and all processors’ local memories.
Weak ergodicity in non-homogeneous markov chains. Proceedings of the Cambridge Philosophical Society 54, 233–246 (1958) 6. : Coordination of groups of mobile autonomous agents using nearest neighbor rules. IEEE Transactions on Automatic Control 48, 988–1001 (2003) 7. : Consensus in networked multi-agent systems with adversaries. In: 14th International Conference on Hybrid Systems: Computation and Control, HSCC (2011) 8. : Low complexity resilient consensus in networked multi-agent systems with adversaries.
The correctness conditions for Byzantine vector consensus (elaborated below) cannot be satisﬁed by independently performing consensus on each element of the input vectors; therefore, new algorithms are necessary [9,12]. In this paper, we consider Byzantine vector consensus in incomplete graphs using a restricted class of iterative algorithms that maintain only a small amount of memory across iterations. We prove a necessary condition, and a suﬃcient condition, for the graphs to be able to solve the vector consensus problem using M.