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Titlebook: Distributed Computing; 26th International S Marcos K. Aguilera Conference proceedings 2012 Springer-Verlag Berlin Heidelberg 2012 distribut

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楼主: sesamoiditis
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Memory Lower Bounds for Randomized Collaborative Search and Implications for Biologyodels natural cooperative foraging behavior such as that performed by ants around their nest. In this problem, . (probabilistic) agents, initially placed at some central location, collectively search for a treasure on the two-dimensional grid. The treasure is placed at a target location by an advers
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A Generalized Algorithm for Publish/Subscribe Overlay Design and Its Fast Implementationtopic-based publish/subscribe systems. Existing overlay design algorithms aim to minimize the node fan-out while building topic-connected overlays, in which all nodes interested in the same topic are organized in a directly connected dissemination sub-overlay. However, most state-of-the-art algorith
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Bounded-Contention Coding for Wireless Networks in the High SNR Regiment research has been invested in decreasing the number of collisions in order to obtain faster algorithms for communication in such networks..This paper proposes a novel approach for wireless communication, which embraces collisions rather than avoiding them, over an additive channel. It introduces
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Fast Distributed Computation in Dynamic Networks via Random Walks walks are a fundamental primitive in a wide variety of network applications; the local and lightweight nature of random walks is especially useful for providing uniform and efficient solutions to distributed control of dynamic networks. Given their applicability in dynamic networks, we focus on dev
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Lower Bounds on Information Dissemination in Dynamic Networksdistributed among . nodes. The tokens need to be broadcast to all nodes through a synchronous network in which the topology can change arbitrarily from round to round provided that some connectivity requirements are satisfied..If the network is guaranteed to be connected in every round and each node
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Distributed 2-Approximation Algorithm for the Semi-matching Problemem in a bipartite graph . = (.,.,.), where . corresponds to the clients, . to the servers, and . is the set of available connections between them. The goal is to find a set of edges . ⊆ . such that every vertex in . is incident to exactly one edge in .. The . of a server . ∈ . is defined as . where
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