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

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Strict equivalence of conditions, In this paper, we prove tight bounds for this problem in two well-studied wireless network models: the . model, in which links are reliable and collisions consistent, and the more recent . model, which introduces unreliable edges. Our results prove that the . strategy, commonly used for local broad

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https://doi.org/10.1007/978-94-6265-507-2pproaches give conditions for perfect reliable broadcast (all correct nodes deliver the authentic message and nothing else), but they require a highly connected network. An approach giving only probabilistic guarantees (correct nodes deliver the authentic message with high probability) was recently

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https://doi.org/10.1007/978-94-6265-507-2n in recent literature, we consider a standard asynchronous shared memory model with . processes, which allows atomic read, write and compare-and-swap (short: CAS) operations..In such a model, the asymptotically tight upper and lower bounds on the number of RMRs per passage through the Critical Sect

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https://doi.org/10.1007/978-3-642-33651-5distributed optimization; fault tolerance; oblivious robots; synchronization; wireless networks; algorith

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CBTree: A Practical Concurrent Self-Adjusting Search Treeions on . items, . of which access some item ., an operation on . traverses a path of length . while performing few if any rotations. In contrast to the traditional self-adjusting splay tree in which each accessed item is moved to the root through a sequence of tree rotations, the CBTree performs ro

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Efficient Fetch-and-Incrementused in many asynchronous shared memory algorithms, such as renaming, mutual exclusion, and barrier synchronization. We present an efficient implementation of a wait-free . object from registers and load-linked/store-conditional (.) objects. In a system with . processes, every . operation finishes i

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Collecting Information by Power-Aware Mobile Agentsnetwork edges. Agents use their batteries proportionally to the distance traveled. At the beginning, each agent has its initial information. Agents exchange the actually possessed information when they meet. The agents collaborate in order to perform an efficient ., where the initial information of