2,240 research outputs found

    A Dual Digraph Approach for Leaderless Atomic Broadcast (Extended Version)

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    Many distributed systems work on a common shared state; in such systems, distributed agreement is necessary for consistency. With an increasing number of servers, these systems become more susceptible to single-server failures, increasing the relevance of fault-tolerance. Atomic broadcast enables fault-tolerant distributed agreement, yet it is costly to solve. Most practical algorithms entail linear work per broadcast message. AllConcur -- a leaderless approach -- reduces the work, by connecting the servers via a sparse resilient overlay network; yet, this resiliency entails redundancy, limiting the reduction of work. In this paper, we propose AllConcur+, an atomic broadcast algorithm that lifts this limitation: During intervals with no failures, it achieves minimal work by using a redundancy-free overlay network. When failures do occur, it automatically recovers by switching to a resilient overlay network. In our performance evaluation of non-failure scenarios, AllConcur+ achieves comparable throughput to AllGather -- a non-fault-tolerant distributed agreement algorithm -- and outperforms AllConcur, LCR and Libpaxos both in terms of throughput and latency. Furthermore, our evaluation of failure scenarios shows that AllConcur+'s expected performance is robust with regard to occasional failures. Thus, for realistic use cases, leveraging redundancy-free distributed agreement during intervals with no failures improves performance significantly.Comment: Overview: 24 pages, 6 sections, 3 appendices, 8 figures, 3 tables. Modifications from previous version: extended the evaluation of AllConcur+ with a simulation of a multiple datacenters deploymen

    Self-Prioritization Reconsidered : Scrutinizing Three Claims

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    Open Access via the Sage R&P AgreementPeer reviewedPublisher PD

    Inactive rhomboid proteins: New mechanisms with implications in health and disease

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    This deposit is composed by the main article, and hasn't not associated any supplementary materials of the publication. This publication hasn't any creative commons license associated.Rhomboids, proteases containing an unusual membrane-integral serine protease active site, were first identified in Drosophila, where they fulfill an essential role in epidermal growth factor receptor signaling, by cleaving membrane-tethered growth factor precursors. It has recently become apparent that eukaryotic genomes harbor conserved catalytically inactive rhomboid protease homologs, including derlins and iRhoms. Here we highlight how loss of proteolytic activity was followed in evolution by impressive functional diversification, enabling these pseudoproteases to fulfill crucial roles within the secretory pathway, including protein degradation, trafficking regulation, and inflammatory signaling. We distil the current understanding of the roles of rhomboid pseudoproteases in development and disease. Finally, we address mechanistically how versatile features of proteolytically active rhomboids have been elaborated to serve the sophisticated functions of their pseudoprotease cousins. By comparing functional and structural clues, we highlight common principles shared by the rhomboid superfamily, and make mechanistic predictions.Deutsche Forschungsgemeinschaft grant: (SFB 1036, TP 12); Marie Curie Career Integration Grant: (PCIG13-GA-2013-618769); Worldwide Cancer Research grant: (14-1289); Fundação Calouste Gulbenkian.info:eu-repo/semantics/publishedVersio

    Learning about me and you : Only deterministic stimulus associations elicit self-prioritization

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    Open Access via the Elsevier agreement Funding: This research did not receive any specific grant from funding agencies in the public, commercial, or not-for-profit sectors.Peer reviewedPublisher PD

    The power of the unexpected : Prediction errors enhance stereotype-based learning

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    Johanna Falbén was supported by a European Research Council consolidator grant (817492-SAMPLING).Peer reviewedPublisher PD
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