2,240 research outputs found
A Dual Digraph Approach for Leaderless Atomic Broadcast (Extended Version)
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
Judging Me and You : Task Design Modulates Self-Prioritization
Peer reviewedPublisher PD
Self-Prioritization Reconsidered : Scrutinizing Three Claims
Open Access via the Sage R&P AgreementPeer reviewedPublisher PD
Inactive rhomboid proteins: New mechanisms with implications in health and disease
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
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
Self-relevance and the activation of attentional networks
Peer reviewedPostprin
The power of the unexpected : Prediction errors enhance stereotype-based learning
Johanna Falbén was supported by a European Research Council consolidator grant (817492-SAMPLING).Peer reviewedPublisher PD
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