Search results for " Distributed Computing"

showing 10 items of 87 documents

Touch or touchless?:Evaluating usability of interactive displays for persons with autistic spectrum disorders

2019

Interactive public displays have been exploited and studied for engaging interaction in several previous studies. In this context, applications have been focused on supporting learning or entertainment activities, specifically designed for people with special needs. This includes, for example, those with Autism Spectrum Disorders (ASD). In this paper, we present a comparison study aimed at understanding the difference in terms of usability, effectiveness, and enjoyment perceived by users with ASD between two interaction modalities usually supported by interactive displays: touch-based and touchless gestural interaction. We present the outcomes of a within-subject setup involving 8 ASD users…

Computer scienceAutismInteractive displaysSpecial needsContext (language use)02 engineering and technologyInteractive displaystouchless interfaces mid-air gestures touch autism usability evaluation interactive displaysHuman–computer interaction0202 electrical engineering electronic engineering information engineeringmedicine0501 psychology and cognitive sciencesUsability evaluation050107 human factorsSettore ING-INF/05 - Sistemi Di Elaborazione Delle Informazioni020203 distributed computingModalitiesModality (human–computer interaction)Settore INF/01 - Informaticabusiness.industry05 social sciencesUsabilitymedicine.diseaseMid-air gesturesTouchTouchless interfacesAutismUser interfacebusiness
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A Generic Approach to Scheduling and Checkpointing Workflows

2018

This work deals with scheduling and checkpointing strategies to execute scientific workflows on failure-prone large-scale platforms. To the best of our knowledge, this work is the first to target fail-stop errors for arbitrary workflows. Most previous work addresses soft errors, which corrupt the task being executed by a processor but do not cause the entire memory of that processor to be lost, contrarily to fail-stop errors. We revisit classical mapping heuristics such as HEFT and MinMin and complement them with several checkpointing strategies. The objective is to derive an efficient trade-off between checkpointing every task (CkptAll), which is an overkill when failures are rare events, …

Computer scienceworkflowDistributed computing02 engineering and technologyTheoretical Computer ScienceScheduling (computing)résiliencecheckpointfail-stop error0202 electrical engineering electronic engineering information engineeringRare eventsOverhead (computing)[INFO]Computer Science [cs]Resilience (network)resilienceComplement (set theory)020203 distributed computing020206 networking & telecommunications020202 computer hardware & architecture[INFO.INFO-PF]Computer Science [cs]/Performance [cs.PF]Task (computing)WorkflowHardware and Architectureerreur fatale[INFO.INFO-DC]Computer Science [cs]/Distributed Parallel and Cluster Computing [cs.DC]HeuristicsSoftware
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Analyzing big datasets of genomic sequences: fast and scalable collection of k-mer statistics

2019

Abstract Background Distributed approaches based on the MapReduce programming paradigm have started to be proposed in the Bioinformatics domain, due to the large amount of data produced by the next-generation sequencing techniques. However, the use of MapReduce and related Big Data technologies and frameworks (e.g., Apache Hadoop and Spark) does not necessarily produce satisfactory results, in terms of both efficiency and effectiveness. We discuss how the development of distributed and Big Data management technologies has affected the analysis of large datasets of biological sequences. Moreover, we show how the choice of different parameter configurations and the careful engineering of the …

Data AnalysisFOS: Computer and information sciencesTime FactorsTime FactorComputer scienceStatistics as TopicBig dataApache Spark; distributed computing; performance evaluation; k-mer countinglcsh:Computer applications to medicine. Medical informaticsBiochemistryDomain (software engineering)Databases03 medical and health sciences0302 clinical medicineStructural BiologyComputer clusterStatisticsSpark (mathematics)Molecular Biologylcsh:QH301-705.5030304 developmental biology0303 health sciencesGenomeSettore INF/01 - InformaticaBase SequenceNucleic AcidApache Sparkbusiness.industryResearchApache Spark; Distributed computing; k-mer counting; Performance evaluation; Algorithms; Base Sequence; Software; Time Factors; Data Analysis; Databases Nucleic Acid; Genome; Statistics as TopicApplied Mathematicsk-mer countingDistributed computingComputer Science ApplicationsAlgorithmData AnalysiComputer Science - Distributed Parallel and Cluster Computinglcsh:Biology (General)030220 oncology & carcinogenesisScalabilityPerformance evaluationlcsh:R858-859.7Algorithm designDistributed Parallel and Cluster Computing (cs.DC)Databases Nucleic AcidbusinessAlgorithmsSoftware
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Hierarchies of probabilistic and team FIN-learning

2001

AbstractA FIN-learning machine M receives successive values of the function f it is learning and at some moment outputs a conjecture which should be a correct index of f. FIN learning has two extensions: (1) If M flips fair coins and learns a function with certain probability p, we have FIN〈p〉-learning. (2) When n machines simultaneously try to learn the same function f and at least k of these machines output correct indices of f, we have learning by a [k,n]FIN team. Sometimes a team or a probabilistic learner can simulate another one, if their probabilities p1,p2 (or team success ratios k1/n1,k2/n2) are close enough (Daley et al., in: Valiant, Waranth (Eds.), Proc. 5th Annual Workshop on C…

Discrete mathematics020203 distributed computingProbabilistic learningConjectureFinGeneral Computer ScienceIndex (typography)Probabilistic logicInductive inference0102 computer and information sciences02 engineering and technologyFunction (mathematics)01 natural sciencesTheoretical Computer ScienceMoment (mathematics)Computational learning theory010201 computation theory & mathematics0202 electrical engineering electronic engineering information engineeringTeam learningAlgorithmComputer Science(all)MathematicsTheoretical Computer Science
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Online Scheduling of Task Graphs on Heterogeneous Platforms

2020

Modern computing platforms commonly include accelerators. We target the problem of scheduling applications modeled as task graphs on hybrid platforms made of two types of resources, such as CPUs and GPUs. We consider that task graphs are uncovered dynamically, and that the scheduler has information only on the available tasks, i.e., tasks whose predecessors have all been completed. Each task can be processed by either a CPU or a GPU, and the corresponding processing times are known. Our study extends a previous $4\sqrt{m/k}$ 4 m / k -competitive online algorithm by Amaris et al. [1] , where $m$ m is the number of CPUs and $k$ k the number of GPUs ( $m\geq k$ m ≥ k ). We prove that no online…

Discrete mathematics[INFO.INFO-CC]Computer Science [cs]/Computational Complexity [cs.CC]020203 distributed computingScheduleCompetitive analysisComputer scienceHeuristicSchedulingOnline algorithmsProcessor schedulingSymmetric multiprocessor system02 engineering and technologyUpper and lower boundsGraphScheduling (computing)Computational Theory and MathematicsHardware and ArchitectureSignal Processing0202 electrical engineering electronic engineering information engineeringTask analysisTask graphsHeterogeneous computingOnline algorithm[INFO.INFO-DC]Computer Science [cs]/Distributed Parallel and Cluster Computing [cs.DC]
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Scheduling on Two Types of Resources: a Survey

2020

International audience; We study the problem of executing an application represented by a precedence task graph on a parallel machine composed of standard computing cores and accelerators. Contrary to most existing approaches, we distinguish the allocation and the scheduling phases and we mainly focus on the allocation part of the problem: choose the most appropriate type of computing unit for each task. We address both off-line and on-line settings and design generic scheduling approaches. In the first case, we establish strong lower bounds on the worst-case performance of a known approach based on Linear Programming for solving the allocation problem. Then, we refine the scheduling phase …

FOS: Computer and information sciences020203 distributed computingScheduleGeneral Computer ScienceComputer scienceDistributed computingmedia_common.quotation_subject0102 computer and information sciences02 engineering and technology01 natural sciencesTheoretical Computer ScienceScheduling (computing)Computer Science - Distributed Parallel and Cluster Computing010201 computation theory & mathematics0202 electrical engineering electronic engineering information engineeringQuality (business)Distributed Parallel and Cluster Computing (cs.DC)[INFO.INFO-DC]Computer Science [cs]/Distributed Parallel and Cluster Computing [cs.DC]Implementationmedia_common
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Low-Power Wide-Area Networks for Sustainable IoT

2019

Low-power wide-area (LPWA) networks are attracting extensive attention because of their abilities to offer low-cost and massive connectivity to Internet of Things (IoT) devices distributed over wide geographical areas. This article provides a brief overview on the existing LPWA technologies and useful insights to aid the large-scale deployment of LPWA networks. Particularly, we first review the currently competing candidates of LPWA networks, such as narrowband IoT (NB-IoT) and long range (LoRa), in terms of technical fundamentals and large-scale deployment potential. Then we present two implementation examples on LPWA networks. By analyzing the field-test results, we identify several chall…

FOS: Computer and information sciencesComputer scienceComputer Science - Information Theory0805 Distributed Computing02 engineering and technologylaw.inventionComputer Science - Networking and Internet ArchitectureBluetoothGSMlaw1005 Communications Technologies0202 electrical engineering electronic engineering information engineeringBandwidth (computing)Resource managementElectrical and Electronic EngineeringNetworking and Internet Architecture (cs.NI)business.industryInformation Theory (cs.IT)020206 networking & telecommunicationsComputer Science ApplicationsPower (physics)0906 Electrical and Electronic EngineeringWide areaSoftware deploymentNetworking & TelecommunicationsTelecommunicationsbusinessInternet of Things
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The IceProd framework: distributed data processing for the IceCube neutrino observatory

2015

IceCube is a one-gigaton instrument located at the geographic South Pole, designed to detect cosmic neutrinos, identify the particle nature of dark matter, and study high-energy neutrinos themselves. Simulation of the IceCube detector and processing of data require a significant amount of computational resources. This paper presents the first detailed description of IceProd, a lightweight distributed management system designed to meet these requirements. It is driven by a central database in order to manage mass production of simulations and analysis of data produced by the IceCube detector. IceProd runs as a separate layer on top of other middleware and can take advantage of a variety of c…

FOS: Computer and information sciencesMonitoringComputer scienceComputer Networks and CommunicationsDistributed computingData managementReal-time computingDistributed managementcomputer.software_genre01 natural sciencesData managementIceCube Neutrino ObservatoryTheoretical Computer ScienceIceCubeArtificial Intelligence0103 physical sciences010306 general physicsData processingData management; Distributed computing; Grid computing; Monitoring010308 nuclear & particles physicsbusiness.industryDistributed computingGrid computingComputer Science - Distributed Parallel and Cluster ComputingHardware and ArchitectureMiddleware (distributed applications)MiddlewareGrid computingParticleDistributed Parallel and Cluster Computing (cs.DC)Neutrinoddc:004businesscomputerSoftware
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Almost disjoint spanning trees: relaxing the conditions for completely independent spanning trees

2017

International audience; The search of spanning trees with interesting disjunction properties has led to the introduction of edge-disjoint spanning trees, independent spanning trees and more recently completely independent spanning trees. We group together these notions by dening (i, j)-disjoint spanning trees, where i (j, respectively) is the number of vertices (edges, respectively) that are shared by more than one tree. We illustrate how (i, j)-disjoint spanning trees provide some nuances between the existence of disjoint connected dominating sets and completely independent spanning trees. We prove that determining if there exist two (i, j)-disjoint spanning trees in a graph G is NP-comple…

FOS: Computer and information sciences[INFO.INFO-CC]Computer Science [cs]/Computational Complexity [cs.CC]Discrete Mathematics (cs.DM)Spanning trees[ INFO.INFO-NI ] Computer Science [cs]/Networking and Internet Architecture [cs.NI]0102 computer and information sciences02 engineering and technologyMinimum spanning tree[INFO.INFO-DM]Computer Science [cs]/Discrete Mathematics [cs.DM]01 natural sciencesConnected dominating setCombinatorics[INFO.INFO-NI]Computer Science [cs]/Networking and Internet Architecture [cs.NI]0202 electrical engineering electronic engineering information engineeringDiscrete Mathematics and CombinatoricsGridMathematicsMinimum degree spanning treeDiscrete mathematics020203 distributed computingTrémaux treeSpanning treeApplied MathematicsShortest-path treeWeight-balanced tree[ INFO.INFO-DM ] Computer Science [cs]/Discrete Mathematics [cs.DM]Disjoint connected dominating setsIndependent spanning trees[ INFO.INFO-CC ] Computer Science [cs]/Computational Complexity [cs.CC]010201 computation theory & mathematicsReverse-delete algorithmCompletely independent spanning treesComputer Science - Discrete MathematicsMathematicsofComputing_DISCRETEMATHEMATICS
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GekkoFS - A Temporary Distributed File System for HPC Applications

2018

We present GekkoFS, a temporary, highly-scalable burst buffer file system which has been specifically optimized for new access patterns of data-intensive High-Performance Computing (HPC) applications. The file system provides relaxed POSIX semantics, only offering features which are actually required by most (not all) applications. It is able to provide scalable I/O performance and reaches millions of metadata operations already for a small number of nodes, significantly outperforming the capabilities of general-purpose parallel file systems. The work has been funded by the German Research Foundation (DFG) through the ADA-FS project as part of the Priority Programme 1648. It is also support…

File system020203 distributed computingBurst buffersParallel processing (Electronic computers)Computer scienceProcessament en paral·lel (Ordinadors)020207 software engineering02 engineering and technologyBuffer storage (Computer science)computer.software_genreData structureDistributed file systemsMetadataParallel processing (DSP implementation)POSIXServerScalabilityHPC0202 electrical engineering electronic engineering information engineeringOperating systemHigh performance computingDistributed File System:Informàtica::Arquitectura de computadors::Arquitectures paral·leles [Àrees temàtiques de la UPC]computerCàlcul intensiu (Informàtica)2018 IEEE International Conference on Cluster Computing (CLUSTER)
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