Search results for "Job scheduler"

showing 3 items of 3 documents

Effects and Benefits of Node Sharing Strategies in HPC Batch Systems

2019

Processor manufacturers today scale performance by increasing the number of cores on each CPU. Unfortunately, not all HPC applications can efficiently saturate all cores of a single node, even if they successfully scale to thousands of nodes. For these applications, sharing nodes with other applications can help to stress different resources on the nodes to more efficiently use them. Previous work has shown that the performance impact of node sharing is very application dependent but very little work has studied its effects within batch systems and for complex parallel application mixes. Administrators therefore typically fear the complexity of running a batch system supporting node sharing…

Job scheduler020203 distributed computingSingle nodeComputer scienceDistributed computing0202 electrical engineering electronic engineering information engineeringBatch processing020201 artificial intelligence & image processingWorkload02 engineering and technologycomputer.software_genrecomputerScheduling (computing)2019 IEEE International Parallel and Distributed Processing Symposium (IPDPS)
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A Simulation-based Performance Evaluation of Heuristics for Dew Computing

2021

Job schedulerScheduling heuristicsComputer engineeringComputer scienceDewcomputer.software_genreHeuristicsVDP::Teknologi: 500::Informasjons- og kommunikasjonsteknologi: 550Mobile deviceSimulation basedcomputerEdge computingProceedings of the Annual Hawaii International Conference on System Sciences
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A Task Execution Scheme for Dew Computing with State-of-the-Art Smartphones

2021

The computing resources of today’s smartphones are underutilized most of the time. Using these resources could be highly beneficial in edge computing and fog computing contexts, for example, to support urban services for citizens. However, new challenges, especially regarding job scheduling, arise. Smartphones may form ad hoc networks, but individual devices highly differ in computational capabilities and (tolerable) energy usage. We take into account these particularities to validate a task execution scheme that relies on the computing power that clusters of mobile devices could provide. In this paper, we expand the study of several practical heuristics for job scheduling including executi…

Job schedulerTK7800-8360Computer Networks and CommunicationsComputer scienceWireless ad hoc networkdew computingcomputer.software_genresmartphoneScheduling (computing)Task (computing)edge computingscheduling heuristicsHardware and ArchitectureControl and Systems EngineeringHuman–computer interactionMiddlewareSignal ProcessingElectrical and Electronic EngineeringElectronicsjob schedulingHeuristicsVDP::Teknologi: 500::Informasjons- og kommunikasjonsteknologi: 550Mobile devicecomputerEdge computingElectronics
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