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dc.contributor.authorJafarov, Farid-
dc.date.accessioned2023-04-28T19:39:20Z-
dc.date.available2023-04-28T19:39:20Z-
dc.date.issued2020-06-
dc.identifier.issn2616-6127-
dc.identifier.issn2617-4383-
dc.identifier.otherhttps://doi.org/10.32010/26166127.2020.3.1.139.146-
dc.identifier.urihttp://localhost:8080/xmlui/handle/123456789/33-
dc.description.abstractDue to the growing demand for parallel programs and mathematical and industrial problems that require high performance computing, cluster systems are one of the essential parts of the computing world. Clusters have different features, and there are multiple topics can be studied while working in these systems. In this paper, the related issues about visualization procedure in clusters will be discussed, analyzed, and researched. There are quite similar visualization manners in a cluster environment, like the visualization of hardware usage, process flow, data flow, environmental data, etc. And the majority of contemporary monitoring tools were prepared with a particular target; for example, Nagios was developed to mainly monitor network and devices related to the work of the network. Hence, it is almost impossible to find a unique tool that can be used for most of the purposes mentioned above. This paper will mention the possibilities of having unique monitoring tools for most cluster systems.en_US
dc.language.isoenen_US
dc.publisherAzerbaijan Journal of High Performance Computingen_US
dc.subjectHigh performance computingen_US
dc.subjectClustersen_US
dc.subjectVisualization toolsen_US
dc.subjectDaemonsen_US
dc.subjectMonitoringen_US
dc.titleTHE HYBRID PROCESS AND DATA MONITORING TOOLS FOR HIGH PERFORMANCE COMPUTING SYSTEMSen_US
dc.typeArticleen_US
dc.source.journaltitleAzerbaijan Journal of High Performance Computingen_US
dc.source.volume3en_US
dc.source.issue1en_US
dc.source.beginpage139en_US
dc.source.endpage146en_US
dc.source.numberofpages8en_US
Appears in Collections:Azerbaijan Journal of High Performance Computing

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