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dc.contributor.authorGarcia Calatrava, Carlos
dc.contributor.authorCucchietti, Fernando
dc.contributor.authorBecerra Fontal, Yolanda
dc.identifier.citationGarcia Calatrava, C.; Cucchietti, F.; Becerra Fontal, Y. A compromise archive platform for monitoring infrastructures. A: . Barcelona Supercomputing Center, 2020, p. 23-24.
dc.description.abstractThe great advancement in the technological field has led to an explosion in the amount of generated data. Many different sectors have understood the opportunity that acquiring, storing, and analyzing further information means, which has led to a broad proliferation of measurement devices. Those sensors’ typical job is to monitor the state of the enterprise ecosystem, which can range from a traditional factory, to a commercial mall, or even to the largest experiment on Earth[1]. Big enterprises (BEs) are building their own big data architectures, usually made out of a combination of several state-of-the-art technologies. Finding new interesting data to measure, store and analyze, has become a daily process in the industrial field. However, small and medium-sized enterprises (SMEs) usually lack the resources needed to build those data handling architectures, not just in terms of hardware resources, but also in terms of contracting personnel who can master all those rapidly evolving technologies. Our research tries to adapt two world-wide-used technologies into a single but elastic and moldable one, by tuning them, to offer an alternative and efficient solution for this very specific, but common, scenario.
dc.format.extent2 p.
dc.publisherBarcelona Supercomputing Center
dc.rightsAttribution-NonCommercial-NoDerivs 3.0 Spain
dc.subjectÀrees temàtiques de la UPC::Informàtica::Arquitectura de computadors
dc.subject.lcshHigh performance computing
dc.subject.lcshBig data
dc.subject.lcshInternet of things
dc.subject.otherBig Data
dc.subject.otherStream processing
dc.subject.otherPolyglot Persistence
dc.titleA compromise archive platform for monitoring infrastructures
dc.typeConference report
dc.subject.lemacCàlcul intensiu (Informàtica)
dc.subject.lemacDades massives
dc.subject.lemacInternet de les coses
dc.rights.accessOpen Access

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