Please use this identifier to cite or link to this item: http://repositorio.inesctec.pt/handle/123456789/4244
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dc.contributor.authorFrancisco Miguel Cruzen
dc.contributor.authorFábio André Coelhoen
dc.contributor.authorRui Carlos Oliveiraen
dc.date.accessioned2017-12-18T17:45:07Z-
dc.date.available2017-12-18T17:45:07Z-
dc.date.issued2016en
dc.identifier.urihttp://repositorio.inesctec.pt/handle/123456789/4244-
dc.identifier.urihttp://dx.doi.org/10.5220/0005929203en
dc.description.abstractBuffer caching mechanisms are paramount to improve the performance of today's massive scale NoSQL databases. In this work, we show that in fact there is a direct and univocal relationship between the resource usage and the cache hit ratio in NoSQL databases. In addition, this relationship can be leveraged to build a mechanism that is able to estimate resource usage of the nodes composing the NoSQL cluster.en
dc.languageengen
dc.relation5656en
dc.relation6059en
dc.relation5594en
dc.rightsinfo:eu-repo/semantics/openAccessen
dc.titleTowards Performance Prediction in Massive Scale Datastoresen
dc.typeconferenceObjecten
dc.typePublicationen
Appears in Collections:HASLab - Indexed Articles in Conferences

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