Towards Performance Prediction in Massive Scale Datastores

dc.contributor.author	Francisco Miguel Cruz	en
dc.contributor.author	Fábio André Coelho	en
dc.contributor.author	Rui Carlos Oliveira	en
dc.date.accessioned	2017-12-18T17:45:07Z
dc.date.available	2017-12-18T17:45:07Z
dc.date.issued	2016	en
dc.description.abstract	Buffer 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.identifier.uri	http://repositorio.inesctec.pt/handle/123456789/4244
dc.identifier.uri	http://dx.doi.org/10.5220/0005929203	en
dc.language	eng	en
dc.relation	5656	en
dc.relation	6059	en
dc.relation	5594	en
dc.rights	info:eu-repo/semantics/openAccess	en
dc.title	Towards Performance Prediction in Massive Scale Datastores	en
dc.type	conferenceObject	en
dc.type	Publication	en

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