Logo des Repositoriums
 

Self-Tuning for Short-Term Memory Consumers

dc.contributor.authorOverbeck, Ludger C.
dc.contributor.authorSchmidt, Karsten
dc.date.accessioned2018-01-10T13:17:53Z
dc.date.available2018-01-10T13:17:53Z
dc.date.issued2011
dc.description.abstractWe present an approach to adequately consider short-term memory consumers when using self-tuning buffer techniques. For instance, sort operations often need (large) amounts of memory but only for a short time. Moreover, certain operators, e.g., joins, require (lots of) memory to produce results that are retrieved only once. Unfortunately, most traditional self-tuning techniques fail to observe those peaks, as they need to monitor a system for a while before tuning it, which is often too late.
dc.identifier.pissn1610-1995
dc.identifier.urihttps://dl.gi.de/handle/20.500.12116/11606
dc.publisherSpringer
dc.relation.ispartofDatenbank-Spektrum: Vol. 11, No. 1
dc.relation.ispartofseriesDatenbank-Spektrum
dc.subjectBuffer
dc.subjectI/O reduction
dc.subjectMemory allocation
dc.subjectSelf-tuning
dc.subjectShort-term memory consumer
dc.subjectSort
dc.titleSelf-Tuning for Short-Term Memory Consumers
dc.typeText/Journal Article
gi.citation.endPage41
gi.citation.startPage37

Dateien