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dc.contributor.authorOukid, Ismail
dc.contributor.authorKettler, Robert
dc.contributor.authorWillhalm, Thomas
dc.date.accessioned2018-04-12T13:26:09Z
dc.date.available2018-04-12T13:26:09Z
dc.date.issued2017
dc.identifier.issn1611-2776
dc.identifier.urihttp://dl.gi.de/handle/20.500.12116/16394
dc.description.abstractStorage Class Memory (SCM) is emerging as a viable solution to lift DRAM's scalability limits, both in capacity and energy consumption. Indeed, SCM combines the economic characteristics, non-volatility, and density of traditional storage media with the low latency and byte-addressability of DRAM. In this paper we survey research works on how SCM can be leveraged in databases and explore different solutions ranging from using SCM as disk replacement, to single-level storage architectures, where SCM is used as universal memory (i.e., as memory and storage at the same time), together with the challenges that stem from these opportunities. Finally, we synthesize our findings into recommendations on how to exploit the full potential of SCM in next-generation database architectures.en
dc.language.isoen
dc.publisherDe Gruyter
dc.relation.ispartofit - Information Technology: Vol. 59, No. 5
dc.subjectDatabase architecture
dc.subject database recovery
dc.subject storage class memory
dc.subject non-volatile main memory
dc.subject NVRAM
dc.titleStorage class memory and databases: Opportunities and challengesen
dc.typeText/Journal Article
dc.pubPlaceBerlin
mci.reference.pages109
mci.conference.sessiontitleThematic Issue: Modern Database Architectures for Modern Hardware
dc.identifier.doi10.1515/itit-2016-0052


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