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Adaptive Architectures for Robust Data Management Systems

dc.contributor.authorBang, Tiemo
dc.contributor.editorKönig-Ries, Birgitta
dc.contributor.editorScherzinger, Stefanie
dc.contributor.editorLehner, Wolfgang
dc.contributor.editorVossen, Gottfried
dc.date.accessioned2023-02-23T13:59:55Z
dc.date.available2023-02-23T13:59:55Z
dc.date.issued2023
dc.description.abstractForm follows function is a well-known expression by the architect Sullivan asserting that the architecture of a building should follow its function. 'Adaptive Architectures for Robust Data Management Systems' is a dissertation asserting that DBMS architectures should follow changing workload and hardware to robustly achieve high DBMS performance. The dissertation first evaluates how workload and hardware affect the performance of DBMSs with static architectures. This evaluation concludes that static DBMS architectures degrade DBMS performance under changing workload and hardware, and hence the DBMS architecture has to become adaptive. Subsequently, adaptation concepts for the architecture of single-server and multi-server DBMSs are proposed. These concepts focus fine-grained adaptation of DBMS architectures and are realized through asynchronous programming models. These programming models decouple the implementation of DBMS components from fine-grained architectural optimization. Thereby, optimizers can derive novel architectures better fitting individual DBMS components, leading to high and robust DBMS performance under changing conditions.en
dc.identifier.doi10.18420/BTW2023-33
dc.identifier.isbn978-3-88579-725-8
dc.identifier.urihttps://dl.gi.de/handle/20.500.12116/40339
dc.language.isoen
dc.publisherGesellschaft für Informatik e.V.
dc.relation.ispartofBTW 2023
dc.relation.ispartofseriesLecture Notes in Informatics (LNI) - Proceedings, Volume P-331
dc.subjectDatabase Management System
dc.subjectArchitecture
dc.subjectAdaptation
dc.subjectScale-Up
dc.subjectScale-Out
dc.titleAdaptive Architectures for Robust Data Management Systemsen
dc.typeText/Conference Paper
gi.citation.endPage647
gi.citation.publisherPlaceBonn
gi.citation.startPage641
gi.conference.date06.-10. März 2023
gi.conference.locationDresden, Germany

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