Matches in SemOpenAlex for { <https://semopenalex.org/work/W2899166719> ?p ?o ?g. }
Showing items 1 to 91 of
91
with 100 items per page.
- W2899166719 endingPage "187" @default.
- W2899166719 startingPage "176" @default.
- W2899166719 abstract "In a Cloud context, Solid State Drive (SSD) became a must-have technology. This technology is too expensive to replace Hard Disk Drive (HDD), both are used in Hybrid Storage Systems (HSS). When it comes to storing data, placement strategies are employed to find the best storage class to use (SSD or HDD). While for many applications, those strategies need to be I/O performance driven, in a Cloud context, they must be cost driven: minimize the cost of data placement while satisfying Service Level Objectives. This paper presents two Cost based Object Placement Strategies (COPS) for DBaaS objects in HSS: a genetic algorithm based approach (G-COPS) and an ad-hoc heuristic approach (H-COPS) based on incremental optimizations. Both algorithms were tested for small and large instance problems. While G-COPS proved to be closer to the optimal solution in case of small instance problems, H-COPS showed a better scalability as it approached the exact solution even for large instance problems (by 10% on average). Both performed better than state-of-the-art solutions as they reduced the overall cost by more than 40%. In addition, H-COPS showed small execution times which makes it a good candidate for a runtime use. Moreover, H-COPS drastically limits the over-provisioning of resources." @default.
- W2899166719 created "2018-11-09" @default.
- W2899166719 creator A5019747586 @default.
- W2899166719 creator A5020001067 @default.
- W2899166719 creator A5044804264 @default.
- W2899166719 creator A5051314400 @default.
- W2899166719 creator A5086082753 @default.
- W2899166719 date "2019-04-01" @default.
- W2899166719 modified "2023-10-06" @default.
- W2899166719 title "Optimizing the cost of DBaaS object placement in hybrid storage systems" @default.
- W2899166719 cites W1971915958 @default.
- W2899166719 cites W2017854086 @default.
- W2899166719 cites W2084717310 @default.
- W2899166719 cites W2098270581 @default.
- W2899166719 cites W2129805326 @default.
- W2899166719 cites W2140472670 @default.
- W2899166719 cites W2152102944 @default.
- W2899166719 cites W2152563679 @default.
- W2899166719 cites W2304114894 @default.
- W2899166719 cites W2762574995 @default.
- W2899166719 cites W4255669744 @default.
- W2899166719 cites W866991966 @default.
- W2899166719 doi "https://doi.org/10.1016/j.future.2018.10.030" @default.
- W2899166719 hasPublicationYear "2019" @default.
- W2899166719 type Work @default.
- W2899166719 sameAs 2899166719 @default.
- W2899166719 citedByCount "12" @default.
- W2899166719 countsByYear W28991667192020 @default.
- W2899166719 countsByYear W28991667192021 @default.
- W2899166719 countsByYear W28991667192022 @default.
- W2899166719 countsByYear W28991667192023 @default.
- W2899166719 crossrefType "journal-article" @default.
- W2899166719 hasAuthorship W2899166719A5019747586 @default.
- W2899166719 hasAuthorship W2899166719A5020001067 @default.
- W2899166719 hasAuthorship W2899166719A5044804264 @default.
- W2899166719 hasAuthorship W2899166719A5051314400 @default.
- W2899166719 hasAuthorship W2899166719A5086082753 @default.
- W2899166719 hasConcept C111919701 @default.
- W2899166719 hasConcept C11413529 @default.
- W2899166719 hasConcept C120314980 @default.
- W2899166719 hasConcept C151730666 @default.
- W2899166719 hasConcept C154945302 @default.
- W2899166719 hasConcept C172191483 @default.
- W2899166719 hasConcept C173801870 @default.
- W2899166719 hasConcept C2777059624 @default.
- W2899166719 hasConcept C2777212361 @default.
- W2899166719 hasConcept C2779343474 @default.
- W2899166719 hasConcept C2781238097 @default.
- W2899166719 hasConcept C41008148 @default.
- W2899166719 hasConcept C48044578 @default.
- W2899166719 hasConcept C48103436 @default.
- W2899166719 hasConcept C79974875 @default.
- W2899166719 hasConcept C86803240 @default.
- W2899166719 hasConceptScore W2899166719C111919701 @default.
- W2899166719 hasConceptScore W2899166719C11413529 @default.
- W2899166719 hasConceptScore W2899166719C120314980 @default.
- W2899166719 hasConceptScore W2899166719C151730666 @default.
- W2899166719 hasConceptScore W2899166719C154945302 @default.
- W2899166719 hasConceptScore W2899166719C172191483 @default.
- W2899166719 hasConceptScore W2899166719C173801870 @default.
- W2899166719 hasConceptScore W2899166719C2777059624 @default.
- W2899166719 hasConceptScore W2899166719C2777212361 @default.
- W2899166719 hasConceptScore W2899166719C2779343474 @default.
- W2899166719 hasConceptScore W2899166719C2781238097 @default.
- W2899166719 hasConceptScore W2899166719C41008148 @default.
- W2899166719 hasConceptScore W2899166719C48044578 @default.
- W2899166719 hasConceptScore W2899166719C48103436 @default.
- W2899166719 hasConceptScore W2899166719C79974875 @default.
- W2899166719 hasConceptScore W2899166719C86803240 @default.
- W2899166719 hasFunder F4320313549 @default.
- W2899166719 hasLocation W28991667191 @default.
- W2899166719 hasLocation W28991667192 @default.
- W2899166719 hasOpenAccess W2899166719 @default.
- W2899166719 hasPrimaryLocation W28991667191 @default.
- W2899166719 hasRelatedWork W1973694374 @default.
- W2899166719 hasRelatedWork W2017432143 @default.
- W2899166719 hasRelatedWork W2370475531 @default.
- W2899166719 hasRelatedWork W2783065147 @default.
- W2899166719 hasRelatedWork W2785227142 @default.
- W2899166719 hasRelatedWork W2983574358 @default.
- W2899166719 hasRelatedWork W4241787744 @default.
- W2899166719 hasRelatedWork W4244478748 @default.
- W2899166719 hasRelatedWork W4312723892 @default.
- W2899166719 hasRelatedWork W572531444 @default.
- W2899166719 hasVolume "93" @default.
- W2899166719 isParatext "false" @default.
- W2899166719 isRetracted "false" @default.
- W2899166719 magId "2899166719" @default.
- W2899166719 workType "article" @default.