Matches in SemOpenAlex for { <https://semopenalex.org/work/W3152470871> ?p ?o ?g. }
Showing items 1 to 97 of
97
with 100 items per page.
- W3152470871 abstract "Recently, Apache Structured Streaming (ASS) has been released with many benefits such as supporting incremental query models and end-to-end applications, integrating with Spark SQL engine, and etc. However, ASS has a huge amount of configuration parameters needing to be set properly, which is critical for performance. And it is extremely difficult, if feasible, to manually tune these configuration parameters for optimal performance. In this paper, we propose ACS to tune the configuration of Apache Structured Streaming programs automatically. ACS includes two key technologies: 1) Support Vector Machine (SVM) is leveraged to accurately build a performance model; 2) Genetic Algorithm (GA) is employed to realise the optimal configurations searching. We adopt four typical structured streaming programs for performance evaluation. The results show that compared to the default configurations recommended by official guidelines, ACS improves the throughput by an average of 2.29× and up to 2.52×, and reduces the latency by an average of 3.08× and up to 3.96×." @default.
- W3152470871 created "2021-04-13" @default.
- W3152470871 creator A5044471851 @default.
- W3152470871 creator A5048614443 @default.
- W3152470871 creator A5052267876 @default.
- W3152470871 creator A5055200639 @default.
- W3152470871 creator A5056248574 @default.
- W3152470871 creator A5081527767 @default.
- W3152470871 date "2020-12-01" @default.
- W3152470871 modified "2023-09-25" @default.
- W3152470871 title "ACS: Auto-Tuning the Configurations of Structured Streaming Programs by Using SVM" @default.
- W3152470871 cites W1598064945 @default.
- W3152470871 cites W1976821017 @default.
- W3152470871 cites W2008503861 @default.
- W3152470871 cites W2017375765 @default.
- W3152470871 cites W2030059621 @default.
- W3152470871 cites W2038412523 @default.
- W3152470871 cites W2068338745 @default.
- W3152470871 cites W2141684031 @default.
- W3152470871 cites W2189465200 @default.
- W3152470871 cites W2247317079 @default.
- W3152470871 cites W2251801071 @default.
- W3152470871 cites W2318383848 @default.
- W3152470871 cites W2776147949 @default.
- W3152470871 cites W2792529086 @default.
- W3152470871 cites W2798434712 @default.
- W3152470871 cites W2887412037 @default.
- W3152470871 cites W2890210703 @default.
- W3152470871 cites W2894172627 @default.
- W3152470871 cites W2961614712 @default.
- W3152470871 cites W3042790499 @default.
- W3152470871 cites W3096098909 @default.
- W3152470871 doi "https://doi.org/10.1109/bigdia51454.2020.00040" @default.
- W3152470871 hasPublicationYear "2020" @default.
- W3152470871 type Work @default.
- W3152470871 sameAs 3152470871 @default.
- W3152470871 citedByCount "0" @default.
- W3152470871 crossrefType "proceedings-article" @default.
- W3152470871 hasAuthorship W3152470871A5044471851 @default.
- W3152470871 hasAuthorship W3152470871A5048614443 @default.
- W3152470871 hasAuthorship W3152470871A5052267876 @default.
- W3152470871 hasAuthorship W3152470871A5055200639 @default.
- W3152470871 hasAuthorship W3152470871A5056248574 @default.
- W3152470871 hasAuthorship W3152470871A5081527767 @default.
- W3152470871 hasConcept C111919701 @default.
- W3152470871 hasConcept C119857082 @default.
- W3152470871 hasConcept C120314980 @default.
- W3152470871 hasConcept C12267149 @default.
- W3152470871 hasConcept C124101348 @default.
- W3152470871 hasConcept C157764524 @default.
- W3152470871 hasConcept C177264268 @default.
- W3152470871 hasConcept C199360897 @default.
- W3152470871 hasConcept C26517878 @default.
- W3152470871 hasConcept C2777611316 @default.
- W3152470871 hasConcept C2781215313 @default.
- W3152470871 hasConcept C41008148 @default.
- W3152470871 hasConcept C510870499 @default.
- W3152470871 hasConcept C555944384 @default.
- W3152470871 hasConcept C76155785 @default.
- W3152470871 hasConcept C77088390 @default.
- W3152470871 hasConcept C82876162 @default.
- W3152470871 hasConcept C8880873 @default.
- W3152470871 hasConceptScore W3152470871C111919701 @default.
- W3152470871 hasConceptScore W3152470871C119857082 @default.
- W3152470871 hasConceptScore W3152470871C120314980 @default.
- W3152470871 hasConceptScore W3152470871C12267149 @default.
- W3152470871 hasConceptScore W3152470871C124101348 @default.
- W3152470871 hasConceptScore W3152470871C157764524 @default.
- W3152470871 hasConceptScore W3152470871C177264268 @default.
- W3152470871 hasConceptScore W3152470871C199360897 @default.
- W3152470871 hasConceptScore W3152470871C26517878 @default.
- W3152470871 hasConceptScore W3152470871C2777611316 @default.
- W3152470871 hasConceptScore W3152470871C2781215313 @default.
- W3152470871 hasConceptScore W3152470871C41008148 @default.
- W3152470871 hasConceptScore W3152470871C510870499 @default.
- W3152470871 hasConceptScore W3152470871C555944384 @default.
- W3152470871 hasConceptScore W3152470871C76155785 @default.
- W3152470871 hasConceptScore W3152470871C77088390 @default.
- W3152470871 hasConceptScore W3152470871C82876162 @default.
- W3152470871 hasConceptScore W3152470871C8880873 @default.
- W3152470871 hasLocation W31524708711 @default.
- W3152470871 hasOpenAccess W3152470871 @default.
- W3152470871 hasPrimaryLocation W31524708711 @default.
- W3152470871 hasRelatedWork W10141861 @default.
- W3152470871 hasRelatedWork W1067728 @default.
- W3152470871 hasRelatedWork W11071129 @default.
- W3152470871 hasRelatedWork W11108712 @default.
- W3152470871 hasRelatedWork W14807188 @default.
- W3152470871 hasRelatedWork W1600406 @default.
- W3152470871 hasRelatedWork W1862542 @default.
- W3152470871 hasRelatedWork W3630269 @default.
- W3152470871 hasRelatedWork W7094477 @default.
- W3152470871 hasRelatedWork W762797 @default.
- W3152470871 isParatext "false" @default.
- W3152470871 isRetracted "false" @default.
- W3152470871 magId "3152470871" @default.
- W3152470871 workType "article" @default.