Matches in SemOpenAlex for { <https://semopenalex.org/work/W2000104472> ?p ?o ?g. }
Showing items 1 to 92 of
92
with 100 items per page.
- W2000104472 abstract "Failure prediction is a promising technique to improve dependability of computer systems, in particular when it is important to foresee incoming failures and take corrective actions to avoid downtime or data corruption. Failure prediction is especially adequate in long running systems where internal errors accumulate and eventually lead to failures. The problem is that such systems do evolve. The workload and even the system itself changes over time, and this may affect the performance of the failure predictor. However, training failure prediction algorithms is a complex and time-consuming task and should be performed only when needed. Thus, it is important to understand if a system change affects prediction performance, to avoid running the target system with an ineffective predictor and prevent unnecessary retraining efforts. In this work we study the performance of a failure predictor when used to forecast failures in a web-serving system subject to successive updates. We observe and analyze the variation of performance in terms of ROC-AUC using fault injection and virtualization for the generation of the data needed for the assessment. Our results suggest that re-training is indeed necessary." @default.
- W2000104472 created "2016-06-24" @default.
- W2000104472 creator A5011482551 @default.
- W2000104472 creator A5016622594 @default.
- W2000104472 creator A5040919007 @default.
- W2000104472 date "2014-01-01" @default.
- W2000104472 modified "2023-09-22" @default.
- W2000104472 title "On the Need for Training Failure Prediction Algorithms in Evolving Software Systems" @default.
- W2000104472 cites W1502138170 @default.
- W2000104472 cites W1529355025 @default.
- W2000104472 cites W1548144892 @default.
- W2000104472 cites W1680392829 @default.
- W2000104472 cites W1766594731 @default.
- W2000104472 cites W1805352283 @default.
- W2000104472 cites W1992534129 @default.
- W2000104472 cites W2004360516 @default.
- W2000104472 cites W2055072422 @default.
- W2000104472 cites W2096611465 @default.
- W2000104472 cites W2102831150 @default.
- W2000104472 cites W2102940270 @default.
- W2000104472 cites W2103375760 @default.
- W2000104472 cites W2104960492 @default.
- W2000104472 cites W2109192777 @default.
- W2000104472 cites W2111038504 @default.
- W2000104472 cites W2114739461 @default.
- W2000104472 cites W2116752428 @default.
- W2000104472 cites W2120860555 @default.
- W2000104472 cites W2124731241 @default.
- W2000104472 cites W2124837944 @default.
- W2000104472 cites W2126177294 @default.
- W2000104472 cites W2133777451 @default.
- W2000104472 cites W2149356814 @default.
- W2000104472 cites W2153635508 @default.
- W2000104472 cites W2155887629 @default.
- W2000104472 cites W2157825442 @default.
- W2000104472 cites W2158698691 @default.
- W2000104472 cites W2164463086 @default.
- W2000104472 cites W2167267243 @default.
- W2000104472 doi "https://doi.org/10.1109/hase.2014.38" @default.
- W2000104472 hasPublicationYear "2014" @default.
- W2000104472 type Work @default.
- W2000104472 sameAs 2000104472 @default.
- W2000104472 citedByCount "8" @default.
- W2000104472 countsByYear W20001044722014 @default.
- W2000104472 countsByYear W20001044722015 @default.
- W2000104472 countsByYear W20001044722018 @default.
- W2000104472 countsByYear W20001044722020 @default.
- W2000104472 crossrefType "proceedings-article" @default.
- W2000104472 hasAuthorship W2000104472A5011482551 @default.
- W2000104472 hasAuthorship W2000104472A5016622594 @default.
- W2000104472 hasAuthorship W2000104472A5040919007 @default.
- W2000104472 hasConcept C111919701 @default.
- W2000104472 hasConcept C115903868 @default.
- W2000104472 hasConcept C119857082 @default.
- W2000104472 hasConcept C127413603 @default.
- W2000104472 hasConcept C180591934 @default.
- W2000104472 hasConcept C200601418 @default.
- W2000104472 hasConcept C201995342 @default.
- W2000104472 hasConcept C2778476105 @default.
- W2000104472 hasConcept C2780451532 @default.
- W2000104472 hasConcept C41008148 @default.
- W2000104472 hasConcept C45804977 @default.
- W2000104472 hasConcept C77019957 @default.
- W2000104472 hasConceptScore W2000104472C111919701 @default.
- W2000104472 hasConceptScore W2000104472C115903868 @default.
- W2000104472 hasConceptScore W2000104472C119857082 @default.
- W2000104472 hasConceptScore W2000104472C127413603 @default.
- W2000104472 hasConceptScore W2000104472C180591934 @default.
- W2000104472 hasConceptScore W2000104472C200601418 @default.
- W2000104472 hasConceptScore W2000104472C201995342 @default.
- W2000104472 hasConceptScore W2000104472C2778476105 @default.
- W2000104472 hasConceptScore W2000104472C2780451532 @default.
- W2000104472 hasConceptScore W2000104472C41008148 @default.
- W2000104472 hasConceptScore W2000104472C45804977 @default.
- W2000104472 hasConceptScore W2000104472C77019957 @default.
- W2000104472 hasLocation W20001044721 @default.
- W2000104472 hasOpenAccess W2000104472 @default.
- W2000104472 hasPrimaryLocation W20001044721 @default.
- W2000104472 hasRelatedWork W2032410490 @default.
- W2000104472 hasRelatedWork W2054561562 @default.
- W2000104472 hasRelatedWork W2078760363 @default.
- W2000104472 hasRelatedWork W2080951167 @default.
- W2000104472 hasRelatedWork W2089195328 @default.
- W2000104472 hasRelatedWork W2525627128 @default.
- W2000104472 hasRelatedWork W2560397303 @default.
- W2000104472 hasRelatedWork W2985067658 @default.
- W2000104472 hasRelatedWork W3195813808 @default.
- W2000104472 hasRelatedWork W4298002598 @default.
- W2000104472 isParatext "false" @default.
- W2000104472 isRetracted "false" @default.
- W2000104472 magId "2000104472" @default.
- W2000104472 workType "article" @default.