Matches in SemOpenAlex for { <https://semopenalex.org/work/W2810326746> ?p ?o ?g. }
- W2810326746 abstract "Advancement in the optimization of resources motivates us to study new mechanisms for the automated and elastic adaptation of virtual computer and network systems. Thus we designed the Autonomic Resource Control Architecture (ARCA), which considers the workload of the controlled system together with events notified by external detectors to perform its work. However, there is a delay between the occurrence of an event and the adaptation of the system. In this paper we propose a mechanism to enable ARCA to anticipate the minimum resource amount required by the controlled system under different situations by using a Machine Learning (ML) mechanism. Related solutions only consider the monitoring data provided by the controlled system, require a long learning period, are fragile to topology changes, and are unfeasible for real time operations. We propose to resolve such problems by using a threshold-based method to self-assess and self-correct the knowledge of our ML-based method, thus achieving self-learning qualities and ensuring that correct decisions are issued. Moreover, we set computational boundaries to the algorithm, so it runs within acceptable performance limits. Finally, we demonstrate its qualities by executing a simulation on a generated dataset following a demonstrated behavior, showing that the anticipation method results in no drop of client requests, using just 15% more resources than a threshold-based method." @default.
- W2810326746 created "2018-07-10" @default.
- W2810326746 creator A5023346968 @default.
- W2810326746 creator A5030815058 @default.
- W2810326746 creator A5089520394 @default.
- W2810326746 date "2018-02-01" @default.
- W2810326746 modified "2023-10-14" @default.
- W2810326746 title "Anticipating minimum resources needed to avoid service disruption of emergency support systems" @default.
- W2810326746 cites W1990911977 @default.
- W2810326746 cites W2080046268 @default.
- W2810326746 cites W2115456330 @default.
- W2810326746 cites W2124499489 @default.
- W2810326746 cites W2137137455 @default.
- W2810326746 cites W2168156818 @default.
- W2810326746 cites W2238224073 @default.
- W2810326746 cites W2541594629 @default.
- W2810326746 cites W2551597558 @default.
- W2810326746 cites W2605819386 @default.
- W2810326746 cites W2609054000 @default.
- W2810326746 cites W2761262364 @default.
- W2810326746 doi "https://doi.org/10.1109/icin.2018.8401614" @default.
- W2810326746 hasPublicationYear "2018" @default.
- W2810326746 type Work @default.
- W2810326746 sameAs 2810326746 @default.
- W2810326746 citedByCount "3" @default.
- W2810326746 countsByYear W28103267462018 @default.
- W2810326746 countsByYear W28103267462019 @default.
- W2810326746 countsByYear W28103267462021 @default.
- W2810326746 crossrefType "proceedings-article" @default.
- W2810326746 hasAuthorship W2810326746A5023346968 @default.
- W2810326746 hasAuthorship W2810326746A5030815058 @default.
- W2810326746 hasAuthorship W2810326746A5089520394 @default.
- W2810326746 hasConcept C111919701 @default.
- W2810326746 hasConcept C119857082 @default.
- W2810326746 hasConcept C120314980 @default.
- W2810326746 hasConcept C120665830 @default.
- W2810326746 hasConcept C121332964 @default.
- W2810326746 hasConcept C127413603 @default.
- W2810326746 hasConcept C136264566 @default.
- W2810326746 hasConcept C139807058 @default.
- W2810326746 hasConcept C154945302 @default.
- W2810326746 hasConcept C162324750 @default.
- W2810326746 hasConcept C176777502 @default.
- W2810326746 hasConcept C177264268 @default.
- W2810326746 hasConcept C199360897 @default.
- W2810326746 hasConcept C200601418 @default.
- W2810326746 hasConcept C206345919 @default.
- W2810326746 hasConcept C2776544517 @default.
- W2810326746 hasConcept C2778476105 @default.
- W2810326746 hasConcept C2779662365 @default.
- W2810326746 hasConcept C2780378061 @default.
- W2810326746 hasConcept C31258907 @default.
- W2810326746 hasConcept C41008148 @default.
- W2810326746 hasConcept C62520636 @default.
- W2810326746 hasConcept C79403827 @default.
- W2810326746 hasConceptScore W2810326746C111919701 @default.
- W2810326746 hasConceptScore W2810326746C119857082 @default.
- W2810326746 hasConceptScore W2810326746C120314980 @default.
- W2810326746 hasConceptScore W2810326746C120665830 @default.
- W2810326746 hasConceptScore W2810326746C121332964 @default.
- W2810326746 hasConceptScore W2810326746C127413603 @default.
- W2810326746 hasConceptScore W2810326746C136264566 @default.
- W2810326746 hasConceptScore W2810326746C139807058 @default.
- W2810326746 hasConceptScore W2810326746C154945302 @default.
- W2810326746 hasConceptScore W2810326746C162324750 @default.
- W2810326746 hasConceptScore W2810326746C176777502 @default.
- W2810326746 hasConceptScore W2810326746C177264268 @default.
- W2810326746 hasConceptScore W2810326746C199360897 @default.
- W2810326746 hasConceptScore W2810326746C200601418 @default.
- W2810326746 hasConceptScore W2810326746C206345919 @default.
- W2810326746 hasConceptScore W2810326746C2776544517 @default.
- W2810326746 hasConceptScore W2810326746C2778476105 @default.
- W2810326746 hasConceptScore W2810326746C2779662365 @default.
- W2810326746 hasConceptScore W2810326746C2780378061 @default.
- W2810326746 hasConceptScore W2810326746C31258907 @default.
- W2810326746 hasConceptScore W2810326746C41008148 @default.
- W2810326746 hasConceptScore W2810326746C62520636 @default.
- W2810326746 hasConceptScore W2810326746C79403827 @default.
- W2810326746 hasLocation W28103267461 @default.
- W2810326746 hasOpenAccess W2810326746 @default.
- W2810326746 hasPrimaryLocation W28103267461 @default.
- W2810326746 hasRelatedWork W1533776166 @default.
- W2810326746 hasRelatedWork W1533857192 @default.
- W2810326746 hasRelatedWork W1580970500 @default.
- W2810326746 hasRelatedWork W1975497031 @default.
- W2810326746 hasRelatedWork W1979035461 @default.
- W2810326746 hasRelatedWork W2049847778 @default.
- W2810326746 hasRelatedWork W2055906872 @default.
- W2810326746 hasRelatedWork W2105396664 @default.
- W2810326746 hasRelatedWork W2255929966 @default.
- W2810326746 hasRelatedWork W2293496213 @default.
- W2810326746 hasRelatedWork W2298254653 @default.
- W2810326746 hasRelatedWork W2582646151 @default.
- W2810326746 hasRelatedWork W2740409037 @default.
- W2810326746 hasRelatedWork W2790050394 @default.
- W2810326746 hasRelatedWork W2804346083 @default.
- W2810326746 hasRelatedWork W2970679317 @default.
- W2810326746 hasRelatedWork W3035213724 @default.
- W2810326746 hasRelatedWork W3037974900 @default.
- W2810326746 hasRelatedWork W3101049346 @default.