Matches in SemOpenAlex for { <https://semopenalex.org/work/W2787646714> ?p ?o ?g. }
Showing items 1 to 91 of
91
with 100 items per page.
- W2787646714 abstract "The Q-learning based DVFS selection algorithm has been used to lower energy consumption for system-level power management. However, this algorithm normally suffers from overestimation since it greedily uses maximum action value to approximate expected value, consequently fails to select the most appropriate DVFS method for real-time systems. In this article, we propose a Double-Q learning based DVFS selection algorithm to reduce energy consumption. In our scheme, instead of approximating actual action values with only one estimator, it implements Double-Q learning that applies two estimators to efficiently reduce overestimation, leading to an energy-aware scheme that can maintain a relatively stable and sufficient performance in action selection. We evaluate the performance of the proposed scheme through simulated data sets. Results demonstrate that our scheme can save more energy than the Q-learning based scheme while adapting to various system conditions and provide a more stable and accurate DVFS policy selection mechanism for multi-core real-time systems." @default.
- W2787646714 created "2018-02-23" @default.
- W2787646714 creator A5037144027 @default.
- W2787646714 creator A5063023682 @default.
- W2787646714 creator A5079519897 @default.
- W2787646714 date "2017-06-01" @default.
- W2787646714 modified "2023-09-29" @default.
- W2787646714 title "Double-Q Learning-Based DVFS for Multi-core Real-Time Systems" @default.
- W2787646714 cites W2002377960 @default.
- W2787646714 cites W2005636415 @default.
- W2787646714 cites W2008818400 @default.
- W2787646714 cites W2054283680 @default.
- W2787646714 cites W2082363997 @default.
- W2787646714 cites W2093582532 @default.
- W2787646714 cites W2125381034 @default.
- W2787646714 cites W2136325278 @default.
- W2787646714 cites W2164909457 @default.
- W2787646714 cites W2233888282 @default.
- W2787646714 cites W2233909155 @default.
- W2787646714 cites W2746553466 @default.
- W2787646714 doi "https://doi.org/10.1109/ithings-greencom-cpscom-smartdata.2017.83" @default.
- W2787646714 hasPublicationYear "2017" @default.
- W2787646714 type Work @default.
- W2787646714 sameAs 2787646714 @default.
- W2787646714 citedByCount "8" @default.
- W2787646714 countsByYear W27876467142020 @default.
- W2787646714 countsByYear W27876467142021 @default.
- W2787646714 countsByYear W27876467142022 @default.
- W2787646714 crossrefType "proceedings-article" @default.
- W2787646714 hasAuthorship W2787646714A5037144027 @default.
- W2787646714 hasAuthorship W2787646714A5063023682 @default.
- W2787646714 hasAuthorship W2787646714A5079519897 @default.
- W2787646714 hasConcept C105795698 @default.
- W2787646714 hasConcept C11413529 @default.
- W2787646714 hasConcept C119599485 @default.
- W2787646714 hasConcept C127413603 @default.
- W2787646714 hasConcept C134306372 @default.
- W2787646714 hasConcept C154945302 @default.
- W2787646714 hasConcept C185429906 @default.
- W2787646714 hasConcept C186370098 @default.
- W2787646714 hasConcept C188116033 @default.
- W2787646714 hasConcept C2775973920 @default.
- W2787646714 hasConcept C2780165032 @default.
- W2787646714 hasConcept C33923547 @default.
- W2787646714 hasConcept C41008148 @default.
- W2787646714 hasConcept C77618280 @default.
- W2787646714 hasConcept C81917197 @default.
- W2787646714 hasConcept C97541855 @default.
- W2787646714 hasConceptScore W2787646714C105795698 @default.
- W2787646714 hasConceptScore W2787646714C11413529 @default.
- W2787646714 hasConceptScore W2787646714C119599485 @default.
- W2787646714 hasConceptScore W2787646714C127413603 @default.
- W2787646714 hasConceptScore W2787646714C134306372 @default.
- W2787646714 hasConceptScore W2787646714C154945302 @default.
- W2787646714 hasConceptScore W2787646714C185429906 @default.
- W2787646714 hasConceptScore W2787646714C186370098 @default.
- W2787646714 hasConceptScore W2787646714C188116033 @default.
- W2787646714 hasConceptScore W2787646714C2775973920 @default.
- W2787646714 hasConceptScore W2787646714C2780165032 @default.
- W2787646714 hasConceptScore W2787646714C33923547 @default.
- W2787646714 hasConceptScore W2787646714C41008148 @default.
- W2787646714 hasConceptScore W2787646714C77618280 @default.
- W2787646714 hasConceptScore W2787646714C81917197 @default.
- W2787646714 hasConceptScore W2787646714C97541855 @default.
- W2787646714 hasLocation W27876467141 @default.
- W2787646714 hasOpenAccess W2787646714 @default.
- W2787646714 hasPrimaryLocation W27876467141 @default.
- W2787646714 hasRelatedWork W2034433683 @default.
- W2787646714 hasRelatedWork W2112523787 @default.
- W2787646714 hasRelatedWork W2175854325 @default.
- W2787646714 hasRelatedWork W2294449965 @default.
- W2787646714 hasRelatedWork W2340721073 @default.
- W2787646714 hasRelatedWork W2368928101 @default.
- W2787646714 hasRelatedWork W2605298045 @default.
- W2787646714 hasRelatedWork W2612128003 @default.
- W2787646714 hasRelatedWork W2735636452 @default.
- W2787646714 hasRelatedWork W2755690513 @default.
- W2787646714 hasRelatedWork W2774649961 @default.
- W2787646714 hasRelatedWork W2887376719 @default.
- W2787646714 hasRelatedWork W2888896501 @default.
- W2787646714 hasRelatedWork W2906235273 @default.
- W2787646714 hasRelatedWork W3016951453 @default.
- W2787646714 hasRelatedWork W3126552944 @default.
- W2787646714 hasRelatedWork W3128695338 @default.
- W2787646714 hasRelatedWork W3132026437 @default.
- W2787646714 hasRelatedWork W3169000237 @default.
- W2787646714 hasRelatedWork W3191988080 @default.
- W2787646714 isParatext "false" @default.
- W2787646714 isRetracted "false" @default.
- W2787646714 magId "2787646714" @default.
- W2787646714 workType "article" @default.