Matches in SemOpenAlex for { <https://semopenalex.org/work/W3211336323> ?p ?o ?g. }
- W3211336323 abstract "Deep learning model inference is a key service in many businesses and scientific discovery processes. This paper introduces Ribbon, a novel deep learning inference serving system that meets two competing objectives: quality-of-service (QoS) target and cost-effectiveness. The key idea behind Ribbon is to intelligently employ a diverse set of cloud computing instances (heterogeneous instances) to meet the QoS target and maximize cost savings. Ribbon devises a Bayesian Optimization-driven strategy that helps users build the optimal set of heterogeneous instances for their model inference service needs on cloud computing platforms - and, Ribbon demonstrates its superiority over existing approaches of inference serving systems using homogeneous instance pools. Ribbon saves up to 16% of the inference service cost for different learning models including emerging deep learning recommender system models and drug-discovery enabling models." @default.
- W3211336323 created "2021-11-08" @default.
- W3211336323 creator A5007281535 @default.
- W3211336323 creator A5023809975 @default.
- W3211336323 creator A5043450560 @default.
- W3211336323 creator A5059477581 @default.
- W3211336323 creator A5065377148 @default.
- W3211336323 creator A5074406596 @default.
- W3211336323 date "2021-11-13" @default.
- W3211336323 modified "2023-10-14" @default.
- W3211336323 title "RIBBON" @default.
- W3211336323 cites W1974825269 @default.
- W3211336323 cites W1977295820 @default.
- W3211336323 cites W1978749319 @default.
- W3211336323 cites W1996685717 @default.
- W3211336323 cites W2002472616 @default.
- W3211336323 cites W2025549137 @default.
- W3211336323 cites W2038249652 @default.
- W3211336323 cites W2051053528 @default.
- W3211336323 cites W2088692353 @default.
- W3211336323 cites W2099517310 @default.
- W3211336323 cites W2154042331 @default.
- W3211336323 cites W2158612795 @default.
- W3211336323 cites W2168934464 @default.
- W3211336323 cites W2187341577 @default.
- W3211336323 cites W2192203593 @default.
- W3211336323 cites W2194775991 @default.
- W3211336323 cites W2261536765 @default.
- W3211336323 cites W2462003606 @default.
- W3211336323 cites W2475334473 @default.
- W3211336323 cites W2480662436 @default.
- W3211336323 cites W2522214268 @default.
- W3211336323 cites W2528800812 @default.
- W3211336323 cites W2605350416 @default.
- W3211336323 cites W2606722458 @default.
- W3211336323 cites W2723293840 @default.
- W3211336323 cites W2735344137 @default.
- W3211336323 cites W2757024591 @default.
- W3211336323 cites W2760528149 @default.
- W3211336323 cites W2764100055 @default.
- W3211336323 cites W2766821499 @default.
- W3211336323 cites W2767239597 @default.
- W3211336323 cites W2772948367 @default.
- W3211336323 cites W2773229007 @default.
- W3211336323 cites W2777417212 @default.
- W3211336323 cites W2778051509 @default.
- W3211336323 cites W2782674619 @default.
- W3211336323 cites W2796889653 @default.
- W3211336323 cites W2802235618 @default.
- W3211336323 cites W2889643115 @default.
- W3211336323 cites W2892350999 @default.
- W3211336323 cites W2910482069 @default.
- W3211336323 cites W2926143647 @default.
- W3211336323 cites W2931122162 @default.
- W3211336323 cites W2962745591 @default.
- W3211336323 cites W2963642335 @default.
- W3211336323 cites W2963822306 @default.
- W3211336323 cites W2971890617 @default.
- W3211336323 cites W2973172293 @default.
- W3211336323 cites W2980856918 @default.
- W3211336323 cites W2998827957 @default.
- W3211336323 cites W3016842236 @default.
- W3211336323 cites W3017091196 @default.
- W3211336323 cites W3021746702 @default.
- W3211336323 cites W3023238978 @default.
- W3211336323 cites W3023402713 @default.
- W3211336323 cites W3043571714 @default.
- W3211336323 cites W3047371394 @default.
- W3211336323 cites W3109610142 @default.
- W3211336323 cites W3130281579 @default.
- W3211336323 cites W3130689885 @default.
- W3211336323 cites W3176750915 @default.
- W3211336323 cites W3188253575 @default.
- W3211336323 cites W4236491543 @default.
- W3211336323 cites W4253824360 @default.
- W3211336323 doi "https://doi.org/10.1145/3458817.3476168" @default.
- W3211336323 hasPublicationYear "2021" @default.
- W3211336323 type Work @default.
- W3211336323 sameAs 3211336323 @default.
- W3211336323 citedByCount "4" @default.
- W3211336323 countsByYear W32113363232022 @default.
- W3211336323 countsByYear W32113363232023 @default.
- W3211336323 crossrefType "proceedings-article" @default.
- W3211336323 hasAuthorship W3211336323A5007281535 @default.
- W3211336323 hasAuthorship W3211336323A5023809975 @default.
- W3211336323 hasAuthorship W3211336323A5043450560 @default.
- W3211336323 hasAuthorship W3211336323A5059477581 @default.
- W3211336323 hasAuthorship W3211336323A5065377148 @default.
- W3211336323 hasAuthorship W3211336323A5074406596 @default.
- W3211336323 hasBestOaLocation W32113363232 @default.
- W3211336323 hasConcept C107673813 @default.
- W3211336323 hasConcept C108583219 @default.
- W3211336323 hasConcept C111919701 @default.
- W3211336323 hasConcept C119857082 @default.
- W3211336323 hasConcept C120314980 @default.
- W3211336323 hasConcept C136264566 @default.
- W3211336323 hasConcept C154945302 @default.
- W3211336323 hasConcept C160234255 @default.
- W3211336323 hasConcept C162324750 @default.
- W3211336323 hasConcept C177264268 @default.