{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,1]],"date-time":"2026-07-01T03:50:57Z","timestamp":1782877857920,"version":"3.54.5"},"publisher-location":"New York, NY, USA","reference-count":107,"publisher":"ACM","license":[{"start":{"date-parts":[[2022,3,28]],"date-time":"2022-03-28T00:00:00Z","timestamp":1648425600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/100017437","name":"NASA Headquarters","doi-asserted-by":"publisher","award":["80NSSC20K1720, 521418-SC"],"award-info":[{"award-number":["80NSSC20K1720, 521418-SC"]}],"id":[{"id":"10.13039\/100017437","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100000001","name":"NSF (National Science Foundation)","doi-asserted-by":"publisher","award":["2007202, 2107463, 2038080"],"award-info":[{"award-number":["2007202, 2107463, 2038080"]}],"id":[{"id":"10.13039\/100000001","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2022,3,28]]},"DOI":"10.1145\/3492321.3519575","type":"proceedings-article","created":{"date-parts":[[2022,3,28]],"date-time":"2022-03-28T14:28:18Z","timestamp":1648477698000},"page":"199-217","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":29,"title":["Unicorn"],"prefix":"10.1145","author":[{"given":"Md Shahriar","family":"Iqbal","sequence":"first","affiliation":[{"name":"University of South Carolina"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Rahul","family":"Krishna","sequence":"additional","affiliation":[{"name":"IBM Research"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Mohammad Ali","family":"Javidian","sequence":"additional","affiliation":[{"name":"Purdue University"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Baishakhi","family":"Ray","sequence":"additional","affiliation":[{"name":"Columbia University"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Pooyan","family":"Jamshidi","sequence":"additional","affiliation":[{"name":"University of South Carolina"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"320","published-online":{"date-parts":[[2022,3,28]]},"reference":[{"key":"e_1_3_2_2_1_1","volume-title":"NVIDIA developer forums: https:\/\/forums.developer.nvidia.com\/t\/54307","author":"Slow","year":"2017","unstructured":"Slow image classification with tensorflow on TX2. In NVIDIA developer forums: https:\/\/forums.developer.nvidia.com\/t\/54307 , October 2017 . Slow image classification with tensorflow on TX2. In NVIDIA developer forums: https:\/\/forums.developer.nvidia.com\/t\/54307, October 2017."},{"key":"e_1_3_2_2_2_1","volume-title":"NVIDIA developer forums: https:\/\/forums.developer.nvidia.com\/t\/50477","author":"Cuda","year":"2020","unstructured":"Cuda performance issue on TX2. In NVIDIA developer forums: https:\/\/forums.developer.nvidia.com\/t\/50477 , June 2020 . Cuda performance issue on TX2. In NVIDIA developer forums: https:\/\/forums.developer.nvidia.com\/t\/50477, June 2020."},{"key":"e_1_3_2_2_3_1","volume-title":"NVIDIA developer forums: https:\/\/forums.developer.nvidia.com\/t\/111704","author":"General","year":"2020","unstructured":"General performance problems. In NVIDIA developer forums: https:\/\/forums.developer.nvidia.com\/t\/111704 , February 2020 . General performance problems. In NVIDIA developer forums: https:\/\/forums.developer.nvidia.com\/t\/111704, February 2020."},{"key":"e_1_3_2_2_4_1","volume-title":"NVIDIA developer forums: https:\/\/forums.developer.nvidia.com\/t\/124381","author":"High","year":"2020","unstructured":"High CPU usage on jetson TX2 with GigE fully loaded. In NVIDIA developer forums: https:\/\/forums.developer.nvidia.com\/t\/124381 , May 2020 . High CPU usage on jetson TX2 with GigE fully loaded. In NVIDIA developer forums: https:\/\/forums.developer.nvidia.com\/t\/124381, May 2020."},{"key":"e_1_3_2_2_5_1","volume-title":"https:\/\/developer.nvidia.com\/deepstream-sdk","author":"Nvidia","year":"2021","unstructured":"Nvidia deepstream sdk. https:\/\/developer.nvidia.com\/deepstream-sdk , 2021 . Nvidia deepstream sdk. https:\/\/developer.nvidia.com\/deepstream-sdk, 2021."},{"key":"e_1_3_2_2_6_1","volume-title":"https:\/\/www.sqlite.org\/index.html","author":"Sqlite","year":"2021","unstructured":"Sqlite database engine. https:\/\/www.sqlite.org\/index.html , 2021 . Sqlite database engine. https:\/\/www.sqlite.org\/index.html, 2021."},{"key":"e_1_3_2_2_7_1","volume-title":"https:\/\/www.videolan.org\/developers\/x264.html","year":"2021","unstructured":"X264 video encoder. https:\/\/www.videolan.org\/developers\/x264.html , 2021 . X264 video encoder. https:\/\/www.videolan.org\/developers\/x264.html, 2021."},{"key":"e_1_3_2_2_8_1","first-page":"1","volume-title":"Proc. of Working Conference on Software Visualization (VISSOFT)","author":"Alcocer J. P. S.","year":"2013","unstructured":"Alcocer , J. P. S. , Bergel , A. , Ducasse , S. , and Denker , M . Performance evolution blueprint: Understanding the impact of software evolution on performance . In Proc. of Working Conference on Software Visualization (VISSOFT) ( 2013 ), IEEE, pp. 1 -- 9 . Alcocer, J. P. S., Bergel, A., Ducasse, S., and Denker, M. Performance evolution blueprint: Understanding the impact of software evolution on performance. In Proc. of Working Conference on Software Visualization (VISSOFT) (2013), IEEE, pp. 1--9."},{"key":"e_1_3_2_2_9_1","doi-asserted-by":"publisher","DOI":"10.1007\/s10009-010-0139-9"},{"key":"e_1_3_2_2_10_1","first-page":"307","volume-title":"Presented as part of the 10th {USENIX} Symposium on Operating Systems Design and Implementation ({OSDI} 12)","author":"Attariyan M.","year":"2012","unstructured":"Attariyan , M. , Chow , M. , and Flinn , J . X-ray: Automating root-cause diagnosis of performance anomalies in production software . In Presented as part of the 10th {USENIX} Symposium on Operating Systems Design and Implementation ({OSDI} 12) ( 2012 ), pp. 307 -- 320 . Attariyan, M., Chow, M., and Flinn, J. X-ray: Automating root-cause diagnosis of performance anomalies in production software. In Presented as part of the 10th {USENIX} Symposium on Operating Systems Design and Implementation ({OSDI} 12) (2012), pp. 307--320."},{"key":"e_1_3_2_2_11_1","first-page":"1","volume-title":"OSDI","volume":"10","author":"Attariyan M.","year":"2010","unstructured":"Attariyan , M. , and Flinn , J . Automating configuration troubleshooting with dynamic information flow analysis . In OSDI ( 2010 ), vol. 10 , pp. 1 -- 14 . Attariyan, M., and Flinn, J. Automating configuration troubleshooting with dynamic information flow analysis. In OSDI (2010), vol. 10, pp. 1--14."},{"key":"e_1_3_2_2_12_1","doi-asserted-by":"publisher","DOI":"10.1145\/1831708.1831717"},{"key":"e_1_3_2_2_13_1","unstructured":"blames 'faulty configuration change' for nearly six-hour outage F. https:\/\/t.ly\/Dy1s.  blames 'faulty configuration change' for nearly six-hour outage F. https:\/\/t.ly\/Dy1s."},{"key":"e_1_3_2_2_14_1","first-page":"1","article-title":"Counterfactual reasoning and learning systems: The example of computational advertising","volume":"14","author":"Bottou L.","year":"2013","unstructured":"Bottou , L. , Peters , J. , Qi\u00f1onero-Candela , J. , Charles , D. X. , Chickering , D. M. , Portugaly , E. , Ray , D. , Simard , P. , and Snelson , E . Counterfactual reasoning and learning systems: The example of computational advertising . The Journal of Machine Learning Research 14 , 1 ( 2013 ), 3207--3260. Bottou, L., Peters, J., Qi\u00f1onero-Candela, J., Charles, D. X., Chickering, D. M., Portugaly, E., Ray, D., Simard, P., and Snelson, E. Counterfactual reasoning and learning systems: The example of computational advertising. The Journal of Machine Learning Research 14, 1 (2013), 3207--3260.","journal-title":"The Journal of Machine Learning Research"},{"key":"e_1_3_2_2_15_1","volume-title":"Computer systems: a programmer's perspective","author":"Bryant R. E.","year":"2003","unstructured":"Bryant , R. E. , David Richard , O. , and David Richard , O. Computer systems: a programmer's perspective , vol. 2 . 2003 . Bryant, R. E., David Richard, O., and David Richard, O. Computer systems: a programmer's perspective, vol. 2. 2003."},{"key":"e_1_3_2_2_16_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICSE.2009.5070506"},{"key":"e_1_3_2_2_17_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.195"},{"key":"e_1_3_2_2_18_1","unstructured":"cloud outage was triggered by configuration error A. https:\/\/www.computerworld.com\/article\/2508335\/amazon-cloud-outage-was-triggered-by-configuration-error.html.  cloud outage was triggered by configuration error A. https:\/\/www.computerworld.com\/article\/2508335\/amazon-cloud-outage-was-triggered-by-configuration-error.html."},{"key":"e_1_3_2_2_19_1","first-page":"1","article-title":"Order-independent constraint-based causal structure learning","volume":"15","author":"Colombo D.","year":"2014","unstructured":"Colombo , D. , and Maathuis , M. H . Order-independent constraint-based causal structure learning . The Journal of Machine Learning Research 15 , 1 ( 2014 ), 3741--3782. Colombo, D., and Maathuis, M. H. Order-independent constraint-based causal structure learning. The Journal of Machine Learning Research 15, 1 (2014), 3741--3782.","journal-title":"The Journal of Machine Learning Research"},{"key":"e_1_3_2_2_20_1","first-page":"294","article-title":"Learning high-dimensional directed acyclic graphs with latent and selection variables","author":"Colombo D.","year":"2012","unstructured":"Colombo , D. , Maathuis , M. H. , Kalisch , M. , and Richardson , T. S . Learning high-dimensional directed acyclic graphs with latent and selection variables . The Annals of Statistics ( 2012 ), 294 -- 321 . Colombo, D., Maathuis, M. H., Kalisch, M., and Richardson, T. S. Learning high-dimensional directed acyclic graphs with latent and selection variables. The Annals of Statistics (2012), 294--321.","journal-title":"The Annals of Statistics ("},{"key":"e_1_3_2_2_21_1","doi-asserted-by":"publisher","DOI":"10.1145\/2490301.2451141"},{"key":"e_1_3_2_2_22_1","doi-asserted-by":"publisher","DOI":"10.1145\/2815400.2815409"},{"key":"e_1_3_2_2_23_1","volume-title":"Bert: Pretraining of deep bidirectional transformers for language understanding. arXiv preprint arXiv:1810.04805","author":"Devlin J.","year":"2018","unstructured":"Devlin , J. , Chang , M.-W. , Lee , K. , and Toutanova , K . Bert: Pretraining of deep bidirectional transformers for language understanding. arXiv preprint arXiv:1810.04805 ( 2018 ). Devlin, J., Chang, M.-W., Lee, K., and Toutanova, K. Bert: Pretraining of deep bidirectional transformers for language understanding. arXiv preprint arXiv:1810.04805 (2018)."},{"key":"e_1_3_2_2_24_1","doi-asserted-by":"publisher","DOI":"10.1145\/3468264.3468603"},{"key":"e_1_3_2_2_25_1","doi-asserted-by":"publisher","DOI":"10.1145\/1882291.1882296"},{"key":"e_1_3_2_2_26_1","doi-asserted-by":"publisher","DOI":"10.1109\/TSE.2013.37"},{"key":"e_1_3_2_2_27_1","volume-title":"Causal inference engine: a platform for directional gene set enrichment analysis and inference of active transcriptional regulators. Nucleic acids research 47, 22","author":"Farahmand S.","year":"2019","unstructured":"Farahmand , S. , O'Connor , C. , Macoska , J. A. , and Zarringhalam , K . Causal inference engine: a platform for directional gene set enrichment analysis and inference of active transcriptional regulators. Nucleic acids research 47, 22 ( 2019 ), 11563--11573. Farahmand, S., O'Connor, C., Macoska, J. A., and Zarringhalam, K. Causal inference engine: a platform for directional gene set enrichment analysis and inference of active transcriptional regulators. Nucleic acids research 47, 22 (2019), 11563--11573."},{"key":"e_1_3_2_2_28_1","doi-asserted-by":"publisher","DOI":"10.1145\/3318464.3389694"},{"key":"e_1_3_2_2_29_1","doi-asserted-by":"publisher","DOI":"10.1007\/s11704-017-6512-z"},{"key":"e_1_3_2_2_30_1","doi-asserted-by":"publisher","DOI":"10.1145\/2786805.2786833"},{"key":"e_1_3_2_2_31_1","volume-title":"Causal models for debugging and control in cloud computing. arXiv preprint arXiv 1603","author":"Geiger P.","year":"2016","unstructured":"Geiger , P. , Carata , L. , and Sch\u00f6lkopf , B . Causal models for debugging and control in cloud computing. arXiv preprint arXiv 1603 ( 2016 ). Geiger, P., Carata, L., and Sch\u00f6lkopf, B. Causal models for debugging and control in cloud computing. arXiv preprint arXiv 1603 (2016)."},{"key":"e_1_3_2_2_32_1","volume-title":"Review of causal discovery methods based on graphical models. Frontiers in genetics 10","author":"Glymour C.","year":"2019","unstructured":"Glymour , C. , Zhang , K. , and Spirtes , P . Review of causal discovery methods based on graphical models. Frontiers in genetics 10 ( 2019 ), 524. Glymour, C., Zhang, K., and Spirtes, P. Review of causal discovery methods based on graphical models. Frontiers in genetics 10 (2019), 524."},{"key":"e_1_3_2_2_33_1","volume-title":"Predicting performance of software configurations: There is no silver bullet. arXiv preprint arXiv:1911.12643","author":"Grebhahn A.","year":"2019","unstructured":"Grebhahn , A. , Siegmund , N. , and Apel , S . Predicting performance of software configurations: There is no silver bullet. arXiv preprint arXiv:1911.12643 ( 2019 ). Grebhahn, A., Siegmund, N., and Apel, S. Predicting performance of software configurations: There is no silver bullet. arXiv preprint arXiv:1911.12643 (2019)."},{"key":"e_1_3_2_2_34_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-40528-5_4"},{"key":"e_1_3_2_2_35_1","doi-asserted-by":"publisher","DOI":"10.1145\/3242086"},{"key":"e_1_3_2_2_36_1","doi-asserted-by":"publisher","DOI":"10.1109\/ASE.2013.6693089"},{"key":"e_1_3_2_2_37_1","volume-title":"NVIDIA jetson platform characterization. Lect. Notes Comput. Sci. (including Subser. Lect. Notes Artif. Intell. Lect. Notes Bioinformatics) 10417 LNCS","author":"Halawa H.","year":"2017","unstructured":"Halawa , H. , Abdelhafez , H. A. , Boktor , A. , and Ripeanu , M . NVIDIA jetson platform characterization. Lect. Notes Comput. Sci. (including Subser. Lect. Notes Artif. Intell. Lect. Notes Bioinformatics) 10417 LNCS ( 2017 ), 92--105. Halawa, H., Abdelhafez, H. A., Boktor, A., and Ripeanu, M. NVIDIA jetson platform characterization. Lect. Notes Comput. Sci. (including Subser. Lect. Notes Artif. Intell. Lect. Notes Bioinformatics) 10417 LNCS (2017), 92--105."},{"key":"e_1_3_2_2_38_1","doi-asserted-by":"publisher","DOI":"10.1007\/s10664-018-9635-4"},{"key":"e_1_3_2_2_39_1","doi-asserted-by":"publisher","DOI":"10.1145\/2961111.2962602"},{"key":"e_1_3_2_2_40_1","doi-asserted-by":"publisher","DOI":"10.1145\/3238147.3238204"},{"key":"e_1_3_2_2_41_1","volume-title":"Deep speech: Scaling up end-to-end speech recognition. arXiv preprint arXiv:1412.5567","author":"Hannun A.","year":"2014","unstructured":"Hannun , A. , Case , C. , Casper , J. , Catanzaro , B. , Diamos , G. , Elsen , E. , Prenger , R. , Satheesh , S. , Sengupta , S. , Coates , A. , Deep speech: Scaling up end-to-end speech recognition. arXiv preprint arXiv:1412.5567 ( 2014 ). Hannun, A., Case, C., Casper, J., Catanzaro, B., Diamos, G., Elsen, E., Prenger, R., Satheesh, S., Sengupta, S., Coates, A., et al. Deep speech: Scaling up end-to-end speech recognition. arXiv preprint arXiv:1412.5567 (2014)."},{"key":"e_1_3_2_2_42_1","doi-asserted-by":"publisher","DOI":"10.5555\/2818754.2818819"},{"key":"e_1_3_2_2_43_1","first-page":"1492","volume-title":"International Conference on Machine Learning","author":"Hern\u00e1ndez-Lobato D.","year":"2016","unstructured":"Hern\u00e1ndez-Lobato , D. , Hernandez-Lobato , J. , Shah , A. , and Adams , R . Predictive entropy search for multi-objective bayesian optimization . In International Conference on Machine Learning ( 2016 ), pp. 1492 -- 1501 . Hern\u00e1ndez-Lobato, D., Hernandez-Lobato, J., Shah, A., and Adams, R. Predictive entropy search for multi-objective bayesian optimization. In International Conference on Machine Learning (2016), pp. 1492--1501."},{"key":"e_1_3_2_2_44_1","doi-asserted-by":"publisher","DOI":"10.1145\/1950365.1950390"},{"key":"e_1_3_2_2_45_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-642-21434-9_3"},{"key":"e_1_3_2_2_46_1","doi-asserted-by":"publisher","DOI":"10.1145\/2076450.2076469"},{"key":"e_1_3_2_2_47_1","first-page":"719","volume-title":"14th {USENIX} Symposium on Operating Systems Design and Implementation ({OSDI} 20)","author":"Hu Y.","year":"2020","unstructured":"Hu , Y. , Huang , G. , and Huang , P . Automated reasoning and detection of specious configuration in large systems with symbolic execution . In 14th {USENIX} Symposium on Operating Systems Design and Implementation ({OSDI} 20) ( 2020 ), pp. 719 -- 734 . Hu, Y., Huang, G., and Huang, P. Automated reasoning and detection of specious configuration in large systems with symbolic execution. In 14th {USENIX} Symposium on Operating Systems Design and Implementation ({OSDI} 20) (2020), pp. 719--734."},{"key":"e_1_3_2_2_48_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-642-25566-3_40"},{"key":"e_1_3_2_2_49_1","volume-title":"Transfer Learning for Performance Modeling of Deep Neural Network Systems. In USENIX Conference on Operational Machine Learning","author":"Iqbal M. S.","year":"2019","unstructured":"Iqbal , M. S. , Kotthoff , L. , and Jamshidi , P . Transfer Learning for Performance Modeling of Deep Neural Network Systems. In USENIX Conference on Operational Machine Learning ( Santa Clara, CA , 2019 ), USENIX Association. Iqbal, M. S., Kotthoff, L., and Jamshidi, P. Transfer Learning for Performance Modeling of Deep Neural Network Systems. In USENIX Conference on Operational Machine Learning (Santa Clara, CA, 2019), USENIX Association."},{"key":"e_1_3_2_2_50_1","volume-title":"Flexibo: Cost-aware multi-objective optimization of deep neural networks. arXiv preprint arXiv:2001.06588","author":"Iqbal M. S.","year":"2020","unstructured":"Iqbal , M. S. , Su , J. , Kotthoff , L. , and Jamshidi , P . Flexibo: Cost-aware multi-objective optimization of deep neural networks. arXiv preprint arXiv:2001.06588 ( 2020 ). Iqbal, M. S., Su, J., Kotthoff, L., and Jamshidi, P. Flexibo: Cost-aware multi-objective optimization of deep neural networks. arXiv preprint arXiv:2001.06588 (2020)."},{"key":"e_1_3_2_2_51_1","doi-asserted-by":"publisher","DOI":"10.1109\/MASCOTS.2016.17"},{"key":"e_1_3_2_2_52_1","doi-asserted-by":"publisher","DOI":"10.1109\/MASCOTS.2016.17"},{"key":"e_1_3_2_2_53_1","doi-asserted-by":"publisher","DOI":"10.1109\/CSMR.2013.39"},{"key":"e_1_3_2_2_54_1","doi-asserted-by":"publisher","DOI":"10.1109\/ASE.2017.8115661"},{"key":"e_1_3_2_2_55_1","doi-asserted-by":"publisher","DOI":"10.1145\/3236024.3236074"},{"key":"e_1_3_2_2_56_1","doi-asserted-by":"publisher","DOI":"10.1109\/SEAMS.2017.11"},{"key":"e_1_3_2_2_57_1","volume-title":"Transfer learning for performance modeling of configurable systems: A causal analysis. arXiv preprint arXiv:1902.10119","author":"Javidian M. A.","year":"2019","unstructured":"Javidian , M. A. , Jamshidi , P. , and Valtorta , M . Transfer learning for performance modeling of configurable systems: A causal analysis. arXiv preprint arXiv:1902.10119 ( 2019 ). Javidian, M. A., Jamshidi, P., and Valtorta, M. Transfer learning for performance modeling of configurable systems: A causal analysis. arXiv preprint arXiv:1902.10119 (2019)."},{"key":"e_1_3_2_2_58_1","doi-asserted-by":"publisher","DOI":"10.1145\/3377811.3380377"},{"key":"e_1_3_2_2_59_1","doi-asserted-by":"publisher","DOI":"10.1109\/MS.2020.2987024"},{"key":"e_1_3_2_2_60_1","volume-title":"Proceedings of the IJCAI Workshop on Autonomous Mobile Service Robots (WSR) (7","author":"Kawthekar P.","year":"2016","unstructured":"Kawthekar , P. , and K\u00e4stner , C . Sensitivity analysis for building evolving and & adaptive robotic software . In Proceedings of the IJCAI Workshop on Autonomous Mobile Service Robots (WSR) (7 2016 ). Kawthekar, P., and K\u00e4stner, C. Sensitivity analysis for building evolving and & adaptive robotic software. In Proceedings of the IJCAI Workshop on Autonomous Mobile Service Robots (WSR) (7 2016)."},{"key":"e_1_3_2_2_61_1","volume-title":"Designing data-intensive applications: The big ideas behind reliable, scalable, and maintainable systems. \" O'Reilly Media","author":"Kleppmann M.","year":"2017","unstructured":"Kleppmann , M. Designing data-intensive applications: The big ideas behind reliable, scalable, and maintainable systems. \" O'Reilly Media , Inc .\", 2017 . Kleppmann, M. Designing data-intensive applications: The big ideas behind reliable, scalable, and maintainable systems. \" O'Reilly Media, Inc.\", 2017."},{"key":"e_1_3_2_2_62_1","doi-asserted-by":"publisher","DOI":"10.5555\/3298239.3298409"},{"key":"e_1_3_2_2_63_1","unstructured":"Kocaoglu M. Shakkottai S. Dimakis A. Caramanis C. and Vishwanath S. Applications of Common Entropy for Causal Inference.  Kocaoglu M. Shakkottai S. Dimakis A. Caramanis C. and Vishwanath S. Applications of Common Entropy for Causal Inference."},{"key":"e_1_3_2_2_64_1","doi-asserted-by":"publisher","DOI":"10.1007\/s10270-018-0662-9"},{"key":"e_1_3_2_2_65_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.infsof.2017.03.012"},{"key":"e_1_3_2_2_66_1","doi-asserted-by":"publisher","DOI":"10.1145\/3342195.3387520"},{"key":"e_1_3_2_2_67_1","doi-asserted-by":"publisher","DOI":"10.1145\/3318464.3384692"},{"key":"e_1_3_2_2_68_1","doi-asserted-by":"publisher","DOI":"10.1145\/2838344.2839461"},{"key":"e_1_3_2_2_69_1","volume-title":"17th {USENIX} Symposium on Networked Systems Design and Implementation","author":"Mehta S.","year":"2020","unstructured":"Mehta , S. , Bhagwan , R. , Kumar , R. , Bansal , C. , Maddila , C. , Ashok , B. , Asthana , S. , Bird , C. , and Kumar , A . Rex: Preventing bugs and misconfiguration in large services using correlated change analysis . In 17th {USENIX} Symposium on Networked Systems Design and Implementation ( 2020 ). Mehta, S., Bhagwan, R., Kumar, R., Bansal, C., Maddila, C., Ashok, B., Asthana, S., Bird, C., and Kumar, A. Rex: Preventing bugs and misconfiguration in large services using correlated change analysis. In 17th {USENIX} Symposium on Networked Systems Design and Implementation (2020)."},{"key":"e_1_3_2_2_70_1","volume-title":"The art of application performance testing: Help for programmers and quality assurance.[sl]:\" o'reilly media","author":"Molyneaux I.","year":"2009","unstructured":"Molyneaux , I. The art of application performance testing: Help for programmers and quality assurance.[sl]:\" o'reilly media , 2009 . Molyneaux, I. The art of application performance testing: Help for programmers and quality assurance.[sl]:\" o'reilly media, 2009."},{"key":"e_1_3_2_2_71_1","doi-asserted-by":"publisher","DOI":"10.1109\/ASE.2019.00065"},{"key":"e_1_3_2_2_72_1","doi-asserted-by":"publisher","DOI":"10.1145\/2491627.2491647"},{"key":"e_1_3_2_2_73_1","volume-title":"Faster discovery of faster system configurations with spectral learning. arXiv:1701.08106","author":"Nair V.","year":"2017","unstructured":"Nair , V. , Menzies , T. , Siegmund , N. , and Apel , S . Faster discovery of faster system configurations with spectral learning. arXiv:1701.08106 ( 2017 ). Nair, V., Menzies, T., Siegmund, N., and Apel, S. Faster discovery of faster system configurations with spectral learning. arXiv:1701.08106 (2017)."},{"key":"e_1_3_2_2_74_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICSE.2015.100"},{"key":"e_1_3_2_2_75_1","doi-asserted-by":"publisher","DOI":"10.5555\/2487085.2487134"},{"key":"e_1_3_2_2_76_1","first-page":"1061","volume-title":"Advances in neural information processing systems","author":"Norouzi M.","year":"2012","unstructured":"Norouzi , M. , Fleet , D. J. , and Salakhutdinov , R. R . Hamming distance metric learning . In Advances in neural information processing systems ( 2012 ), pp. 1061 -- 1069 . Norouzi, M., Fleet, D. J., and Salakhutdinov, R. R. Hamming distance metric learning. In Advances in neural information processing systems (2012), pp. 1061--1069."},{"key":"e_1_3_2_2_77_1","first-page":"368","volume-title":"Conference on Probabilistic Graphical Models","author":"Ogarrio J. M.","year":"2016","unstructured":"Ogarrio , J. M. , Spirtes , P. , and Ramsey , J . A hybrid causal search algorithm for latent variable models . In Conference on Probabilistic Graphical Models ( 2016 ), pp. 368 -- 379 . Ogarrio, J. M., Spirtes, P., and Ramsey, J. A hybrid causal search algorithm for latent variable models. In Conference on Probabilistic Graphical Models (2016), pp. 368--379."},{"key":"e_1_3_2_2_78_1","doi-asserted-by":"publisher","DOI":"10.1145\/2648511.2648521"},{"key":"e_1_3_2_2_79_1","volume-title":"Graphical models for probabilistic and causal reasoning. Quantified representation of uncertainty and imprecision","author":"Pearl J.","year":"1998","unstructured":"Pearl , J. Graphical models for probabilistic and causal reasoning. Quantified representation of uncertainty and imprecision ( 1998 ), 367--389. Pearl, J. Graphical models for probabilistic and causal reasoning. Quantified representation of uncertainty and imprecision (1998), 367--389."},{"key":"e_1_3_2_2_80_1","volume-title":"Cambridge university press","author":"Pearl J.","year":"2009","unstructured":"Pearl , J. Causality . Cambridge university press , 2009 . Pearl, J. Causality. Cambridge university press, 2009."},{"key":"e_1_3_2_2_81_1","volume-title":"The book of why: the new science of cause and effect","author":"Pearl J.","year":"2018","unstructured":"Pearl , J. , and Mackenzie , D . The book of why: the new science of cause and effect . Basic Books , 2018 . Pearl, J., and Mackenzie, D. The book of why: the new science of cause and effect. Basic Books, 2018."},{"key":"e_1_3_2_2_82_1","volume-title":"Learning software configuration spaces: A systematic literature review. arXiv preprint arXiv:1906.03018","author":"Pereira J. A.","year":"2019","unstructured":"Pereira , J. A. , Martin , H. , Acher , M. , J\u00e9z\u00e9qel , J.-M. , Botterweck , G. , and Ventresqe , A . Learning software configuration spaces: A systematic literature review. arXiv preprint arXiv:1906.03018 ( 2019 ). Pereira, J. A., Martin, H., Acher, M., J\u00e9z\u00e9qel, J.-M., Botterweck, G., and Ventresqe, A. Learning software configuration spaces: A systematic literature review. arXiv preprint arXiv:1906.03018 (2019)."},{"key":"e_1_3_2_2_83_1","doi-asserted-by":"publisher","DOI":"10.1109\/CCEM.2016.019"},{"key":"e_1_3_2_2_84_1","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2020.3000928"},{"key":"e_1_3_2_2_85_1","volume-title":"Learning neural causal models with active interventions. arXiv preprint arXiv:2109.02429","author":"Scherrer N.","year":"2021","unstructured":"Scherrer , N. , Bilaniuk , O. , Annadani , Y. , Goyal , A. , Schwab , P. , Sch\u00f6lkopf , B. , Mozer , M. C. , Bengio , Y. , Bauer , S. , and Ke , N. R . Learning neural causal models with active interventions. arXiv preprint arXiv:2109.02429 ( 2021 ). Scherrer, N., Bilaniuk, O., Annadani, Y., Goyal, A., Schwab, P., Sch\u00f6lkopf, B., Mozer, M. C., Bengio, Y., Bauer, S., and Ke, N. R. Learning neural causal models with active interventions. arXiv preprint arXiv:2109.02429 (2021)."},{"key":"e_1_3_2_2_86_1","doi-asserted-by":"publisher","DOI":"10.1109\/JPROC.2021.3058954"},{"key":"e_1_3_2_2_87_1","doi-asserted-by":"publisher","DOI":"10.1145\/2786805.2786845"},{"key":"e_1_3_2_2_88_1","doi-asserted-by":"publisher","DOI":"10.1145\/2786805.2786845"},{"key":"e_1_3_2_2_89_1","doi-asserted-by":"publisher","DOI":"10.1145\/3368089.3409675"},{"key":"e_1_3_2_2_90_1","doi-asserted-by":"publisher","DOI":"10.1145\/2714064.2660234"},{"key":"e_1_3_2_2_91_1","volume-title":"Causation, prediction, and search","author":"Spirtes P.","year":"2000","unstructured":"Spirtes , P. , Glymour , C. N. , Scheines , R. , and Heckerman , D . Causation, prediction, and search . MIT press , 2000 . Spirtes, P., Glymour, C. N., Scheines, R., and Heckerman, D. Causation, prediction, and search. MIT press, 2000."},{"key":"e_1_3_2_2_92_1","doi-asserted-by":"crossref","first-page":"205","DOI":"10.1007\/978-3-642-34413-8_15","volume-title":"Learning and Intelligent Optimization","author":"Styles J.","year":"2012","unstructured":"Styles , J. , Hoos , H. H. , and M\u00fcller , M . Automatically configuring algorithms for scaling performance . In Learning and Intelligent Optimization . Springer , 2012 , pp. 205 -- 219 . Styles, J., Hoos, H. H., and M\u00fcller, M. Automatically configuring algorithms for scaling performance. In Learning and Intelligent Optimization. Springer, 2012, pp. 205--219."},{"key":"e_1_3_2_2_93_1","doi-asserted-by":"publisher","DOI":"10.1145\/2815400.2815401"},{"key":"e_1_3_2_2_94_1","doi-asserted-by":"publisher","DOI":"10.1109\/ISSREW.2016.43"},{"key":"e_1_3_2_2_95_1","doi-asserted-by":"publisher","DOI":"10.1145\/3030207.3030216"},{"key":"e_1_3_2_2_96_1","doi-asserted-by":"publisher","DOI":"10.1007\/s10515-020-00273-8"},{"key":"e_1_3_2_2_97_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICSE43902.2021.00100"},{"key":"e_1_3_2_2_98_1","doi-asserted-by":"publisher","DOI":"10.1145\/3510003.3510043"},{"key":"e_1_3_2_2_99_1","doi-asserted-by":"publisher","DOI":"10.1145\/3296957.3173206"},{"key":"e_1_3_2_2_100_1","first-page":"6","volume-title":"OSDI","volume":"4","author":"Whitaker A.","year":"2004","unstructured":"Whitaker , A. , Cox , R. S. , Gribble , S. D. , Configuration debugging as search: Finding the needle in the haystack . In OSDI ( 2004 ), vol. 4 , pp. 6 -- 6 . Whitaker, A., Cox, R. S., Gribble, S. D., et al. Configuration debugging as search: Finding the needle in the haystack. In OSDI (2004), vol. 4, pp. 6--6."},{"key":"e_1_3_2_2_101_1","doi-asserted-by":"publisher","DOI":"10.1145\/2739480.2754648"},{"key":"e_1_3_2_2_102_1","unstructured":"Xia K. Lee K.-Z. Bengio Y. and Bareinboim E. The causal-neural connection: Expressiveness learnability and inference.  Xia K. Lee K.-Z. Bengio Y. and Bareinboim E. The causal-neural connection: Expressiveness learnability and inference."},{"key":"e_1_3_2_2_103_1","first-page":"619","volume-title":"Early detection of configuration errors to reduce failure damage","author":"Xu T.","unstructured":"Xu , T. , Jin , X. , Huang , P. , Zhou , Y. , Lu , S. , Jin , L. , and Pasupathy , S . Early detection of configuration errors to reduce failure damage . USENIX Association , pp. 619 -- 634 . Xu, T., Jin, X., Huang, P., Zhou, Y., Lu, S., Jin, L., and Pasupathy, S. Early detection of configuration errors to reduce failure damage. USENIX Association, pp. 619--634."},{"key":"e_1_3_2_2_104_1","doi-asserted-by":"publisher","DOI":"10.1145\/2541940.2541983"},{"key":"e_1_3_2_2_105_1","doi-asserted-by":"publisher","DOI":"10.5555\/2486788.2486830"},{"key":"e_1_3_2_2_106_1","volume-title":"Proceedings of International Conference on Software Engineering","author":"Zhang Y.","year":"2021","unstructured":"Zhang , Y. , He , H. , Legunsen , O. , Li , S. , Dong , W. , and Xu , T . An evolutionary study of configuration design and implementation in cloud systems . In Proceedings of International Conference on Software Engineering ( 2021 ), ICSE'21. Zhang, Y., He, H., Legunsen, O., Li, S., Dong, W., and Xu, T. An evolutionary study of configuration design and implementation in cloud systems. In Proceedings of International Conference on Software Engineering (2021), ICSE'21."},{"key":"e_1_3_2_2_107_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-540-70928-2_64"}],"event":{"name":"EuroSys '22: Seventeenth European Conference on Computer Systems","location":"Rennes France","acronym":"EuroSys '22","sponsor":["SIGOPS ACM Special Interest Group on Operating Systems"]},"container-title":["Proceedings of the Seventeenth European Conference on Computer Systems"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3492321.3519575","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3492321.3519575","content-type":"application\/pdf","content-version":"vor","intended-application":"syndication"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3492321.3519575","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,17]],"date-time":"2025-06-17T19:31:08Z","timestamp":1750188668000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3492321.3519575"}},"subtitle":["reasoning about configurable system performance through the lens of causality"],"short-title":[],"issued":{"date-parts":[[2022,3,28]]},"references-count":107,"alternative-id":["10.1145\/3492321.3519575","10.1145\/3492321"],"URL":"https:\/\/doi.org\/10.1145\/3492321.3519575","relation":{},"subject":[],"published":{"date-parts":[[2022,3,28]]},"assertion":[{"value":"2022-03-28","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}