{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,6]],"date-time":"2026-06-06T01:07:25Z","timestamp":1780708045107,"version":"3.54.1"},"publisher-location":"New York, NY, USA","reference-count":37,"publisher":"ACM","license":[{"start":{"date-parts":[[2021,8,24]],"date-time":"2021-08-24T00:00:00Z","timestamp":1629763200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by-nc-sa\/4.0\/"}],"funder":[{"DOI":"10.13039\/100010663","name":"H2020 European Research Council","doi-asserted-by":"publisher","award":["871793"],"award-info":[{"award-number":["871793"]}],"id":[{"id":"10.13039\/100010663","id-type":"DOI","asserted-by":"publisher"}]},{"name":"EPSRC","award":["EP\/R004935\/1"],"award-info":[{"award-number":["EP\/R004935\/1"]}]},{"name":"EU H2020","award":["825377"],"award-info":[{"award-number":["825377"]}]}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2021,8,24]]},"DOI":"10.1145\/3476886.3477506","type":"proceedings-article","created":{"date-parts":[[2021,8,19]],"date-time":"2021-08-19T02:24:20Z","timestamp":1629339860000},"page":"115-122","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":3,"title":["Wayfinder"],"prefix":"10.1145","author":[{"given":"Alexander","family":"Jung","sequence":"first","affiliation":[{"name":"Lancaster University"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Hugo","family":"Lefeuvre","sequence":"additional","affiliation":[{"name":"The University of Manchester"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Charalampos","family":"Rotsos","sequence":"additional","affiliation":[{"name":"Lancaster University"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Pierre","family":"Olivier","sequence":"additional","affiliation":[{"name":"The University of Manchester"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Daniel","family":"O\u00f1oro-Rubio","sequence":"additional","affiliation":[{"name":"NEC Laboratories Europe GmbH"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Felipe","family":"Huici","sequence":"additional","affiliation":[{"name":"NEC Laboratories Europe GmbH"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Mathias","family":"Niepert","sequence":"additional","affiliation":[{"name":"NEC Laboratories Europe GmbH"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"320","published-online":{"date-parts":[[2021,8,24]]},"reference":[{"key":"e_1_3_2_1_1_1","volume-title":"Proceedings of the 17th USENIX Symposium on Networked Systems Design and Implementation. USENIX Association, 419&ndash;434","author":"Agache Alexandru","year":"2020","unstructured":"Alexandru Agache , Marc Brooker , Alexandra Iordache , Anthony Liguori , Rolf Neugebauer , Phil Piwonka , and Diana-Maria Popa . 2020 . Firecracker: Lightweight Virtualization for Serverless Applications . In Proceedings of the 17th USENIX Symposium on Networked Systems Design and Implementation. USENIX Association, 419&ndash;434 . Alexandru Agache, Marc Brooker, Alexandra Iordache, Anthony Liguori, Rolf Neugebauer, Phil Piwonka, and Diana-Maria Popa. 2020. Firecracker: Lightweight Virtualization for Serverless Applications. In Proceedings of the 17th USENIX Symposium on Networked Systems Design and Implementation. USENIX Association, 419&ndash;434."},{"key":"e_1_3_2_1_2_1","volume-title":"Wasserstein Generative Adversarial Networks. In International Conference on Machine Learning.","author":"Arjovsky Martin","year":"2017","unstructured":"Martin Arjovsky , Soumith Chintala , and L'eon Bottou . 2017 . Wasserstein Generative Adversarial Networks. In International Conference on Machine Learning. Martin Arjovsky, Soumith Chintala, and L'eon Bottou. 2017. Wasserstein Generative Adversarial Networks. In International Conference on Machine Learning."},{"key":"e_1_3_2_1_3_1","unstructured":"Abhishek Dubey. 2019. Redis Best Practices and Performance Tuning. https:\/\/bit.ly\/3hMqMvu.  Abhishek Dubey. 2019. Redis Best Practices and Performance Tuning. https:\/\/bit.ly\/3hMqMvu."},{"key":"e_1_3_2_1_4_1","first-page":"77","article-title":"Design and Implementation of the &lt;scp&gt;lw&lt;\/scp&gt;IP TCP\/IP Stack","volume":"2","author":"Dunkels Adam","year":"2001","unstructured":"Adam Dunkels . 2001 . Design and Implementation of the &lt;scp&gt;lw&lt;\/scp&gt;IP TCP\/IP Stack . Swedish Institute of Computer Science 2 (2001), 77 . Adam Dunkels. 2001. Design and Implementation of the &lt;scp&gt;lw&lt;\/scp&gt;IP TCP\/IP Stack. Swedish Institute of Computer Science 2 (2001), 77.","journal-title":"Swedish Institute of Computer Science"},{"key":"e_1_3_2_1_5_1","doi-asserted-by":"publisher","DOI":"10.1145\/224057.224076"},{"key":"e_1_3_2_1_6_1","volume-title":"International Conference on International Conference on Machine Learning.","author":"Ganin Yaroslav","year":"2015","unstructured":"Yaroslav Ganin and Victor Lempitsky . 2015 . Unsupervised Domain Adaptation by Backpropagation . In International Conference on International Conference on Machine Learning. Yaroslav Ganin and Victor Lempitsky. 2015. Unsupervised Domain Adaptation by Backpropagation. In International Conference on International Conference on Machine Learning."},{"key":"e_1_3_2_1_7_1","volume-title":"Rich Feature Hierarchies for Accurate Object Detection and Semantic Segmentation. In Conference on Computer Vision and Pattern Recognition.","author":"Girshick Ross","year":"2014","unstructured":"Ross Girshick , Jeff Donahue , Trevor Darrell , and Jitendra Malik . 2014 . Rich Feature Hierarchies for Accurate Object Detection and Semantic Segmentation. In Conference on Computer Vision and Pattern Recognition. Ross Girshick, Jeff Donahue, Trevor Darrell, and Jitendra Malik. 2014. Rich Feature Hierarchies for Accurate Object Detection and Semantic Segmentation. In Conference on Computer Vision and Pattern Recognition."},{"key":"e_1_3_2_1_8_1","unstructured":"Ian Goodfellow Jean Pouget-Abadie Mehdi Mirza Bing Xu David Warde-Farley Sherjil Ozair Aaron Courville and Yoshua Bengio. 2014. Generative Adversarial Nets. In Advances in Neural Information Processing Systems.  Ian Goodfellow Jean Pouget-Abadie Mehdi Mirza Bing Xu David Warde-Farley Sherjil Ozair Aaron Courville and Yoshua Bengio. 2014. Generative Adversarial Nets. In Advances in Neural Information Processing Systems ."},{"key":"e_1_3_2_1_9_1","doi-asserted-by":"publisher","DOI":"10.1109\/HPCA.2016.7446102"},{"key":"e_1_3_2_1_10_1","volume-title":"Khawar Munir.","author":"Cornu Andrew","year":"2019","unstructured":"Herdrich, Andrew J. and Cornu , Marcel David and Abbasi , Khawar Munir. 2019 . Introduction to Memory Bandwidth Allocation . https:\/\/software.intel.com\/content\/www\/us\/en\/develop\/articles\/introduction-to-memory-bandwidth-allocation.html Herdrich, Andrew J. and Cornu, Marcel David and Abbasi, Khawar Munir. 2019. Introduction to Memory Bandwidth Allocation. https:\/\/software.intel.com\/content\/www\/us\/en\/develop\/articles\/introduction-to-memory-bandwidth-allocation.html"},{"key":"e_1_3_2_1_11_1","volume-title":"Proceedings of the 14th USENIX Symposium on Operating Systems Design and Implementation (OSDI'20)","author":"Hu Yigong","year":"2020","unstructured":"Yigong Hu , Gongqi Huang , and Peng Huang . 2020 . Automated Reasoning and Detection of Specious Configuration in Large Systems with Symbolic Execution . In Proceedings of the 14th USENIX Symposium on Operating Systems Design and Implementation (OSDI'20) . USENIX Association, 719&ndash;734. https:\/\/www.usenix.org\/conference\/osdi20\/presentation\/hu Yigong Hu, Gongqi Huang, and Peng Huang. 2020. Automated Reasoning and Detection of Specious Configuration in Large Systems with Symbolic Execution. In Proceedings of the 14th USENIX Symposium on Operating Systems Design and Implementation (OSDI'20). USENIX Association, 719&ndash;734. https:\/\/www.usenix.org\/conference\/osdi20\/presentation\/hu"},{"key":"e_1_3_2_1_12_1","volume-title":"Proceedings International Conference on Learning Representations.","author":"Jang Eric","year":"2017","unstructured":"Eric Jang , Shixiang Gu , and Ben Poole . 2017 . Categorical Reparametrization with Gumbel-Softmax . In Proceedings International Conference on Learning Representations. Eric Jang, Shixiang Gu, and Ben Poole. 2017. Categorical Reparametrization with Gumbel-Softmax. In Proceedings International Conference on Learning Representations."},{"key":"e_1_3_2_1_13_1","volume-title":"Auto-Encoding Variational Bayes. In International Conference on Learning Representations.","author":"Diederik","unstructured":"Diederik P. Kingma and Max Welling. 2014 . Auto-Encoding Variational Bayes. In International Conference on Learning Representations. Diederik P. Kingma and Max Welling. 2014. Auto-Encoding Variational Bayes. In International Conference on Learning Representations."},{"key":"e_1_3_2_1_14_1","volume-title":"Proceedings of the 22nd USENIX Annual Technical Conference (USENIX ATC14)","author":"Kivity Avi","year":"2014","unstructured":"Avi Kivity , Dor Laor , Glauber Costa , Pekka Enberg , Nadav Har'El , Don Marti , and Vlad Zolotarov . 2014 . OSv: Optimizing the Operating System for Virtual Machines . In Proceedings of the 22nd USENIX Annual Technical Conference (USENIX ATC14) . USENIX, 61&ndash;72. http:\/\/dl.acm.org\/citation.cfm?id=2643634.2643642 Avi Kivity, Dor Laor, Glauber Costa, Pekka Enberg, Nadav Har'El, Don Marti, and Vlad Zolotarov. 2014. OSv: Optimizing the Operating System for Virtual Machines. In Proceedings of the 22nd USENIX Annual Technical Conference (USENIX ATC14). USENIX, 61&ndash;72. http:\/\/dl.acm.org\/citation.cfm?id=2643634.2643642"},{"key":"e_1_3_2_1_15_1","doi-asserted-by":"publisher","DOI":"10.1145\/3447786.3456248"},{"key":"e_1_3_2_1_16_1","doi-asserted-by":"publisher","DOI":"10.1145\/3319647.3325856"},{"key":"e_1_3_2_1_17_1","doi-asserted-by":"publisher","DOI":"10.1145\/3342195.3387526"},{"key":"e_1_3_2_1_18_1","doi-asserted-by":"publisher","DOI":"10.1145\/2931088.2931093"},{"key":"e_1_3_2_1_19_1","doi-asserted-by":"publisher","DOI":"10.1145\/3342195.3387520"},{"key":"e_1_3_2_1_20_1","doi-asserted-by":"publisher","DOI":"10.1109\/MASCOTS.2016.31"},{"key":"e_1_3_2_1_21_1","volume-title":"Playing Atari with Deep Reinforcement Learning. In NIPS Deep Learning Workshop.","author":"Mnih Volodymyr","year":"2013","unstructured":"Volodymyr Mnih , Koray Kavukcuoglu , David Silver , Alex Graves , Ioannis Antonoglou , Daan Wierstra , and Martin Riedmiller . 2013 . Playing Atari with Deep Reinforcement Learning. In NIPS Deep Learning Workshop. Volodymyr Mnih, Koray Kavukcuoglu, David Silver, Alex Graves, Ioannis Antonoglou, Daan Wierstra, and Martin Riedmiller. 2013. Playing Atari with Deep Reinforcement Learning. In NIPS Deep Learning Workshop."},{"key":"e_1_3_2_1_22_1","unstructured":"MYSQL. 2021. MySQL Performance Tuning and Optimization Resources. https:\/\/www.mysql.com\/why-mysql\/performance\/.  MYSQL. 2021. MySQL Performance Tuning and Optimization Resources. https:\/\/www.mysql.com\/why-mysql\/performance\/."},{"key":"e_1_3_2_1_23_1","unstructured":"Rick Nelson. 2014. Tuning NGINX for Performance. https:\/\/www.nginx.com\/blog\/tuning-nginx\/.  Rick Nelson. 2014. Tuning NGINX for Performance. https:\/\/www.nginx.com\/blog\/tuning-nginx\/."},{"key":"e_1_3_2_1_24_1","doi-asserted-by":"publisher","DOI":"10.1145\/3313808.3313817"},{"key":"e_1_3_2_1_25_1","unstructured":"Open Container Initiative. 2021. The runC CLI tool for spawning and running containers. https:\/\/github.com\/opencontainers\/runc  Open Container Initiative. 2021. The runC CLI tool for spawning and running containers . https:\/\/github.com\/opencontainers\/runc"},{"key":"e_1_3_2_1_26_1","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2009.191"},{"key":"e_1_3_2_1_27_1","doi-asserted-by":"publisher","DOI":"10.1145\/2939672.2939778"},{"key":"e_1_3_2_1_28_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.74"},{"key":"e_1_3_2_1_29_1","volume-title":"USENIX Annual Technical Conference. 241&ndash;254","author":"Shivam Piyush","year":"2008","unstructured":"Piyush Shivam , Varun Marupadi , Jeffrey S Chase , Thileepan Subramaniam , and Shivnath Babu . 2008 . Cutting Corners: Workbench Automation for Server Benchmarking .. In USENIX Annual Technical Conference. 241&ndash;254 . Piyush Shivam, Varun Marupadi, Jeffrey S Chase, Thileepan Subramaniam, and Shivnath Babu. 2008. Cutting Corners: Workbench Automation for Server Benchmarking.. In USENIX Annual Technical Conference. 241&ndash;254."},{"key":"e_1_3_2_1_30_1","unstructured":"Mark Silberstein. 2017. Leave your OS at home: the rise of library operating systems. https:\/\/www.sigarch.org\/leave-your-os-at-home-the-rise-of-library-operating-systems\/.  Mark Silberstein. 2017. Leave your OS at home: the rise of library operating systems. https:\/\/www.sigarch.org\/leave-your-os-at-home-the-rise-of-library-operating-systems\/."},{"key":"e_1_3_2_1_31_1","volume-title":"Deep Inside Convolutional Networks: Visualising Image Classification Models and Saliency Maps. CoRR","author":"Simonyan Karen","year":"2013","unstructured":"Karen Simonyan , Andrea Vedaldi , and Andrew Zisserman . 2013. Deep Inside Convolutional Networks: Visualising Image Classification Models and Saliency Maps. CoRR ( 2013 ). Karen Simonyan, Andrea Vedaldi, and Andrew Zisserman. 2013. Deep Inside Convolutional Networks: Visualising Image Classification Models and Saliency Maps. CoRR (2013)."},{"key":"e_1_3_2_1_32_1","unstructured":"Solo5. 2021. The Solo5 sandboxed execution environment for unikernels. https:\/\/github.com\/Solo5\/solo5  Solo5. 2021. The Solo5 sandboxed execution environment for unikernels . https:\/\/github.com\/Solo5\/solo5"},{"key":"e_1_3_2_1_33_1","volume-title":"Barto","author":"Sutton Richard S.","year":"2018","unstructured":"Richard S. Sutton and Andrew G . Barto . 2018 . Reinforcement Learning : An Introduction (second ed.). The MIT Press . http:\/\/incompleteideas.net\/book\/the-book-2nd.html Richard S. Sutton and Andrew G. Barto. 2018. Reinforcement Learning: An Introduction (second ed.). The MIT Press. http:\/\/incompleteideas.net\/book\/the-book-2nd.html"},{"key":"e_1_3_2_1_34_1","doi-asserted-by":"publisher","DOI":"10.1145\/1966445.1966451"},{"key":"e_1_3_2_1_35_1","unstructured":"unikraft.org [n.d.]. Unikraft - Extreme Specialization for Security and Performance.  unikraft.org [n.d.]. Unikraft - Extreme Specialization for Security and Performance ."},{"key":"e_1_3_2_1_36_1","volume-title":"Proceedings of the 8th USENIX Workshop on Hot Topics in Cloud Computing (HotCloud16)","author":"Williams Dan","year":"2016","unstructured":"Dan Williams and Ricardo Koller . 2016 . Unikernel Monitors: Extending Minimalism Outside of the Box . In Proceedings of the 8th USENIX Workshop on Hot Topics in Cloud Computing (HotCloud16) . USENIX. https:\/\/www.usenix.org\/conference\/hotcloud16\/workshop-program\/presentation\/williams Dan Williams and Ricardo Koller. 2016. Unikernel Monitors: Extending Minimalism Outside of the Box. In Proceedings of the 8th USENIX Workshop on Hot Topics in Cloud Computing (HotCloud16). USENIX. https:\/\/www.usenix.org\/conference\/hotcloud16\/workshop-program\/presentation\/williams"},{"key":"e_1_3_2_1_37_1","volume-title":"USENIX Annual Technical Conference, FREENIX Track. 175&ndash;188","author":"Wright Charles P","year":"2005","unstructured":"Charles P Wright , Nikolai Joukov , Devaki Kulkarni , Yevgeniy Miretskiy , and Erez Zadok . 2005 . Auto-pilot: A Platform for System Software Benchmarking .. In USENIX Annual Technical Conference, FREENIX Track. 175&ndash;188 . Charles P Wright, Nikolai Joukov, Devaki Kulkarni, Yevgeniy Miretskiy, and Erez Zadok. 2005. Auto-pilot: A Platform for System Software Benchmarking.. In USENIX Annual Technical Conference, FREENIX Track. 175&ndash;188."}],"event":{"name":"APSys '21: 12th ACM SIGOPS Asia-Pacific Workshop on Systems","location":"Hong Kong China","acronym":"APSys '21","sponsor":["SIGOPS ACM Special Interest Group on Operating Systems"]},"container-title":["Proceedings of the 12th ACM SIGOPS Asia-Pacific Workshop on Systems"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3476886.3477506","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3476886.3477506","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,17]],"date-time":"2025-06-17T19:30:45Z","timestamp":1750188645000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3476886.3477506"}},"subtitle":["towards automatically deriving optimal OS configurations"],"short-title":[],"issued":{"date-parts":[[2021,8,24]]},"references-count":37,"alternative-id":["10.1145\/3476886.3477506","10.1145\/3476886"],"URL":"https:\/\/doi.org\/10.1145\/3476886.3477506","relation":{},"subject":[],"published":{"date-parts":[[2021,8,24]]},"assertion":[{"value":"2021-08-24","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}