{"id":"https://openalex.org/W4414688329","doi":"https://doi.org/10.1145/3766882.3767174","title":"OQueue: Observable Communication in Learning Directed Operating Systems","display_name":"OQueue: Observable Communication in Learning Directed Operating Systems","publication_year":2025,"publication_date":"2025-10-01","ids":{"openalex":"https://openalex.org/W4414688329","doi":"https://doi.org/10.1145/3766882.3767174"},"language":"en","primary_location":{"id":"doi:10.1145/3766882.3767174","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3766882.3767174","pdf_url":null,"source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 4th Workshop on Practical Adoption Challenges of ML for Systems","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.1145/3766882.3767174","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5119790806","display_name":"Aditya Atul Tewari","orcid":null},"institutions":[{"id":"https://openalex.org/I86519309","display_name":"The University of Texas at Austin","ror":"https://ror.org/00hj54h04","country_code":"US","type":"education","lineage":["https://openalex.org/I86519309"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Aditya Atul Tewari","raw_affiliation_strings":["University of Texas at Austin"],"raw_orcid":"https://orcid.org/0009-0003-8662-1923","affiliations":[{"raw_affiliation_string":"University of Texas at Austin","institution_ids":["https://openalex.org/I86519309"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5029521965","display_name":"Sujay Yadalam","orcid":"https://orcid.org/0009-0005-6850-5579"},"institutions":[{"id":"https://openalex.org/I135310074","display_name":"University of Wisconsin\u2013Madison","ror":"https://ror.org/01y2jtd41","country_code":"US","type":"education","lineage":["https://openalex.org/I135310074"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Sujay Yadalam","raw_affiliation_strings":["University of Wisconsin-Madison"],"raw_orcid":"https://orcid.org/0009-0005-6850-5579","affiliations":[{"raw_affiliation_string":"University of Wisconsin-Madison","institution_ids":["https://openalex.org/I135310074"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5032796524","display_name":"Arthur Peters","orcid":"https://orcid.org/0000-0002-1960-7422"},"institutions":[{"id":"https://openalex.org/I86519309","display_name":"The University of Texas at Austin","ror":"https://ror.org/00hj54h04","country_code":"US","type":"education","lineage":["https://openalex.org/I86519309"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Arthur Michener Peters","raw_affiliation_strings":["University of Texas at Austin"],"raw_orcid":"https://orcid.org/0000-0002-1960-7422","affiliations":[{"raw_affiliation_string":"University of Texas at Austin","institution_ids":["https://openalex.org/I86519309"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101739283","display_name":"Saurabh Agarwal","orcid":"https://orcid.org/0009-0009-4880-0289"},"institutions":[{"id":"https://openalex.org/I86519309","display_name":"The University of Texas at Austin","ror":"https://ror.org/00hj54h04","country_code":"US","type":"education","lineage":["https://openalex.org/I86519309"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Saurabh Agarwal","raw_affiliation_strings":["University of Texas at Austin"],"raw_orcid":"https://orcid.org/0009-0009-4880-0289","affiliations":[{"raw_affiliation_string":"University of Texas at Austin","institution_ids":["https://openalex.org/I86519309"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5035329776","display_name":"Aditya Akella","orcid":"https://orcid.org/0000-0002-5920-170X"},"institutions":[{"id":"https://openalex.org/I86519309","display_name":"The University of Texas at Austin","ror":"https://ror.org/00hj54h04","country_code":"US","type":"education","lineage":["https://openalex.org/I86519309"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Aditya Akella","raw_affiliation_strings":["University of Texas at Austin"],"raw_orcid":"https://orcid.org/0000-0002-5920-170X","affiliations":[{"raw_affiliation_string":"University of Texas at Austin","institution_ids":["https://openalex.org/I86519309"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5072740120","display_name":"Michael M. Swift","orcid":"https://orcid.org/0000-0002-7926-648X"},"institutions":[{"id":"https://openalex.org/I135310074","display_name":"University of Wisconsin\u2013Madison","ror":"https://ror.org/01y2jtd41","country_code":"US","type":"education","lineage":["https://openalex.org/I135310074"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Michael M. Swift","raw_affiliation_strings":["University of Wisconsin-Madison"],"raw_orcid":"https://orcid.org/0000-0002-7926-648X","affiliations":[{"raw_affiliation_string":"University of Wisconsin-Madison","institution_ids":["https://openalex.org/I135310074"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5003307688","display_name":"Christopher J. Rossbach","orcid":"https://orcid.org/0000-0003-0329-3657"},"institutions":[{"id":"https://openalex.org/I1290206253","display_name":"Microsoft (United States)","ror":"https://ror.org/00d0nc645","country_code":"US","type":"company","lineage":["https://openalex.org/I1290206253"]},{"id":"https://openalex.org/I4210164937","display_name":"Microsoft Research (United Kingdom)","ror":"https://ror.org/05k87vq12","country_code":"GB","type":"company","lineage":["https://openalex.org/I1290206253","https://openalex.org/I4210164937"]}],"countries":["GB","US"],"is_corresponding":false,"raw_author_name":"Christopher J. Rossbach","raw_affiliation_strings":["University of Texas at Austin, Microsoft Research"],"raw_orcid":"https://orcid.org/0000-0003-0329-3657","affiliations":[{"raw_affiliation_string":"University of Texas at Austin, Microsoft Research","institution_ids":["https://openalex.org/I4210164937","https://openalex.org/I1290206253"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":7,"corresponding_author_ids":["https://openalex.org/A5119790806"],"corresponding_institution_ids":["https://openalex.org/I86519309"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.13558261,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"31","last_page":"36"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12072","display_name":"Machine Learning and Algorithms","score":0.9973000288009644,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T12072","display_name":"Machine Learning and Algorithms","score":0.9973000288009644,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T12761","display_name":"Data Stream Mining Techniques","score":0.9761000275611877,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11122","display_name":"Online Learning and Analytics","score":0.9599000215530396,"subfield":{"id":"https://openalex.org/subfields/1706","display_name":"Computer Science Applications"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/abstraction","display_name":"Abstraction","score":0.8327000141143799},{"id":"https://openalex.org/keywords/scalability","display_name":"Scalability","score":0.5898000001907349},{"id":"https://openalex.org/keywords/observer","display_name":"Observer (physics)","score":0.5022000074386597},{"id":"https://openalex.org/keywords/introspection","display_name":"Introspection","score":0.42480000853538513},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.3416999876499176},{"id":"https://openalex.org/keywords/observable","display_name":"Observable","score":0.3393000066280365}],"concepts":[{"id":"https://openalex.org/C124304363","wikidata":"https://www.wikidata.org/wiki/Q673661","display_name":"Abstraction","level":2,"score":0.8327000141143799},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7390999794006348},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.5898000001907349},{"id":"https://openalex.org/C2780704645","wikidata":"https://www.wikidata.org/wiki/Q9251458","display_name":"Observer (physics)","level":2,"score":0.5022000074386597},{"id":"https://openalex.org/C129671850","wikidata":"https://www.wikidata.org/wiki/Q210501","display_name":"Introspection","level":2,"score":0.42480000853538513},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3693000078201294},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.3416999876499176},{"id":"https://openalex.org/C32848918","wikidata":"https://www.wikidata.org/wiki/Q845789","display_name":"Observable","level":2,"score":0.3393000066280365},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.31709998846054077},{"id":"https://openalex.org/C149635348","wikidata":"https://www.wikidata.org/wiki/Q193040","display_name":"Embedded system","level":1,"score":0.27639999985694885},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.26019999384880066},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.2590000033378601},{"id":"https://openalex.org/C28472234","wikidata":"https://www.wikidata.org/wiki/Q213666","display_name":"Real-time operating system","level":2,"score":0.25859999656677246},{"id":"https://openalex.org/C13662910","wikidata":"https://www.wikidata.org/wiki/Q193139","display_name":"Trajectory","level":2,"score":0.257999986410141},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.25699999928474426},{"id":"https://openalex.org/C115901376","wikidata":"https://www.wikidata.org/wiki/Q184199","display_name":"Automation","level":2,"score":0.25220000743865967}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3766882.3767174","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3766882.3767174","pdf_url":null,"source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 4th Workshop on Practical Adoption Challenges of ML for Systems","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.1145/3766882.3767174","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3766882.3767174","pdf_url":null,"source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 4th Workshop on Practical Adoption Challenges of ML for Systems","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":9,"referenced_works":["https://openalex.org/W3046478992","https://openalex.org/W3080184346","https://openalex.org/W3139827290","https://openalex.org/W3147137176","https://openalex.org/W4313128155","https://openalex.org/W4318541645","https://openalex.org/W4360886116","https://openalex.org/W4391055645","https://openalex.org/W4408844112"],"related_works":[],"abstract_inverted_index":{"The":[0],"need":[1],"for":[2,34,64,70,90],"rapid":[3],"policy":[4,53],"development":[5],"and":[6,24,67,78,82],"Machine":[7],"Learning":[8],"(ML)":[9],"to":[10,48,85],"catch":[11],"up":[12],"with":[13],"the":[14,28,76],"increasing":[15],"demands":[16],"on":[17],"Operating":[18],"Systems":[19],"made":[20],"by":[21],"evolving":[22],"hardware":[23],"applications":[25],"has":[26],"exposed":[27],"lack":[29],"of":[30,80],"a":[31,43,57,91],"data-plane":[32,45],"abstraction":[33,46],"efficient":[35],"data":[36],"movement":[37],"between":[38],"OS":[39],"subsystems.":[40],"OQueues":[41,81],"are":[42],"new":[44],"designed":[47],"aid":[49],"in":[50],"flexible":[51],"data-driven":[52],"design.":[54],"They":[55],"express":[56],"novel":[58],"observer":[59],"paradigm,":[60],"utilizing":[61],"weak":[62],"observers":[63,69],"history":[65],"introspection":[66],"strong":[68],"exactly-once":[71],"view":[72],"semantics.":[73],"We":[74],"evaluate":[75],"utility":[77],"scalability":[79],"use":[83],"them":[84],"implement":[86],"several":[87],"ML-based":[88],"policies":[89],"file-prefetcher.":[92]},"counts_by_year":[],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}
