{"id":"https://openalex.org/W4401408844","doi":"https://doi.org/10.1145/3673038.3673081","title":"The Blind and the Elephant: A Preference-aware Edge Video Analytics Scheduler for Maximizing System Benefit","display_name":"The Blind and the Elephant: A Preference-aware Edge Video Analytics Scheduler for Maximizing System Benefit","publication_year":2024,"publication_date":"2024-08-08","ids":{"openalex":"https://openalex.org/W4401408844","doi":"https://doi.org/10.1145/3673038.3673081"},"language":"en","primary_location":{"id":"doi:10.1145/3673038.3673081","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3673038.3673081","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3673038.3673081","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 53rd International Conference on Parallel Processing","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://dl.acm.org/doi/pdf/10.1145/3673038.3673081","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5068498390","display_name":"L.L. Zhang","orcid":"https://orcid.org/0000-0002-6788-5857"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Liang Zhang","raw_affiliation_strings":["Dept. of Computer Science and Engineering, Shanghai Jiao Tong University, China"],"affiliations":[{"raw_affiliation_string":"Dept. of Computer Science and Engineering, Shanghai Jiao Tong University, China","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5071050711","display_name":"Hongzi Zhu","orcid":"https://orcid.org/0000-0001-8657-5064"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hongzi Zhu","raw_affiliation_strings":["Dept. of Computer Science and Engineering, Shanghai Jiao Tong University, China"],"affiliations":[{"raw_affiliation_string":"Dept. of Computer Science and Engineering, Shanghai Jiao Tong University, China","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5001451561","display_name":"Yunzhe Li","orcid":"https://orcid.org/0000-0003-4146-8542"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yunzhe Li","raw_affiliation_strings":["Dept. of Computer Science and Engineering, Shanghai Jiao Tong University, China"],"affiliations":[{"raw_affiliation_string":"Dept. of Computer Science and Engineering, Shanghai Jiao Tong University, China","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103208519","display_name":"Jiangang Shen","orcid":"https://orcid.org/0000-0001-9101-3752"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiangang Shen","raw_affiliation_strings":["Dept. of Computer Science and Engineering, Shanghai Jiao Tong University, China"],"affiliations":[{"raw_affiliation_string":"Dept. of Computer Science and Engineering, Shanghai Jiao Tong University, China","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5039318240","display_name":"Minyi Guo","orcid":"https://orcid.org/0000-0003-0034-2302"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Minyi Guo","raw_affiliation_strings":["Dept. of Computer Science and Engineering, Shanghai Jiao Tong University, China"],"affiliations":[{"raw_affiliation_string":"Dept. of Computer Science and Engineering, Shanghai Jiao Tong University, China","institution_ids":["https://openalex.org/I183067930"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5068498390"],"corresponding_institution_ids":["https://openalex.org/I183067930"],"apc_list":null,"apc_paid":null,"fwci":0.2624,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.51863752,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"317","last_page":"326"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11165","display_name":"Image and Video Quality Assessment","score":0.9977999925613403,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/T11165","display_name":"Image and Video Quality Assessment","score":0.9977999925613403,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/T10273","display_name":"IoT and Edge/Fog Computing","score":0.9692999720573425,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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/T10799","display_name":"Data Visualization and Analytics","score":0.9447000026702881,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/computer-science","display_name":"Computer science","score":0.7370930910110474},{"id":"https://openalex.org/keywords/analytics","display_name":"Analytics","score":0.6591694951057434},{"id":"https://openalex.org/keywords/preference","display_name":"Preference","score":0.594797670841217},{"id":"https://openalex.org/keywords/enhanced-data-rates-for-gsm-evolution","display_name":"Enhanced Data Rates for GSM Evolution","score":0.5290362238883972},{"id":"https://openalex.org/keywords/scheduling","display_name":"Scheduling (production processes)","score":0.41851356625556946},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.19460013508796692},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.16200563311576843},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.08992254734039307},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.08745121955871582}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7370930910110474},{"id":"https://openalex.org/C79158427","wikidata":"https://www.wikidata.org/wiki/Q485396","display_name":"Analytics","level":2,"score":0.6591694951057434},{"id":"https://openalex.org/C2781249084","wikidata":"https://www.wikidata.org/wiki/Q908656","display_name":"Preference","level":2,"score":0.594797670841217},{"id":"https://openalex.org/C162307627","wikidata":"https://www.wikidata.org/wiki/Q204833","display_name":"Enhanced Data Rates for GSM Evolution","level":2,"score":0.5290362238883972},{"id":"https://openalex.org/C206729178","wikidata":"https://www.wikidata.org/wiki/Q2271896","display_name":"Scheduling (production processes)","level":2,"score":0.41851356625556946},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.19460013508796692},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.16200563311576843},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.08992254734039307},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.08745121955871582},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3673038.3673081","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3673038.3673081","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3673038.3673081","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 53rd International Conference on Parallel Processing","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.1145/3673038.3673081","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3673038.3673081","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3673038.3673081","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 53rd International Conference on Parallel Processing","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4401408844.pdf"},"referenced_works_count":20,"referenced_works":["https://openalex.org/W95608104","https://openalex.org/W1965520710","https://openalex.org/W2618033241","https://openalex.org/W2790412025","https://openalex.org/W2872933037","https://openalex.org/W2884165914","https://openalex.org/W2887117815","https://openalex.org/W2895379625","https://openalex.org/W2913507876","https://openalex.org/W2963805801","https://openalex.org/W2980938316","https://openalex.org/W3036158814","https://openalex.org/W3046256272","https://openalex.org/W3046754651","https://openalex.org/W3046995641","https://openalex.org/W3134061290","https://openalex.org/W3185074539","https://openalex.org/W3198227059","https://openalex.org/W3212848654","https://openalex.org/W4246571396"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W4396696052","https://openalex.org/W2382290278","https://openalex.org/W4389341988"],"abstract_inverted_index":{"Video":[0],"analytics":[1,134],"is":[2],"the":[3,11,84],"killer":[4],"workload":[5],"in":[6],"edge":[7],"computing,":[8],"which":[9],"involves":[10],"scheduler\u2019s":[12],"complex":[13],"decisions":[14],"to":[15,42,49,62,108,123,142,147],"balance":[16],"analysis":[17],"performance":[18,110],"(latency":[19],"and":[20,22,27,57,116,127],"accuracy)":[21],"resource":[23,58,114],"consumption":[24],"(network,":[25],"computation,":[26],"energy).":[28],"Traditional":[29],"schedulers":[30],"address":[31],"this":[32,70],"as":[33],"a":[34,74,99,104,118],"single-objective":[35],"optimization":[36,121],"problem":[37],"with":[38,103],"fixed":[39],"weights,":[40],"unable":[41],"precisely":[43],"capture":[44],"unknown":[45],"system":[46,64,85],"preferences":[47],"due":[48],"intricate":[50],"pricing":[51,86],"rules":[52],"across":[53],"various":[54],"service":[55],"levels":[56],"costs,":[59],"consequently":[60],"leading":[61],"suboptimal":[63],"benefit":[65,144],"like":[66],"monetary":[67],"gain.":[68],"In":[69],"paper,":[71],"we":[72],"propose":[73],"Bayesian":[75,120],"optimization-driven":[76],"multi-objective":[77],"scheduler,":[78],"PaMO,":[79],"that":[80,137],"can":[81,139],"proactively":[82],"explore":[83],"preference":[87],"by":[88,113],"pairwise":[89],"comparing":[90],"outcome":[91],"vectors":[92],"of":[93],"all":[94],"objectives.":[95],"Moreover,":[96],"PaMO":[97,138],"designs":[98],"heuristic":[100],"scheduling":[101,128,149],"algorithm":[102,122],"zero-delay":[105],"jitter":[106],"guarantee":[107],"avoid":[109],"degradation":[111],"caused":[112],"contention":[115],"uses":[117],"revised":[119],"make":[124],"video":[125,133],"configuration":[126],"decisions.":[129],"Experiments":[130],"on":[131],"real":[132],"workloads":[135],"show":[136],"achieve":[140],"up":[141],"53.9%":[143],"gain":[145],"compared":[146],"state-of-the-art":[148],"methods.":[150]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}