{"id":"https://openalex.org/W4404755868","doi":"https://doi.org/10.1145/3702634.3702950","title":"Advancing Serverless Computing for Scalable AI Model Inference: Challenges and Opportunities","display_name":"Advancing Serverless Computing for Scalable AI Model Inference: Challenges and Opportunities","publication_year":2024,"publication_date":"2024-11-27","ids":{"openalex":"https://openalex.org/W4404755868","doi":"https://doi.org/10.1145/3702634.3702950"},"language":"en","primary_location":{"id":"doi:10.1145/3702634.3702950","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3702634.3702950","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3702634.3702950?download=true","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 10th International Workshop on Serverless Computing","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/10.1145/3702634.3702950?download=true","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5115601836","display_name":"Li Wang","orcid":"https://orcid.org/0009-0005-4515-477X"},"institutions":[{"id":"https://openalex.org/I12912129","display_name":"Northeastern University","ror":"https://ror.org/04t5xt781","country_code":"US","type":"education","lineage":["https://openalex.org/I12912129"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Li Wang","raw_affiliation_strings":["Northeastern University, Boston, United States"],"raw_orcid":"https://orcid.org/0009-0005-4515-477X","affiliations":[{"raw_affiliation_string":"Northeastern University, Boston, United States","institution_ids":["https://openalex.org/I12912129"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102690379","display_name":"Yankai Jiang","orcid":"https://orcid.org/0009-0006-9968-7560"},"institutions":[{"id":"https://openalex.org/I12912129","display_name":"Northeastern University","ror":"https://ror.org/04t5xt781","country_code":"US","type":"education","lineage":["https://openalex.org/I12912129"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yankai Jiang","raw_affiliation_strings":["Northeastern University, Boston, USA"],"raw_orcid":"https://orcid.org/0009-0006-9968-7560","affiliations":[{"raw_affiliation_string":"Northeastern University, Boston, USA","institution_ids":["https://openalex.org/I12912129"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5091825452","display_name":"Ningfang Mi","orcid":"https://orcid.org/0009-0005-0934-1287"},"institutions":[{"id":"https://openalex.org/I12912129","display_name":"Northeastern University","ror":"https://ror.org/04t5xt781","country_code":"US","type":"education","lineage":["https://openalex.org/I12912129"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Ningfang Mi","raw_affiliation_strings":["Northeastern University, Boston, United States"],"raw_orcid":"https://orcid.org/0009-0005-0934-1287","affiliations":[{"raw_affiliation_string":"Northeastern University, Boston, United States","institution_ids":["https://openalex.org/I12912129"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5115601836"],"corresponding_institution_ids":["https://openalex.org/I12912129"],"apc_list":null,"apc_paid":null,"fwci":6.714,"has_fulltext":true,"cited_by_count":9,"citation_normalized_percentile":{"value":0.96883081,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10101","display_name":"Cloud Computing and Resource Management","score":0.9972000122070312,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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/T10101","display_name":"Cloud Computing and Resource Management","score":0.9972000122070312,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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/T11986","display_name":"Scientific Computing and Data Management","score":0.9961000084877014,"subfield":{"id":"https://openalex.org/subfields/1802","display_name":"Information Systems and Management"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T12127","display_name":"Software System Performance and Reliability","score":0.9902999997138977,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7631146907806396},{"id":"https://openalex.org/keywords/scalability","display_name":"Scalability","score":0.7189822196960449},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.7081000208854675},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.3856193423271179},{"id":"https://openalex.org/keywords/distributed-computing","display_name":"Distributed computing","score":0.3492138683795929},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.30378204584121704},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.11451822519302368}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7631146907806396},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.7189822196960449},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.7081000208854675},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.3856193423271179},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.3492138683795929},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.30378204584121704},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.11451822519302368}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3702634.3702950","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3702634.3702950","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3702634.3702950?download=true","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 10th International Workshop on Serverless Computing","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.1145/3702634.3702950","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3702634.3702950","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3702634.3702950?download=true","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 10th International Workshop on Serverless Computing","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G2461488729","display_name":"Collaborative Research: CyberTraining: Implementation: Medium: AI4EDU: Cloud Infrastructure-Enabled Training for AI in Educational Research and Assessment","funder_award_id":"2417715","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G6420210134","display_name":null,"funder_award_id":"CNS-2008072","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"}],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"}],"has_content":{"pdf":true,"grobid_xml":false},"content_urls":{"pdf":"https://content.openalex.org/works/W4404755868.pdf"},"referenced_works_count":14,"referenced_works":["https://openalex.org/W2734941459","https://openalex.org/W3204075005","https://openalex.org/W4214690606","https://openalex.org/W4232212103","https://openalex.org/W4293234116","https://openalex.org/W4295308516","https://openalex.org/W4309647880","https://openalex.org/W4317988082","https://openalex.org/W4381746849","https://openalex.org/W4385437022","https://openalex.org/W4386436407","https://openalex.org/W4388041447","https://openalex.org/W4390075082","https://openalex.org/W4394923129"],"related_works":["https://openalex.org/W2389214306","https://openalex.org/W2965083567","https://openalex.org/W4235240664","https://openalex.org/W1982914007","https://openalex.org/W2159583675","https://openalex.org/W1824242903","https://openalex.org/W1493858311","https://openalex.org/W2155470929","https://openalex.org/W2111125783","https://openalex.org/W2394465510"],"abstract_inverted_index":{"Artificial":[0],"Intelligence":[1],"(AI)":[2],"model":[3,30,44,81,118],"inference":[4,31,45,82,119,140],"has":[5],"emerged":[6],"as":[7,95],"a":[8,36,67,96],"crucial":[9],"component":[10],"across":[11],"numerous":[12],"applications.":[13],"Serverless":[14],"computing,":[15,85],"known":[16],"for":[17,27,99],"its":[18],"scalability,":[19],"flexibility,":[20],"and":[21,64,83,90,102,112],"cost-efficiency,":[22],"is":[23,130],"an":[24],"ideal":[25],"paradigm":[26],"executing":[28],"AI":[29,43,80,117],"tasks.":[32],"This":[33,92],"survey":[34,93,133],"provides":[35],"comprehensive":[37],"review":[38],"of":[39,69,126,144],"recent":[40],"research":[41],"on":[42,51],"systems":[46],"in":[47,79,115,141],"serverless":[48,84,121,145],"environments,":[49],"focusing":[50],"studies":[52],"published":[53],"since":[54],"2019.":[55],"We":[56],"investigate":[57],"system-level":[58],"advancements":[59],"aimed":[60],"at":[61],"optimizing":[62],"performance":[63],"cost-efficiency":[65],"through":[66],"range":[68],"innovative":[70],"techniques.":[71],"By":[72],"analyzing":[73],"high-impact":[74],"papers":[75],"from":[76],"leading":[77],"venues":[78],"we":[86],"highlight":[87],"key":[88],"breakthroughs":[89],"solutions.":[91],"serves":[94],"valuable":[97],"resource":[98],"both":[100],"practitioners":[101],"academic":[103],"researchers,":[104],"offering":[105],"critical":[106],"insights":[107],"into":[108],"the":[109,124,131,142],"current":[110],"state":[111],"future":[113],"trends":[114],"integrating":[116],"with":[120],"architectures.":[122],"To":[123],"best":[125],"our":[127],"knowledge,":[128],"this":[129],"first":[132],"that":[134],"includes":[135],"Large":[136],"Language":[137],"Models":[138],"(LLMs)":[139],"context":[143],"computing.":[146]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":8}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}
