{"id":"https://openalex.org/W7140229179","doi":"https://doi.org/10.48550/arxiv.2603.21257","title":"CALVO: Improve Serving Efficiency for LLM Inferences with Intense Network Demands","display_name":"CALVO: Improve Serving Efficiency for LLM Inferences with Intense Network Demands","publication_year":2026,"publication_date":"2026-03-22","ids":{"openalex":"https://openalex.org/W7140229179","doi":"https://doi.org/10.48550/arxiv.2603.21257"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2603.21257","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2603.21257","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"article"},"type":"preprint","indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://doi.org/10.48550/arxiv.2603.21257","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":null,"display_name":"Wang, Weiye","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Wang, Weiye","raw_affiliation_strings":["Shanghai Jiao Tong University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Shanghai Jiao Tong University","institution_ids":[]}]},{"author_position":"middle","author":{"id":null,"display_name":"Chen, Chen","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Chen, Chen","raw_affiliation_strings":["Shanghai Jiao Tong University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Shanghai Jiao Tong University","institution_ids":[]}]},{"author_position":"middle","author":{"id":null,"display_name":"Zhang, Junxue","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zhang, Junxue","raw_affiliation_strings":["University of Science and Technology of China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Science and Technology of China","institution_ids":[]}]},{"author_position":"middle","author":{"id":null,"display_name":"Wang, Zhusheng","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Wang, Zhusheng","raw_affiliation_strings":["Huawei"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Huawei","institution_ids":[]}]},{"author_position":"middle","author":{"id":null,"display_name":"Yuan, Hui","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yuan, Hui","raw_affiliation_strings":["Huawei"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Huawei","institution_ids":[]}]},{"author_position":"middle","author":{"id":null,"display_name":"Guan, Zixuan","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Guan, Zixuan","raw_affiliation_strings":["Huawei"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Huawei","institution_ids":[]}]},{"author_position":"middle","author":{"id":null,"display_name":"Zheng, Xiaolong","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zheng, Xiaolong","raw_affiliation_strings":["Huawei"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Huawei","institution_ids":[]}]},{"author_position":"middle","author":{"id":null,"display_name":"Weng, Qizhen","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Weng, Qizhen","raw_affiliation_strings":["Institute of Artificial Intelligence"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Artificial Intelligence","institution_ids":[]}]},{"author_position":"middle","author":{"id":null,"display_name":"Chen, Yin","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Chen, Yin","raw_affiliation_strings":["Institute of Artificial Intelligence"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Artificial Intelligence","institution_ids":[]}]},{"author_position":"last","author":{"id":null,"display_name":"Guo, Minyi","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Guo, Minyi","raw_affiliation_strings":["Shanghai Jiao Tong University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Shanghai Jiao Tong University","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":10,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11478","display_name":"Caching and Content Delivery","score":0.6491000056266785,"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"}},"topics":[{"id":"https://openalex.org/T11478","display_name":"Caching and Content Delivery","score":0.6491000056266785,"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/T10101","display_name":"Cloud Computing and Resource Management","score":0.12269999831914902,"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/T11181","display_name":"Advanced Data Storage Technologies","score":0.09309999644756317,"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/testbed","display_name":"Testbed","score":0.7372999787330627},{"id":"https://openalex.org/keywords/server","display_name":"Server","score":0.5792999863624573},{"id":"https://openalex.org/keywords/computation","display_name":"Computation","score":0.5784000158309937},{"id":"https://openalex.org/keywords/scheduling","display_name":"Scheduling (production processes)","score":0.5752999782562256},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.574400007724762},{"id":"https://openalex.org/keywords/cache","display_name":"Cache","score":0.5234000086784363},{"id":"https://openalex.org/keywords/component","display_name":"Component (thermodynamics)","score":0.4758000075817108}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8116999864578247},{"id":"https://openalex.org/C31395832","wikidata":"https://www.wikidata.org/wiki/Q1318674","display_name":"Testbed","level":2,"score":0.7372999787330627},{"id":"https://openalex.org/C93996380","wikidata":"https://www.wikidata.org/wiki/Q44127","display_name":"Server","level":2,"score":0.5792999863624573},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.5784000158309937},{"id":"https://openalex.org/C206729178","wikidata":"https://www.wikidata.org/wiki/Q2271896","display_name":"Scheduling (production processes)","level":2,"score":0.5752999782562256},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.574400007724762},{"id":"https://openalex.org/C115537543","wikidata":"https://www.wikidata.org/wiki/Q165596","display_name":"Cache","level":2,"score":0.5234000086784363},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.5015000104904175},{"id":"https://openalex.org/C168167062","wikidata":"https://www.wikidata.org/wiki/Q1117970","display_name":"Component (thermodynamics)","level":2,"score":0.4758000075817108},{"id":"https://openalex.org/C79974875","wikidata":"https://www.wikidata.org/wiki/Q483639","display_name":"Cloud computing","level":2,"score":0.4099000096321106},{"id":"https://openalex.org/C78766204","wikidata":"https://www.wikidata.org/wiki/Q555032","display_name":"Multi-core processor","level":2,"score":0.34310001134872437},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.33399999141693115},{"id":"https://openalex.org/C2780378061","wikidata":"https://www.wikidata.org/wiki/Q25351891","display_name":"Service (business)","level":2,"score":0.3273000121116638},{"id":"https://openalex.org/C141603448","wikidata":"https://www.wikidata.org/wiki/Q134830","display_name":"Prefix","level":2,"score":0.3190000057220459},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.2964000105857849},{"id":"https://openalex.org/C172086080","wikidata":"https://www.wikidata.org/wiki/Q62270","display_name":"Remote procedure call","level":2,"score":0.2806999981403351},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.26660001277923584},{"id":"https://openalex.org/C177212765","wikidata":"https://www.wikidata.org/wiki/Q627335","display_name":"Workflow","level":2,"score":0.2614000141620636}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2603.21257","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2603.21257","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"article"}],"best_oa_location":{"id":"doi:10.48550/arxiv.2603.21257","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2603.21257","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Distributed":[0],"prefix":[1],"caching":[2],"has":[3,28],"become":[4,42],"a":[5,31,65,94,142],"core":[6],"technique":[7],"for":[8,13,76],"efficient":[9],"LLM":[10,37,54,86,158],"serving.":[11],"However,":[12,52],"long-context":[14,147],"requests":[15],"with":[16,145],"high":[17],"cache":[18],"hit":[19],"ratios,":[20],"retrieving":[21],"reusable":[22],"KVCache":[23,62,91,99,123],"blocks":[24],"from":[25],"remote":[26],"servers":[27],"emerged":[29],"as":[30,45,64,93,126],"new":[32],"performance":[33],"bottleneck.":[34],"Such":[35],"network-intensive":[36,157],"inference":[38,55],"is":[39],"expected":[40],"to":[41,50,68,74,135,162],"increasingly":[43],"common":[44],"agentic":[46],"AI":[47],"workloads":[48,148],"continue":[49],"grow.":[51],"existing":[53],"engines":[56],"remain":[57],"largely":[58],"compute-centric:":[59],"they":[60],"treat":[61],"loading":[63,92,100,124],"subordinate":[66],"phase":[67],"GPU":[69,102],"execution":[70],"and":[71,101,116],"often":[72],"fail":[73],"account":[75],"its":[77],"delay":[78,125],"explicitly":[79],"during":[80],"scheduling.":[81],"We":[82],"present":[83],"CALVO,":[84],"an":[85,127],"serving":[87],"engine":[88],"that":[89,150],"treats":[90],"first-class":[95],"concern.":[96],"CALVO":[97,121,151],"decouples":[98],"computation":[103,117],"into":[104],"independently":[105],"managed,":[106],"asynchronously":[107],"progressing":[108],"stages,":[109],"enabling":[110],"better":[111],"utilization":[112],"of":[113,130,156],"network,":[114],"PCIe,":[115],"resources.":[118],"In":[119],"addition,":[120],"incorporates":[122],"explicit":[128],"component":[129],"per-request":[131],"service":[132],"cost,":[133],"leading":[134],"more":[136],"accurate":[137],"scheduling":[138],"decisions.":[139],"Experiments":[140],"on":[141],"real":[143],"testbed":[144],"diverse":[146],"show":[149],"substantially":[152],"improves":[153],"the":[154,168],"efficiency":[155],"inference,":[159],"achieving":[160],"up":[161],"61.67%":[163],"higher":[164],"SLO":[165],"attainment":[166],"than":[167],"baseline.":[169]},"counts_by_year":[],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2026-03-25T00:00:00"}
