[{"data":1,"prerenderedAt":96},["ShallowReactive",2],{"ki-evidenznetz-dossier-output-aef48939ccdeb1617a93087d-dd7a7173":3},{"edges":4,"entity":16,"fingerprint":46,"generatedAt":47,"neighbors":48,"schemaVersion":95},[5],{"evidence":6,"evidenceClass":11,"from":12,"id":13,"relation":14,"to":15},{"dataset":7,"field":8,"sourceId":9,"url":10},"german-ai-research-to-transfer-index","cordis_project_code","101086248:output:aef48939ccdeb1617a93087d","https:\u002F\u002Fcordis.europa.eu\u002Fproject\u002Fid\u002F101086248","exact","cordis:101086248","edge:project-output:101086248:aef48939ccdeb1617a93087d","has_observed_output","output:aef48939ccdeb1617a93087d",{"attributes":17,"edgeCount":30,"id":15,"indexable":19,"label":31,"links":32,"slug":41,"sourceRefs":42,"type":45},{"citationCount":18,"isOpenAccess":19,"openAireId":20,"outputType":21,"persistentIdentifiers":22,"publicationDate":29},0,true,"doi_dedup___::862e1fb817f4ad798498d42509d47090","publication",[23,26],{"scheme":24,"value":25},"doi","10.1109\u002Fcloud67622.2025.00017",{"scheme":27,"value":28},"handle","2117\u002F441243","2025-07-07",1,"Dynamic In-node Group-Aware Scheduling for Multi-Tenant Machine Learning Services on Kubernetes",[33,37],{"kind":34,"label":35,"url":36},"official_source","OpenAIRE","https:\u002F\u002Fapi.openaire.eu\u002Fgraph\u002Fv3\u002Fresearch-products\u002Fdoi_dedup___%3A%3A862e1fb817f4ad798498d42509d47090",{"kind":38,"label":39,"url":40},"persistent_identifier","DOI 10.1109\u002Fcloud67622.2025.00017","https:\u002F\u002Fdoi.org\u002F10.1109\u002Fcloud67622.2025.00017","output-aef48939ccdeb1617a93087d-dd7a7173",[43],{"dataset":7,"field":44,"sourceId":20,"url":36},"openaire_research_product_id","output","sha256:702026ff9dab3fe787d0fa85a49aff2d0138411e1cd65f87cadce15ed5ceaf52","2026-08-01T09:21:19.131Z",[49],{"attributes":50,"description":79,"edgeCount":80,"id":12,"indexable":19,"label":81,"links":82,"slug":89,"sourceRefs":90,"type":94},{"acronym":51,"code":52,"endDate":53,"frameworkProgramme":54,"funding":55,"knowledgeFlow":60,"research":68,"startDate":71},"CLOUDSTARS","101086248","2026-12-31","HORIZON",{"currency":56,"germanNetEuContributionCents":57,"participantEdgeCount":58,"status":59},"EUR","19780000",3,"linked",{"citingCountryCount":61,"citingInstitutionCount":62,"distinctCitingWorkCount":63,"firstObservedCitationDate":64,"lastObservedCitationDate":65,"observedCitationEdgeCount":66,"status":67},55,399,222,"2020-10-01","2026-07-27",246,"full_input_observation",{"citationDataOutputCount":69,"citedOutputCount":70,"firstPublicationDate":71,"lastPublicationDate":72,"openAccessOutputCount":73,"outputCount":69,"status":59,"totalCitations":74,"typeCounts":75},61,27,"2023-01-01","2026-05-01",50,181,{"dataset":76,"other":77,"publication":78,"software":76},2,9,48,"Cloud Open Source Research Mobility Network",15,"CLOUDSTARS · Cloud Open Source Research Mobility Network",[83,85],{"kind":34,"label":84,"url":10},"CORDIS",{"kind":86,"label":87,"url":88},"local_dossier","KI-Innovationspfad","\u002Ftools\u002Fki-innovationspfad\u002F?project=101086248","project-cordis-101086248-07021107",[91],{"dataset":92,"field":93,"sourceId":12,"url":10},"german-ai-innovation-path","cordis_project_id","project","ki-evidenznetz.entity.v1",1785576528228]