{"id":"W3211739903","doi":"10.1109/cloud53861.2021.00070","title":"Fundy: A Scalable and Extensible Resource Manager for Cloud Resources","year":2021,"lang":"en","type":"article","venue":"","topic":"Cloud Computing and Resource Management","field":"Computer Science","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"Huawei Technologies (Canada)","funders":"","keywords":"Computer science; Cloud computing; Scalability; Microservices; Distributed computing; Architecture; Grid; Scheduling (production processes); Operating system; Engineering","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001444772,0.0008287702,0.0006158378,0.001025383,0.0007547656,0.001625939,0.002302773,0.0005462762,0.002510484],"category_scores_gemma":[0.002556908,0.0005881769,0.0004665538,0.0007690298,0.0005719349,0.003306801,0.002750883,0.00118545,0.001049227],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001078752,"about_ca_system_score_gemma":0.00206092,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006373018,"about_ca_topic_score_gemma":0.005601172,"domain_scores_codex":[0.9989827,0.0001218805,0.00009999071,0.0001664841,0.0004359258,0.0001928132],"domain_scores_gemma":[0.9989941,0.0001432389,0.0001408568,0.0002943543,0.0001765002,0.0002510187],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001633846,0.0006462228,0.01095582,0.0007694161,0.0003540742,0.001199396,0.001096996,0.0838336,0.08584657,0.03845216,0.1700085,0.6052034],"study_design_scores_gemma":[0.0003902172,0.000554594,0.005678997,0.000098745,0.0001359078,0.0007999043,0.0003014203,0.6916898,0.03983871,0.01297965,0.2472122,0.0003197981],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.05163171,0.001761771,0.8397043,0.0008659172,0.0004127744,0.001414856,0.001217844,0.09117698,0.01181384],"genre_scores_gemma":[0.4309641,0.0009157213,0.5515438,0.0006786922,0.0002461074,0.0007292284,0.002605358,0.002865413,0.009451508],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.006373018,"threshold_uncertainty_score":0.01267183,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01510552835431858,"score_gpt":0.2296974044522701,"score_spread":0.2145918760979515,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}