{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004622654,0.0001594089,0.0002033683,0.00009276105,0.0003279746,0.000449665,0.0004766927,0.00005622848,0.00001918576],"category_scores_gemma":[0.0000573652,0.0001391377,0.0000875043,0.0004252785,0.00004975226,0.00003065124,0.00103862,0.00009436894,0.00002301006],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001955683,"about_ca_system_score_gemma":0.0000205398,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002216311,"about_ca_topic_score_gemma":0.0000080093,"domain_scores_codex":[0.9983909,0.00006807947,0.000215939,0.0006723661,0.0002330984,0.0004195861],"domain_scores_gemma":[0.9987715,0.0002166469,0.00005713499,0.0007370714,0.00008941898,0.0001282359],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000040973,0.0002986409,0.0007906972,0.0003463956,0.0002089487,0.0002396173,0.002578283,0.00459837,0.0005356711,0.4484855,0.2419575,0.2999195],"study_design_scores_gemma":[0.0005511213,0.00006470238,0.0007248478,0.00004252624,0.00001640518,0.00004531534,0.0004383551,0.1510717,0.0006993166,0.005219548,0.8408683,0.0002578848],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.259726,0.002444411,0.5591476,0.01662206,0.0005715288,0.0005123718,0.000002248875,0.0009143985,0.1600594],"genre_scores_gemma":[0.4322792,0.00003236213,0.2250496,0.009165415,0.0008702353,0.00006102019,0.000005527571,0.00006075766,0.3324758],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.5989108,"threshold_uncertainty_score":0.5673872,"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."}}