{"id":"W4402046192","doi":"10.1145/3625549.3658661","title":"FaaSKeeper: Learning from Building Serverless Services with ZooKeeper as an Example","year":2024,"lang":"en","type":"article","venue":"","topic":"Cloud Computing and Resource Management","field":"Computer Science","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Computer science; Computer network","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":[0.003665004,0.001216785,0.000666079,0.0006600199,0.001655928,0.004115804,0.003497869,0.002026824,0.002704002],"category_scores_gemma":[0.006979681,0.0008594773,0.0009556595,0.0006389612,0.003730274,0.01510161,0.004454271,0.006704914,0.001779836],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001762849,"about_ca_system_score_gemma":0.00363273,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006006467,"about_ca_topic_score_gemma":0.004772017,"domain_scores_codex":[0.9977208,0.0005160854,0.00009989326,0.0004517658,0.0008269671,0.0003845112],"domain_scores_gemma":[0.9961056,0.000702526,0.0001936535,0.001510019,0.0006362553,0.0008519609],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0009380715,0.000838444,0.00549967,0.0008310472,0.0001598641,0.0008095555,0.003068966,0.06310229,0.04700336,0.5782186,0.04050665,0.2590235],"study_design_scores_gemma":[0.0002406738,0.0007911127,0.001126927,0.0002998967,0.000124296,0.0007911692,0.00114474,0.4680673,0.0457671,0.2673176,0.2141019,0.0002272738],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02939662,0.0007325695,0.944666,0.006588915,0.0003456037,0.0001885499,0.00007512981,0.007099709,0.01090692],"genre_scores_gemma":[0.3238566,0.001348533,0.6585438,0.002186059,0.0002074392,0.0001901156,0.0002720865,0.001981961,0.0114134],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006006467,"threshold_uncertainty_score":0.0193826,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01638388949200686,"score_gpt":0.2318049698262854,"score_spread":0.2154210803342785,"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."}}