{"id":"W4396709180","doi":"10.1145/3629527.3651845","title":"Analyzing Performance Variability in Alibaba's Microservice Architecture: A Critical-Path-Based Perspective","year":2024,"lang":"en","type":"article","venue":"","topic":"Software System Performance and Reliability","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Brock University","funders":"","keywords":"Computer science; Critical path method; Microservices; Perspective (graphical); Identification (biology); Distributed computing; Service (business); Path (computing); Architecture; Data science; Artificial intelligence; Computer network; Cloud computing; Systems engineering; Engineering; Operating system","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":[0.001475583,0.0006778209,0.0004295894,0.00155283,0.0004862452,0.0008204099,0.0008525589,0.0004306895,0.0003669952],"category_scores_gemma":[0.00611514,0.0002791739,0.0003302116,0.001280566,0.0005833488,0.001005165,0.0005463153,0.001094503,0.00007371221],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008703397,"about_ca_system_score_gemma":0.0009833848,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004339843,"about_ca_topic_score_gemma":0.003309686,"domain_scores_codex":[0.9986907,0.0002122156,0.00005276217,0.0003207182,0.000571693,0.0001519806],"domain_scores_gemma":[0.9937214,0.003571996,0.001039821,0.0007563413,0.0007458256,0.0001646262],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.0005738313,0.0003905504,0.1212428,0.0002262268,0.0002635793,0.0006888761,0.001296012,0.5833615,0.1422422,0.01128244,0.00101112,0.1374208],"study_design_scores_gemma":[0.000007620046,0.0001533486,0.02201039,0.0000105549,0.00003351954,0.0002364406,0.000151164,0.9400342,0.02990049,0.006595365,0.0008335879,0.00003340574],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6788309,0.0002958701,0.3179403,0.0001812841,0.00001632536,0.00005607849,0.0002066686,0.001506446,0.0009661091],"genre_scores_gemma":[0.9696003,0.00005147003,0.02990095,0.00002009699,0.000008709017,0.00003111326,0.0001398746,0.00007862273,0.0001688642],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004339843,"threshold_uncertainty_score":0.008629143,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008111408627868189,"score_gpt":0.2685495173318587,"score_spread":0.2604381087039905,"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."}}