{"id":"W3196314345","doi":"10.1109/icecce52056.2021.9514081","title":"Performance Analysis of Serverless Execution Environments","year":2021,"lang":"en","type":"article","venue":"2021 International Conference on Electrical, Communication, and Computer Engineering (ICECCE)","topic":"Cloud Computing and Resource Management","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"","keywords":"Computer science; Container (type theory); Consistency (knowledge bases); Cloud computing; Abstraction; Focus (optics); Code (set theory); Interpreter; Distributed computing; Programming language; Execution model; Function (biology); 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":[0.003694771,0.001206417,0.0007317537,0.001364307,0.0008309952,0.001885774,0.002053241,0.0006773546,0.001699221],"category_scores_gemma":[0.01424358,0.0004978831,0.0004682058,0.001667329,0.001423992,0.002554293,0.001190558,0.00135258,0.0005271871],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001630951,"about_ca_system_score_gemma":0.001829552,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003291842,"about_ca_topic_score_gemma":0.001485323,"domain_scores_codex":[0.9944367,0.001245317,0.0003335865,0.0007461461,0.002059299,0.001178921],"domain_scores_gemma":[0.9827647,0.007563,0.002062176,0.00351056,0.003082383,0.00101726],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.005176553,0.001418622,0.04758408,0.0005444608,0.000268914,0.0008241358,0.0009290696,0.7322531,0.1119748,0.01765784,0.004424117,0.07694417],"study_design_scores_gemma":[0.00007335949,0.0008621315,0.00977725,0.00002071316,0.00005194367,0.0001590856,0.0002109336,0.9369268,0.04858351,0.002268666,0.001021381,0.00004432909],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9784846,0.000259243,0.01652742,0.00009836489,0.00002481969,0.00004412907,0.0001648712,0.001595645,0.002800813],"genre_scores_gemma":[0.9936376,0.00006930227,0.005352038,0.00002222554,0.000009248158,0.00002193662,0.0002582001,0.0002043926,0.000425163],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003694771,"threshold_uncertainty_score":0.01954007,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01384872008749586,"score_gpt":0.2227891654024818,"score_spread":0.2089404453149859,"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."}}