{"id":"W3210140019","doi":"10.3390/electronics10212610","title":"Combining Distributed and Kernel Tracing for Performance Analysis of Cloud Applications","year":2021,"lang":"en","type":"article","venue":"Electronics","topic":"Software System Performance and Reliability","field":"Computer Science","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"Brock University; Polytechnique Montréal","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Tracing; Distributed computing; Cloud computing; Overhead (engineering); Latency (audio); Semaphore; Kernel (algebra); Real-time computing; Operating system","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0002861539,0.00007242835,0.0002164024,0.00006222275,0.0001320386,0.00003313836,0.0001973721,0.00004610673,0.000001453318],"category_scores_gemma":[0.00002702355,0.0000684968,0.0000833585,0.001049676,0.00002540137,0.0001407091,0.00005939237,0.00008028527,6.907514e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004644205,"about_ca_system_score_gemma":0.0001378175,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001748428,"about_ca_topic_score_gemma":0.0000120995,"domain_scores_codex":[0.9991894,0.00001985798,0.0002271933,0.00024589,0.0001074589,0.0002102288],"domain_scores_gemma":[0.9991973,0.0001290692,0.00009498197,0.0003783084,0.0001645375,0.00003578903],"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":[0.00007499733,0.000837535,0.3490662,0.001769599,0.003451839,0.000002934922,0.00476148,0.02899108,0.008829195,0.1490873,0.0005045228,0.4526232],"study_design_scores_gemma":[0.0008002602,0.000229461,0.05200847,0.00004178811,0.0004969817,0.00001613777,0.0001049482,0.896124,0.03073476,0.001981497,0.01710514,0.0003565767],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3895259,0.001978077,0.6081715,0.0000852698,0.0000396105,0.0001160872,0.00001016448,0.00004035426,0.00003303268],"genre_scores_gemma":[0.9944298,0.000332472,0.005055616,0.00002572041,0.00002088858,0.00005562638,0.00004780342,0.000003696028,0.00002842953],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8671329,"threshold_uncertainty_score":0.2793218,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00883797754730762,"score_gpt":0.2445096553661595,"score_spread":0.2356716778188519,"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."}}