{"id":"W2767696751","doi":"10.48550/arxiv.1711.03204","title":"Elascale: Autoscaling and Monitoring as a Service","year":2017,"lang":"en","type":"preprint","venue":"arXiv (Cornell University)","topic":"Software System Performance and Reliability","field":"Computer Science","cited_by":27,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Computer science; Scalability; Cloud computing; Provisioning; Microservices; Distributed computing; Software; Operating system; Database","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":[0.001801357,0.001319694,0.0005650772,0.001027036,0.0005750481,0.001936743,0.002534723,0.000683432,0.003173881],"category_scores_gemma":[0.005604934,0.0006211779,0.000576534,0.0008553467,0.0009707822,0.003413579,0.002732114,0.001828584,0.001596481],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008177178,"about_ca_system_score_gemma":0.000933863,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00440611,"about_ca_topic_score_gemma":0.002507463,"domain_scores_codex":[0.9980025,0.0002484998,0.0001171926,0.0003770655,0.001013991,0.0002407856],"domain_scores_gemma":[0.996792,0.0006497603,0.0002427654,0.001463965,0.0006156458,0.0002358318],"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":[0.001295871,0.0006042143,0.01926936,0.0006520129,0.0004063673,0.001197133,0.001217946,0.1702522,0.13279,0.0498228,0.1070192,0.5154728],"study_design_scores_gemma":[0.000109489,0.0001898482,0.003867163,0.00007558781,0.00007342379,0.0004794339,0.0001499904,0.7895772,0.09783444,0.02304328,0.08441847,0.0001816955],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.07899818,0.001588833,0.6672688,0.001284681,0.0005596768,0.0004397594,0.0009482259,0.2277818,0.02112995],"genre_scores_gemma":[0.7987514,0.0008780312,0.1803879,0.0009158074,0.0002128976,0.0003529117,0.001979268,0.008393849,0.008127943],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.00440611,"threshold_uncertainty_score":0.01061773,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06838411480516778,"score_gpt":0.2080750541583241,"score_spread":0.1396909393531564,"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."}}