{"id":"W4234370942","doi":"10.22215/etd/2016-11510","title":"A Self-Adaptive Auto-Scaling System in Infrastructure-as-a-Service Layer of Cloud Computing","year":2016,"lang":"en","type":"dissertation","venue":"","topic":"Data Stream Mining Techniques","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"","keywords":"Cloud computing; Computer science; Provisioning; Scalability; Distributed computing; Elasticity (physics); Database; Computer network; 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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0005330773,0.0004247135,0.0006680395,0.0004911565,0.00007228939,0.0001126882,0.002262497,0.0004556668,0.00001196634],"category_scores_gemma":[0.00004818639,0.0003520387,0.00009716878,0.0007315926,0.00001481603,0.0003951298,0.0004665675,0.0003881254,0.00004191353],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002966755,"about_ca_system_score_gemma":0.0003959574,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001092875,"about_ca_topic_score_gemma":0.0002385337,"domain_scores_codex":[0.9972804,0.0001332359,0.000845122,0.0007985021,0.0005307923,0.0004119204],"domain_scores_gemma":[0.9975258,0.0002600402,0.0007437482,0.001028565,0.0003573092,0.00008459841],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001657127,0.0002369057,0.001102034,0.004817363,0.0003881075,0.0001700382,0.03261412,0.00005896609,0.004503659,0.8066651,0.002653201,0.1466248],"study_design_scores_gemma":[0.00362362,0.000985429,0.02459081,0.03221943,0.0002585988,0.0002660862,0.01467129,0.7150289,0.1778611,0.02081168,0.004137331,0.005545651],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2134894,0.0002373298,0.6043447,0.0001246239,0.003528119,0.001906318,0.00010567,0.005602794,0.1706611],"genre_scores_gemma":[0.6413026,0.00000668491,0.3582044,0.00007452794,0.0000881736,0.00001793455,0.00008069292,0.00003968112,0.0001852364],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.7858534,"threshold_uncertainty_score":0.9998932,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01127537336292996,"score_gpt":0.2635721629321995,"score_spread":0.2522967895692695,"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."}}