{"id":"W2169133259","doi":"10.1109/noms.2008.4575243","title":"Policy-based dynamic provisioning in data centers based on SLAs, business rules and business objectives","year":2008,"lang":"en","type":"article","venue":"","topic":"Cloud Computing and Resource Management","field":"Computer Science","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"","keywords":"Computer science; Provisioning; Executable; Context (archaeology); Business rule; Business Process Execution Language; Set (abstract data type); Business process; Process management; Database; Business; Web service; Service-oriented architecture; Work in process; Operating system; World Wide Web","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":[0.003809136,0.0003005628,0.0006074634,0.0007377284,0.001522144,0.00540546,0.001289304,0.0009781417,0.001629469],"category_scores_gemma":[0.003552624,0.0005595624,0.0004725604,0.0008996933,0.002090749,0.003200872,0.001780679,0.001481731,0.000427673],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002762142,"about_ca_system_score_gemma":0.004008981,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007087343,"about_ca_topic_score_gemma":0.007119538,"domain_scores_codex":[0.9978777,0.0008597297,0.0001674803,0.0003170613,0.0004756174,0.0003023978],"domain_scores_gemma":[0.9981451,0.0008052348,0.000206023,0.0002794944,0.0003008118,0.0002633699],"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":[0.0004699628,0.0005041977,0.003604557,0.0002197417,0.00009378402,0.0008441102,0.002632741,0.3126049,0.01473037,0.5759059,0.004948478,0.08344135],"study_design_scores_gemma":[0.00004855856,0.00004653911,0.0007431969,0.00004818252,0.00003813616,0.0001179076,0.000414291,0.8320225,0.008808763,0.1442196,0.01344163,0.00005064512],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.08866327,0.0003809717,0.8827007,0.001951352,0.0001057392,0.0003806401,0.000119816,0.001937062,0.02376029],"genre_scores_gemma":[0.8062925,0.0002833607,0.1879497,0.0002048713,0.00004113448,0.000182579,0.0001226797,0.0001438548,0.00477925],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.007087343,"threshold_uncertainty_score":0.02014488,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01657493111286069,"score_gpt":0.2475208101254961,"score_spread":0.2309458790126354,"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."}}