{"id":"W2166851328","doi":"10.1109/hpcc.2012.49","title":"Cloud Resource Provisioning to Extend the Capacity of Local Resources in the Presence of Failures","year":2012,"lang":"en","type":"article","venue":"","topic":"Cloud Computing and Resource Management","field":"Computer Science","cited_by":24,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba","funders":"","keywords":"Provisioning; Cloud computing; Computer science; Distributed computing; Scheduling (production processes); Probabilistic logic; Virtual machine; Resource (disambiguation); Computer network; Operating system; Mathematical optimization","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":[0.001627084,0.000455254,0.0006513871,0.0002739086,0.000777513,0.0009849379,0.001230214,0.0006696114,0.0009702058],"category_scores_gemma":[0.00341359,0.0002309212,0.0003523974,0.0004991114,0.0008784851,0.002009836,0.001087889,0.0007962256,0.0001467063],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007893919,"about_ca_system_score_gemma":0.001154415,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003360039,"about_ca_topic_score_gemma":0.002390741,"domain_scores_codex":[0.9992494,0.000211336,0.00002333386,0.0001331128,0.0001563447,0.000226529],"domain_scores_gemma":[0.9977955,0.001234252,0.0002913974,0.0003103338,0.0001937875,0.0001748185],"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":[0.0001154243,0.00006634181,0.002876141,0.00009414247,0.00005052027,0.0003810433,0.0001452614,0.9417517,0.0115899,0.01596957,0.0009069787,0.02605311],"study_design_scores_gemma":[0.000009298074,0.00006120236,0.0007543251,0.000008480967,0.00001994175,0.0001150142,0.0001003609,0.9895377,0.003223118,0.00496913,0.001189501,0.00001188557],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4561889,0.001201953,0.5345175,0.00103665,0.0001125029,0.0001129193,0.00006644796,0.0005232267,0.006239892],"genre_scores_gemma":[0.9876273,0.0001534114,0.01160713,0.00003683692,0.00003216849,0.00001781028,0.00001381906,0.00002565136,0.0004858636],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003360039,"threshold_uncertainty_score":0.008604944,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01836110564006857,"score_gpt":0.2386246794723196,"score_spread":0.2202635738322511,"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."}}