{"id":"W2751980972","doi":"10.3390/fi9030050","title":"ARAAC: A Rational Allocation Approach in Cloud Data Center Networks","year":2017,"lang":"en","type":"article","venue":"Future Internet","topic":"Cloud Computing and Resource Management","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University","funders":"","keywords":"Cloud computing; Computer science; Service provider; Data center; Reputation; Profit (economics); Computer security; Cloud service provider; Service (business); Cloud computing security; Computer network; Business; Marketing; Microeconomics","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":[0.005420737,0.001206751,0.001621045,0.0011661,0.001662465,0.003833536,0.004008743,0.002194616,0.00685566],"category_scores_gemma":[0.00761616,0.0006724973,0.001292137,0.001536138,0.002233171,0.003696021,0.003269242,0.002729373,0.0009817937],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004165229,"about_ca_system_score_gemma":0.004097235,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005688517,"about_ca_topic_score_gemma":0.00488822,"domain_scores_codex":[0.9951448,0.002320747,0.0001510468,0.0006947325,0.001040801,0.0006479913],"domain_scores_gemma":[0.9969638,0.001602572,0.0002804086,0.0002746679,0.0005180465,0.0003605892],"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":[0.000240813,0.0001573783,0.0004898714,0.0001635165,0.00008600155,0.0002183873,0.0002287599,0.5670101,0.001611698,0.3797877,0.004977573,0.04502811],"study_design_scores_gemma":[0.00003080009,0.00005406254,0.00008102092,0.00001898125,0.00001887819,0.00006711101,0.00005398475,0.9285005,0.0003312416,0.06622358,0.004597528,0.00002225011],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.008242673,0.0004917458,0.97691,0.000759327,0.0001226068,0.0002763368,0.00007305637,0.000352459,0.01277182],"genre_scores_gemma":[0.6996814,0.0008643302,0.285272,0.0004937705,0.0002661085,0.0005009759,0.0001219183,0.000210291,0.01258918],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00685566,"threshold_uncertainty_score":0.03022105,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02706291928268722,"score_gpt":0.2588035142180112,"score_spread":0.231740594935324,"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."}}