{"id":"W3029577491","doi":"10.4236/cn.2020.122005","title":"Prediction-Based Resource Assignment Scheme to Maximize the Net Profit of Cloud Service Providers","year":2020,"lang":"en","type":"article","venue":"Communications and Network","topic":"Cloud Computing and Resource Management","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"","keywords":"Cloud computing; CloudSim; Computer science; Profit (economics); Service provider; Cloud service provider; Resource (disambiguation); Scheme (mathematics); Operations research; Service (business); Computer network; Cloud computing security; Microeconomics; Marketing; Business; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001564714,0.0009488201,0.001278118,0.000475473,0.0006666895,0.001006612,0.002186142,0.0009076089,0.002065107],"category_scores_gemma":[0.003703895,0.0003534581,0.0003914725,0.001021751,0.0005962285,0.001922688,0.0009967914,0.001229233,0.0003812638],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001406316,"about_ca_system_score_gemma":0.00164507,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003656815,"about_ca_topic_score_gemma":0.004061352,"domain_scores_codex":[0.9989119,0.0003039522,0.00004785879,0.0002737763,0.0002306563,0.0002319155],"domain_scores_gemma":[0.9986026,0.0006298686,0.0002467679,0.0001483876,0.0002408215,0.000131551],"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":[0.0002219346,0.0001482308,0.001041034,0.00006121201,0.000036179,0.00006820422,0.00006393893,0.9257879,0.00423312,0.009046477,0.002302326,0.05698938],"study_design_scores_gemma":[0.000003983339,0.0000282477,0.0001161891,0.000002718801,0.000005838707,0.00001421186,0.000006739861,0.997154,0.0006050504,0.001907063,0.0001511978,0.000004760817],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.05073857,0.0003180096,0.9446685,0.0004964533,0.0000694276,0.0001611233,0.00009812472,0.0006735552,0.002776345],"genre_scores_gemma":[0.9534081,0.0001515662,0.04432797,0.0001211923,0.00005056109,0.00008786272,0.00006210455,0.00003938746,0.001751255],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003656815,"threshold_uncertainty_score":0.01020354,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04198334772031228,"score_gpt":0.2372517358359883,"score_spread":0.195268388115676,"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."}}