{"id":"W2216734013","doi":"10.1016/j.comnet.2015.08.030","title":"Modeling of the resource allocation in cloud computing centers","year":2015,"lang":"en","type":"article","venue":"Computer Networks","topic":"Cloud Computing and Resource Management","field":"Computer Science","cited_by":69,"is_retracted":false,"has_abstract":false,"ca_institutions":"Concordia University","funders":"","keywords":"Computer science; Cloud computing; Job queue; Distributed computing; Variable (mathematics); Service (business); Task (project management); Constant (computer programming); Virtual machine; Poisson distribution; Resource allocation; Job scheduler; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009716603,0.0007502461,0.001348442,0.0006584197,0.0009736514,0.00248839,0.002546592,0.001978848,0.004744421],"category_scores_gemma":[0.002773991,0.0008573229,0.000909351,0.001214001,0.001123807,0.001745877,0.001155485,0.00131541,0.0005885594],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003168412,"about_ca_system_score_gemma":0.003583909,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05557537,"about_ca_topic_score_gemma":0.02015368,"domain_scores_codex":[0.9992502,0.0002500677,0.00002463407,0.0001047163,0.0001529552,0.0002172903],"domain_scores_gemma":[0.999184,0.0003879684,0.00008778531,0.00004017364,0.0001841273,0.0001160196],"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":[0.00001564319,0.00001451247,0.0001983941,0.00001438769,0.000006139667,0.00002452761,0.0000149991,0.9855054,0.0002085479,0.01265993,0.000431709,0.0009058856],"study_design_scores_gemma":[0.000002756148,0.00000263487,0.0000636344,0.000001885963,0.000002131997,0.000003259152,0.000006260791,0.9981489,0.00003602473,0.001543771,0.0001867916,0.000001961933],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1949949,0.002510117,0.7215277,0.004292771,0.000442392,0.0002770552,0.001018434,0.0005354786,0.07440118],"genre_scores_gemma":[0.9623575,0.0009742144,0.0176126,0.0001899837,0.000120269,0.0001713594,0.0002274774,0.0001398527,0.01820679],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.05557537,"threshold_uncertainty_score":0.1105038,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02296413607598541,"score_gpt":0.2258155228190719,"score_spread":0.2028513867430864,"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."}}