{"id":"W2586830215","doi":"10.1016/j.jnca.2017.02.004","title":"Compatibility-based static VM placement minimizing interference","year":2017,"lang":"en","type":"article","venue":"Journal of Network and Computer Applications","topic":"Cloud Computing and Resource Management","field":"Computer Science","cited_by":23,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Manitoba","funders":"","keywords":"Computer science; CloudSim; Cloud computing; Scheduling (production processes); Virtual machine; Distributed computing; Cache; 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":[0.0006349419,0.001086859,0.001265269,0.001304308,0.001382003,0.001119294,0.001968017,0.000659802,0.004240399],"category_scores_gemma":[0.003046837,0.0004889491,0.0005280391,0.001556686,0.0004943633,0.001178181,0.00128087,0.0006849497,0.0007180473],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006361178,"about_ca_system_score_gemma":0.002597015,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00230872,"about_ca_topic_score_gemma":0.004962511,"domain_scores_codex":[0.9990554,0.0001885596,0.00004611536,0.0001608421,0.0003335874,0.0002154893],"domain_scores_gemma":[0.9986336,0.0004304104,0.0001342001,0.0002149403,0.0004160969,0.0001707953],"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":[0.001616324,0.0008670923,0.005997604,0.0002934576,0.0001358854,0.0004498718,0.0002110187,0.4952784,0.0529567,0.01831006,0.01234195,0.4115416],"study_design_scores_gemma":[0.00004939444,0.000239997,0.001064039,0.00001107026,0.00005045683,0.0002344882,0.0000838397,0.9854937,0.00508064,0.006494216,0.001175621,0.00002258705],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1838812,0.0007862882,0.7956438,0.0003828056,0.0005217155,0.0002347574,0.0001715351,0.002224308,0.01615355],"genre_scores_gemma":[0.876916,0.0001331005,0.1200797,0.0001014102,0.00008972353,0.00004569381,0.0001453637,0.000137208,0.002351895],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004240399,"threshold_uncertainty_score":0.01418555,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02321916680045157,"score_gpt":0.269333514225812,"score_spread":0.2461143474253604,"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."}}