{"id":"W2988688088","doi":"10.24963/ijcai.2017/77","title":"Scalable Constraint-based Virtual Data Center Allocation","year":2017,"lang":"en","type":"article","venue":"","topic":"Software-Defined Networks and 5G","field":"Computer Science","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Scalability; Data center; Server; Distributed computing; Network topology; Bandwidth (computing); Constraint (computer-aided design); Solver; Computer network; Database; Engineering","routes":{"ca_aff":true,"ca_fund":true,"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":[0.001733677,0.0009580759,0.0006412459,0.0007822232,0.0008473578,0.001534552,0.002200952,0.0008675349,0.01032254],"category_scores_gemma":[0.004452624,0.000573519,0.0009828396,0.001486763,0.001118889,0.002671504,0.002410065,0.001791475,0.001001252],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001268953,"about_ca_system_score_gemma":0.003090824,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005893689,"about_ca_topic_score_gemma":0.01437881,"domain_scores_codex":[0.9985051,0.0005437241,0.00006409877,0.0002258361,0.0004689131,0.0001923153],"domain_scores_gemma":[0.9977896,0.001443386,0.0001129674,0.0003309373,0.0002500413,0.00007297881],"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":[0.0001272756,0.0001212362,0.000668042,0.0003892313,0.000111818,0.0001874404,0.0001165148,0.6835912,0.003917717,0.1491435,0.01296261,0.1486633],"study_design_scores_gemma":[0.0000436886,0.00002923448,0.00007761538,0.00002271223,0.00001653854,0.00004529658,0.00007629374,0.9374149,0.002139512,0.05099661,0.009126729,0.0000108816],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01074541,0.0003930198,0.9772639,0.0005799043,0.00006471725,0.0001765826,0.0003297036,0.001265666,0.009181099],"genre_scores_gemma":[0.2312785,0.0006870221,0.7611023,0.0003420385,0.00005837621,0.0003515882,0.0009782551,0.0004543204,0.004747582],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01032254,"threshold_uncertainty_score":0.03453237,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04979553850220549,"score_gpt":0.2816122721452572,"score_spread":0.2318167336430517,"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."}}