{"id":"W2787657548","doi":"10.1364/jocn.10.000114","title":"Energy-Efficient Service Function Chain Provisioning","year":2018,"lang":"en","type":"article","venue":"Journal of Optical Communications and Networking","topic":"Software-Defined Networks and 5G","field":"Computer Science","cited_by":34,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"Natural Sciences and Engineering Research Council of Canada; Mitacs; Agence Nationale de la Recherche","keywords":"Computer science; Virtual network; Integer programming; Software-defined networking; Distributed computing; Computer network; Network Functions Virtualization; Virtualization; Provisioning; Linear programming; Cloud computing; Operating system","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":[0.0006201885,0.0007301759,0.0005423176,0.0003767548,0.0006052782,0.0009376616,0.0007734277,0.0005904416,0.003703743],"category_scores_gemma":[0.001498957,0.000311344,0.000421358,0.0006230028,0.0004296639,0.00131377,0.0007691947,0.0008555378,0.0003887444],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001018067,"about_ca_system_score_gemma":0.001360969,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002767076,"about_ca_topic_score_gemma":0.004225903,"domain_scores_codex":[0.9995003,0.0001414516,0.00001575805,0.0000657202,0.0001365727,0.0001402229],"domain_scores_gemma":[0.9995171,0.0002352345,0.00005225826,0.00007304578,0.00007736554,0.00004500143],"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":[0.00005629892,0.00007269533,0.0003448243,0.00005870644,0.000009579294,0.00007627085,0.00003709941,0.9409621,0.006955427,0.01632732,0.001401188,0.03369843],"study_design_scores_gemma":[0.000004584345,0.00001771426,0.00007632069,0.00000483901,0.000002673321,0.00002004077,0.00002189494,0.9919556,0.00153073,0.005541874,0.0008212434,0.00000249214],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.083255,0.000234608,0.9042048,0.0004232608,0.00004733793,0.0001133236,0.0001475373,0.0004399252,0.0111342],"genre_scores_gemma":[0.8371643,0.0002384827,0.1588769,0.00006747736,0.00001780023,0.0000882126,0.0002486174,0.00009859521,0.003199491],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003703743,"threshold_uncertainty_score":0.01239026,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0295675034413371,"score_gpt":0.2599513586803308,"score_spread":0.2303838552389937,"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."}}