{"id":"W2885027492","doi":"10.1002/ett.3504","title":"EdgePlace: Availability‐aware placement for chained mobile edge applications","year":2018,"lang":"en","type":"article","venue":"Transactions on Emerging Telecommunications Technologies","topic":"IoT and Edge/Fog Computing","field":"Computer Science","cited_by":18,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"","keywords":"Computer science; Cloud computing; Virtualization; Mobile edge computing; Virtual network; Distributed computing; Enhanced Data Rates for GSM Evolution; Virtual machine; Bandwidth (computing); Computer network; Host (biology); Network virtualization; Cellular network; Operating system; Telecommunications","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":[0.0004999831,0.0007181023,0.0006449767,0.0005643847,0.0006361873,0.0008249895,0.001339662,0.0008326708,0.003365661],"category_scores_gemma":[0.001346758,0.0004041383,0.0004203888,0.0005816472,0.0004111887,0.0007773279,0.00118348,0.0006088498,0.0004359502],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009034236,"about_ca_system_score_gemma":0.001226621,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004684807,"about_ca_topic_score_gemma":0.006106101,"domain_scores_codex":[0.9996527,0.00007177267,0.0000169683,0.00007602192,0.00009012162,0.00009242717],"domain_scores_gemma":[0.9995016,0.0001454108,0.0000920847,0.00008046062,0.00009059354,0.00008985117],"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":[0.0001780976,0.000106596,0.001273322,0.00006620502,0.00002634408,0.0001700134,0.00004419691,0.928241,0.005267101,0.007181904,0.003320777,0.05412454],"study_design_scores_gemma":[0.000007267673,0.00003128637,0.00008274348,0.000003171222,0.000003300582,0.00002694159,0.000010364,0.9973112,0.0005882385,0.001436704,0.0004949309,0.000003867865],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.09096001,0.0004927323,0.9001831,0.0004649189,0.0001845946,0.0001661019,0.000175571,0.002300193,0.005072718],"genre_scores_gemma":[0.8702978,0.0001425989,0.1266962,0.00009009938,0.00003660305,0.00006517656,0.0001241665,0.00009498575,0.002452374],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004684807,"threshold_uncertainty_score":0.01125926,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02082225023158949,"score_gpt":0.2917117003882933,"score_spread":0.2708894501567038,"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."}}