{"id":"W3084109717","doi":"10.1109/tcomm.2020.3022692","title":"Virtual Service Placement for Edge Computing Under Finite Memory and Bandwidth","year":2020,"lang":"en","type":"article","venue":"IEEE Transactions on Communications","topic":"Caching and Content Delivery","field":"Computer Science","cited_by":23,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba","funders":"Fundamental Research Funds for the Central Universities; Natural Sciences and Engineering Research Council of Canada; National Natural Science Foundation of China","keywords":"Computer science; Throughput; Server; Bandwidth (computing); Edge computing; Enhanced Data Rates for GSM Evolution; Knapsack problem; Distributed computing; Computer network; Wireless; Service (business); Algorithm; Telecommunications","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":[0.0007885468,0.000918544,0.001097918,0.0005459865,0.0008427146,0.001254374,0.001641385,0.0008737194,0.001509651],"category_scores_gemma":[0.002669618,0.0004289287,0.0004081439,0.0008771723,0.000918516,0.001317566,0.001372767,0.0007763433,0.0002814104],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001460644,"about_ca_system_score_gemma":0.001553823,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004745303,"about_ca_topic_score_gemma":0.004536463,"domain_scores_codex":[0.9992791,0.0002199169,0.00003241842,0.0001338983,0.0001267816,0.0002079889],"domain_scores_gemma":[0.9991967,0.0003841561,0.00009671586,0.00009811776,0.0001030781,0.0001212515],"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":[0.0002704943,0.00007587702,0.0007025737,0.00004741081,0.00002305232,0.00009045523,0.00006370556,0.9487026,0.003605396,0.01235614,0.001265382,0.03279687],"study_design_scores_gemma":[0.000007546257,0.00003018244,0.0000575649,0.000002692005,0.000003513397,0.00002309597,0.00001781469,0.9940332,0.0008963261,0.004705678,0.000217959,0.000004424643],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.101867,0.000517194,0.8939539,0.0002033662,0.00007240451,0.00007243449,0.00006480786,0.0005414905,0.00270757],"genre_scores_gemma":[0.8752276,0.0001715553,0.1229492,0.00007591992,0.00002524956,0.00005047922,0.00006787567,0.00006754866,0.001364562],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004745303,"threshold_uncertainty_score":0.01059777,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06974632060964614,"score_gpt":0.2741229558407045,"score_spread":0.2043766352310584,"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."}}