{"id":"W4399042434","doi":"10.1007/978-3-031-58453-4_3","title":"Nonlinear Online Incentive Mechanism Design: Case Study of Edge Computing with Energy Budget","year":2024,"lang":"en","type":"book-chapter","venue":"SpringerBriefs in computer science","topic":"IoT and Edge/Fog Computing","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Concordia University","funders":"","keywords":"Mechanism (biology); Incentive; Mechanism design; Nonlinear system; Computer science; Enhanced Data Rates for GSM Evolution; Distributed computing; Microeconomics; Economics; Telecommunications; Physics","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":[0.003589524,0.0007137818,0.001049645,0.0004616221,0.0008901877,0.00198044,0.002232373,0.002852022,0.008707655],"category_scores_gemma":[0.007996346,0.0004472425,0.0008526133,0.0008900368,0.00113854,0.003016643,0.001262848,0.001582303,0.0004473274],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001889682,"about_ca_system_score_gemma":0.001399046,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003192515,"about_ca_topic_score_gemma":0.002854805,"domain_scores_codex":[0.9986798,0.0007586798,0.00003730982,0.0001515037,0.0001474332,0.0002253022],"domain_scores_gemma":[0.9933646,0.005438088,0.0002321823,0.0003383279,0.0003237399,0.0003030534],"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":[0.001221187,0.001499886,0.003050055,0.0005695882,0.0001366024,0.001642986,0.0003611426,0.7033373,0.004034227,0.2028898,0.006390131,0.0748672],"study_design_scores_gemma":[0.0002468907,0.0003577435,0.0006989937,0.00002822317,0.0000476081,0.000337583,0.0002116656,0.9416245,0.001268852,0.0519361,0.003211273,0.00003060565],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3738369,0.001224989,0.5607608,0.002504353,0.0001645705,0.0008946598,0.0004076376,0.0003841125,0.05982196],"genre_scores_gemma":[0.9317209,0.0003314148,0.05217497,0.0001209654,0.00003398652,0.0001828188,0.00006282035,0.00004092651,0.01533126],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.008707655,"threshold_uncertainty_score":0.02912998,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02751484234601708,"score_gpt":0.2581116110773942,"score_spread":0.2305967687313771,"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."}}