{"id":"W4387164682","doi":"10.1109/tsc.2023.3320674","title":"Offloading Dependent Tasks in Edge Computing With Unknown System-Side Information","year":2023,"lang":"en","type":"article","venue":"IEEE Transactions on Services Computing","topic":"Advanced Bandit Algorithms Research","field":"Decision Sciences","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"Natural Science Foundation of Hunan Province; National Natural Science Foundation of China","keywords":"Computer science; Leverage (statistics); Dependency (UML); Task (project management); Artificial intelligence; Theoretical computer science; Machine learning; Algorithm","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":[0.001562982,0.001485543,0.001695125,0.0005113961,0.0009853683,0.001279632,0.001868331,0.001941594,0.003494079],"category_scores_gemma":[0.005757107,0.0007005275,0.0006191611,0.0008768644,0.001184173,0.00235313,0.001765148,0.001683078,0.0004661624],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009896891,"about_ca_system_score_gemma":0.00118318,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004502847,"about_ca_topic_score_gemma":0.004305833,"domain_scores_codex":[0.9988822,0.0002983419,0.00005165174,0.0002971643,0.0001781131,0.0002924398],"domain_scores_gemma":[0.9968349,0.002010192,0.0003382333,0.0002802956,0.0002896312,0.000246786],"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":[0.0003368875,0.0001258267,0.0007724902,0.00009724686,0.00003305296,0.0003094035,0.0001024993,0.9618682,0.003194441,0.008296115,0.001031952,0.02383202],"study_design_scores_gemma":[0.00001147078,0.00003936463,0.0002437057,0.000004775194,0.000008905435,0.00002869423,0.000027257,0.9927255,0.0007730239,0.00588264,0.0002474259,0.000007163242],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1315602,0.0004940108,0.8603375,0.0008395613,0.0001007769,0.0001323685,0.0001471912,0.0002721267,0.006116198],"genre_scores_gemma":[0.9371831,0.0002503367,0.05655172,0.0001726392,0.00008255654,0.0001214455,0.0001166423,0.00008815403,0.005433445],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004502847,"threshold_uncertainty_score":0.01168889,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04869230615834702,"score_gpt":0.3553354334982302,"score_spread":0.3066431273398832,"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."}}