{"id":"W2577618861","doi":"10.1109/ism.2016.0124","title":"Datacenter Traffic Shaping for Delay Reduction in Cloud Gaming","year":2016,"lang":"en","type":"article","venue":"","topic":"Cloud Computing and Resource Management","field":"Computer Science","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"","keywords":"Computer science; Cloud computing; Jitter; Bandwidth (computing); Computer network; Quality of service; Network packet; Bandwidth allocation; Dynamic bandwidth allocation; Quality of experience; Network delay; Real-time computing; Telecommunications; Operating system","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":[0.0007445205,0.0006507281,0.0004850525,0.0007307307,0.0007948701,0.0008042127,0.001133514,0.0003602548,0.0007494825],"category_scores_gemma":[0.001679386,0.0002183484,0.0002439247,0.0006602578,0.0003876505,0.0006323999,0.0006569411,0.0004799263,0.0001588746],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001594083,"about_ca_system_score_gemma":0.001365799,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003199478,"about_ca_topic_score_gemma":0.003543869,"domain_scores_codex":[0.9993834,0.0001408479,0.00002695612,0.0001297057,0.0001768565,0.0001422005],"domain_scores_gemma":[0.9990853,0.0003102222,0.0001327768,0.0001151117,0.0002525097,0.0001040274],"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":[0.0008687189,0.0006087013,0.004998825,0.0001830799,0.00006525552,0.0002699599,0.0002927456,0.4300133,0.1595881,0.01496978,0.00284656,0.385295],"study_design_scores_gemma":[0.00001307327,0.00008258876,0.0005949959,0.000007327625,0.00001600696,0.00006519746,0.00003776396,0.9744468,0.02145028,0.002274554,0.0009996435,0.00001178026],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1765098,0.0006056182,0.8177025,0.0001934131,0.000108445,0.000106242,0.00004936229,0.001072612,0.003652091],"genre_scores_gemma":[0.9644831,0.0001080453,0.03472587,0.0000552556,0.00002003093,0.00002197354,0.00002430376,0.00003546551,0.0005259707],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003199478,"threshold_uncertainty_score":0.01156592,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03272853064260936,"score_gpt":0.2577605320783496,"score_spread":0.2250320014357402,"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."}}