{"id":"W4404363635","doi":"10.48550/arxiv.2411.03645","title":"Exploiting Stragglers in Distributed Computing Systems with Task Grouping","year":2024,"lang":"en","type":"preprint","venue":"arXiv (Cornell University)","topic":"Data Stream Mining Techniques","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada; Alliance de recherche numérique du Canada; Compute Canada","keywords":"Computer science; Task (project management); Engineering","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004204487,0.001227718,0.001932912,0.002531288,0.002454778,0.002092096,0.003111997,0.001299959,0.0008460916],"category_scores_gemma":[0.0143245,0.001024975,0.001046452,0.003720111,0.001753223,0.004175601,0.002962471,0.001687201,0.0004581938],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001167342,"about_ca_system_score_gemma":0.002133854,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003931445,"about_ca_topic_score_gemma":0.003300414,"domain_scores_codex":[0.9962873,0.001014759,0.0003375082,0.0008301151,0.001066694,0.000463566],"domain_scores_gemma":[0.9885783,0.004510387,0.00184582,0.003333055,0.001044905,0.0006874482],"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":[0.001218229,0.0007704807,0.01928596,0.0007210482,0.0003883162,0.001310666,0.00286422,0.6539656,0.03448244,0.02406122,0.004673641,0.2562582],"study_design_scores_gemma":[0.00007223411,0.0004344573,0.001945119,0.00004319001,0.00009748198,0.0003751295,0.0004999371,0.9388119,0.01124581,0.04001985,0.006399875,0.00005506025],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1705346,0.001676316,0.8232129,0.0006928844,0.0001791631,0.0002920932,0.000130943,0.001859729,0.001421408],"genre_scores_gemma":[0.7492295,0.0006768985,0.2472707,0.0001861741,0.0001756477,0.0002606675,0.0002370729,0.0002395596,0.001723714],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004204487,"threshold_uncertainty_score":0.02223569,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06460710528590022,"score_gpt":0.1905453180679069,"score_spread":0.1259382127820067,"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."}}