{"id":"W1966303601","doi":"10.1109/scc.2013.83","title":"Data Decomposition Based Partial Replication Model for Software Services","year":2013,"lang":"en","type":"article","venue":"","topic":"Cloud Computing and Resource Management","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"Natural Sciences and Engineering Research Council of Canada; Commonwealth Scientific and Industrial Research Organisation","keywords":"Computer science; Replication (statistics); Cloud computing; Scalability; Server; Distributed computing; Software; Workload; Decomposition; Database; Operating system","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":[0.002572234,0.000972764,0.001054579,0.001078742,0.0008116277,0.002030786,0.002559527,0.001020034,0.003076455],"category_scores_gemma":[0.005159422,0.0007094929,0.001758762,0.001472669,0.0009925687,0.003514408,0.001766347,0.00137128,0.0009234475],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002043916,"about_ca_system_score_gemma":0.002166475,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007334789,"about_ca_topic_score_gemma":0.004747819,"domain_scores_codex":[0.9975343,0.0007234377,0.0002295128,0.0004688158,0.00073078,0.000313224],"domain_scores_gemma":[0.9969734,0.0009674844,0.0002730184,0.0007587404,0.0007964942,0.0002308966],"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":[0.0003324457,0.0001312261,0.001109088,0.0002859908,0.00007602652,0.0003203676,0.0004468354,0.765111,0.01384294,0.1411047,0.00388628,0.07335307],"study_design_scores_gemma":[0.00001630929,0.00003282072,0.00006668048,0.000008129109,0.00001299449,0.00006932091,0.00003143697,0.9796275,0.001241379,0.01694232,0.001940385,0.00001067335],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01372886,0.000154378,0.9833023,0.0002171115,0.00003439491,0.0001113431,0.0001493055,0.0005571551,0.001745122],"genre_scores_gemma":[0.4780142,0.0004381672,0.51245,0.0001452942,0.00007274398,0.0005367584,0.0006898664,0.0002535564,0.007399493],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.007334789,"threshold_uncertainty_score":0.01482975,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03954393753563535,"score_gpt":0.2928353418350784,"score_spread":0.2532914042994431,"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."}}