{"id":"W4311235991","doi":"10.18280/mmep.090506","title":"Modeling Algorithms for Task Scheduling in Cloud Computing Using CloudSim","year":2022,"lang":"en","type":"article","venue":"Mathematical Modelling and Engineering Problems","topic":"Cloud Computing and Resource Management","field":"Computer Science","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"CloudSim; Cloud computing; Computer science; Job shop scheduling; Scheduling (production processes); Distributed computing; Virtual machine; Algorithm; Task (project management); Mathematical optimization; Operating system; Schedule; Mathematics; Engineering","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"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":[0.0007260854,0.0008060402,0.0008363226,0.0006260865,0.0007997691,0.001116573,0.001476685,0.0009282257,0.002523865],"category_scores_gemma":[0.002147717,0.0004826275,0.001313192,0.001094111,0.0002892938,0.0009124521,0.0008053531,0.001183675,0.0007975689],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001306108,"about_ca_system_score_gemma":0.002403381,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02325292,"about_ca_topic_score_gemma":0.01481782,"domain_scores_codex":[0.9995796,0.0001113175,0.00003156876,0.00005244026,0.0001616519,0.00006340662],"domain_scores_gemma":[0.9993906,0.0002681242,0.0000735573,0.00004162207,0.0001942249,0.00003194085],"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":[0.00001610242,0.00001374566,0.0002047181,0.00004343277,0.00001320552,0.000022222,0.00002123751,0.9878022,0.0004726515,0.005216896,0.0005960357,0.005577618],"study_design_scores_gemma":[0.000002291395,0.000003925212,0.00002536746,0.000003635611,0.000002203739,0.000004367134,0.000004221145,0.9983376,0.0001242762,0.0008631058,0.0006268626,0.000002036517],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01314279,0.0005268713,0.9779062,0.0003583386,0.0001373076,0.0001643329,0.0003398902,0.0009593781,0.006464859],"genre_scores_gemma":[0.4876063,0.001590152,0.5002597,0.0002113719,0.0001241714,0.001183969,0.00107574,0.0004814794,0.007467123],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02325292,"threshold_uncertainty_score":0.04623514,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04192785501711245,"score_gpt":0.2402392884524245,"score_spread":0.1983114334353121,"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."}}