{"id":"W2905833213","doi":"10.1002/spe.2674","title":"Generic input template for cloud simulators: A case study of CloudSim","year":2018,"lang":"en","type":"article","venue":"Software Practice and Experience","topic":"Cloud Computing and Resource Management","field":"Computer Science","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Cloud computing; Software portability; Computer science; Interoperability; CloudSim; Cloud testing; Provisioning; Distributed computing; Orchestration; Service provider; Cloud computing security; Cloud management; Software deployment; Service (business); Software engineering; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004692229,0.0001671733,0.0002056223,0.00008087954,0.0004408604,0.0001428526,0.0004890778,0.00004724011,0.000002734498],"category_scores_gemma":[0.0006282376,0.0001462056,0.00004193308,0.0004286355,0.0001262392,0.0001733075,0.0006104461,0.00009183166,0.000005014106],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001807436,"about_ca_system_score_gemma":0.00003285149,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004651669,"about_ca_topic_score_gemma":0.00002007673,"domain_scores_codex":[0.9984725,0.0001047356,0.0003228627,0.0005456567,0.000257974,0.0002963374],"domain_scores_gemma":[0.9979651,0.0007731589,0.0002505516,0.0006567857,0.0002477655,0.0001066315],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0003765595,0.003121407,0.008095681,0.0002335975,0.0003392431,0.002536457,0.6489353,0.003700888,0.0002329898,0.002363157,0.0026812,0.3273835],"study_design_scores_gemma":[0.008362923,0.01695568,0.0008282615,0.0002416545,0.0003535825,0.008493591,0.3503011,0.3589143,0.002717371,0.001900006,0.2483827,0.002548799],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8048131,0.0001430278,0.1938819,0.0001475679,0.0004330822,0.0003850927,7.042382e-7,0.0001330378,0.00006254177],"genre_scores_gemma":[0.9508233,0.000004262668,0.04838442,0.0004111688,0.0002514445,0.00004807702,1.812552e-7,0.00001118004,0.0000659329],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3552134,"threshold_uncertainty_score":0.5962091,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03160463196324759,"score_gpt":0.3193023593495062,"score_spread":0.2876977273862587,"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."}}