{"id":"W2810610216","doi":"10.1287/isre.2017.0755","title":"Service Agreement Trifecta: Backup Resources, Price and Penalty in the Availability-Aware Cloud","year":2018,"lang":"en","type":"article","venue":"Information Systems Research","topic":"Cloud Computing and Resource Management","field":"Computer Science","cited_by":34,"is_retracted":false,"has_abstract":true,"ca_institutions":"Brock University","funders":"","keywords":"Backup; Provisioning; Computer science; Service-level agreement; Cloud computing; Service provider; Schedule; Service (business); Operations research; Computer network; Business; Database; Mathematics; 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":[0.003230927,0.0007453731,0.001022973,0.0007596503,0.001069436,0.002358029,0.001638439,0.001727866,0.00417547],"category_scores_gemma":[0.008446693,0.0005760962,0.001082277,0.001190846,0.001921577,0.003038297,0.001607253,0.003629837,0.0004968544],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002566187,"about_ca_system_score_gemma":0.003599843,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00821827,"about_ca_topic_score_gemma":0.005267989,"domain_scores_codex":[0.9979551,0.001008474,0.00005788921,0.0003011601,0.0004518944,0.0002253757],"domain_scores_gemma":[0.9967859,0.002312842,0.0003012663,0.0001672433,0.0002624603,0.0001702836],"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":[0.0001492357,0.00008866681,0.001049065,0.00008783714,0.00002389717,0.0002427383,0.0001663703,0.668641,0.001316692,0.3021237,0.00199476,0.02411594],"study_design_scores_gemma":[0.000007594797,0.00002743994,0.0001362934,0.00000692347,0.000006033795,0.0000532093,0.00003169731,0.9705604,0.0001847778,0.02815769,0.0008169773,0.00001091971],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.05482391,0.0005346794,0.9288617,0.0015244,0.0001084109,0.0001469817,0.0001457424,0.0002710696,0.01358313],"genre_scores_gemma":[0.8989968,0.0004310466,0.0940891,0.0002211593,0.00007725719,0.0001898195,0.0001224813,0.00009605612,0.005776279],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00821827,"threshold_uncertainty_score":0.01861906,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05081518565495378,"score_gpt":0.3157800030503441,"score_spread":0.2649648173953903,"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."}}