{"id":"W2049096082","doi":"10.1007/s10586-008-0059-6","title":"Translating Service Level Objectives to lower level policies for multi-tier services","year":2008,"lang":"en","type":"article","venue":"Cluster Computing","topic":"Cloud Computing and Resource Management","field":"Computer Science","cited_by":44,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University","funders":"","keywords":"Computer science; Service-level agreement; Service level objective; Service level; Service (business); Domain (mathematical analysis); Service provider; Quality (philosophy); Quality of service; Service design; Process management; Software engineering; Computer network","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":[0.005993403,0.0009049782,0.001097646,0.001157695,0.0008233971,0.00701516,0.001164906,0.001425852,0.005104035],"category_scores_gemma":[0.01674911,0.0007575037,0.0009808177,0.00116602,0.001522069,0.003735046,0.001890627,0.004233899,0.001347499],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00379438,"about_ca_system_score_gemma":0.004756064,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005709994,"about_ca_topic_score_gemma":0.00627646,"domain_scores_codex":[0.9953034,0.001632576,0.0003403148,0.000399698,0.001481657,0.0008423543],"domain_scores_gemma":[0.9922066,0.003801958,0.0007030468,0.0009298708,0.00197784,0.0003806192],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0003692491,0.000509968,0.003290922,0.0004151871,0.0001027354,0.0002400437,0.0007096347,0.5772398,0.01044118,0.3025581,0.005810678,0.09831256],"study_design_scores_gemma":[0.00002715553,0.00004968547,0.0003992063,0.00006022552,0.00002760846,0.00001797118,0.0001492176,0.8823417,0.005353727,0.1088791,0.00267211,0.00002236403],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.05387767,0.000228089,0.925041,0.001880654,0.0002627159,0.0003469775,0.000387473,0.001662674,0.01631274],"genre_scores_gemma":[0.7510997,0.0002300746,0.2439125,0.0004511196,0.00009894773,0.0001944043,0.0003292535,0.0004947998,0.003189243],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00701516,"threshold_uncertainty_score":0.0316965,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09111181423032377,"score_gpt":0.2979178296390462,"score_spread":0.2068060154087225,"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."}}