{"id":"W2545790609","doi":"10.1109/icpp.2014.50","title":"A Constraint Programming-Based Resource Management Technique for Processing MapReduce Jobs with SLAs on Clouds","year":2014,"lang":"en","type":"article","venue":"","topic":"Cloud Computing and Resource Management","field":"Computer Science","cited_by":18,"is_retracted":false,"has_abstract":true,"ca_institutions":"Huawei Technologies (Canada); Carleton University","funders":"Government of Ontario","keywords":"Computer science; Workflow; Cloud computing; Service-level agreement; Scheduling (production processes); Distributed computing; Popularity; Resource management (computing); Resource (disambiguation); Service level; Database; Operating system; Computer network","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":[0.0008502921,0.000272606,0.000215279,0.000182581,0.0003110189,0.0003477144,0.0009189718,0.00006205747,0.000002773599],"category_scores_gemma":[0.00001604346,0.0001996846,0.00007958911,0.0004752245,0.0001090507,0.00001878593,0.0002268043,0.0001461632,0.000007736221],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006703031,"about_ca_system_score_gemma":0.00004038491,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00000645151,"about_ca_topic_score_gemma":0.000003003792,"domain_scores_codex":[0.9979661,0.00007392385,0.0002677527,0.000748028,0.0004135451,0.000530636],"domain_scores_gemma":[0.9987857,0.0001157388,0.0001419757,0.0007548348,0.00007875224,0.0001229764],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00007532865,0.0003521697,0.00007081344,0.0004623444,0.00004813585,0.00001452732,0.0001925469,0.02253284,0.00009054034,0.1780543,0.00154664,0.7965598],"study_design_scores_gemma":[0.002249752,0.002198602,0.000241538,0.0009408137,0.00005220404,0.00002731859,0.0003027966,0.5185395,0.005123946,0.001951085,0.4674938,0.0008786505],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.002125266,0.000009694636,0.9559675,0.002004925,0.00005152349,0.001609155,4.542308e-7,0.0007628194,0.03746868],"genre_scores_gemma":[0.5021099,6.612432e-8,0.4950104,0.001110864,0.00006919374,0.0004216635,0.000001932448,0.00002221482,0.001253763],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.7956812,"threshold_uncertainty_score":0.81429,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01096402847167641,"score_gpt":0.232931715292459,"score_spread":0.2219676868207826,"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."}}