{"id":"W1567216278","doi":"","title":"Matchmaking with limited knowledge of resources on clouds and grids","year":2010,"lang":"en","type":"article","venue":"International Symposium on Performance Evaluation of Computer and Telecommunication Systems","topic":"Cloud Computing and Resource Management","field":"Computer Science","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"","keywords":"Reservation; Computer science; Distributed computing; Cloud computing; Scheduling (production processes); Grid; Grid computing; Processor scheduling; A priori and a posteriori; Resource (disambiguation); Middleware (distributed applications); Computer network; Operating system; Engineering","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":[0.005836618,0.0008164977,0.002671853,0.001068855,0.002292448,0.00514025,0.003509018,0.002382495,0.004548909],"category_scores_gemma":[0.02320399,0.001407894,0.001064284,0.001929137,0.003046714,0.01131793,0.006766283,0.002627625,0.001003823],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002556086,"about_ca_system_score_gemma":0.002694108,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007432132,"about_ca_topic_score_gemma":0.003938814,"domain_scores_codex":[0.9938258,0.001817044,0.0004313467,0.001639253,0.001451827,0.0008348141],"domain_scores_gemma":[0.9858751,0.009219227,0.0008395694,0.002590997,0.0007036272,0.0007714402],"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":[0.001074044,0.0002147567,0.001598433,0.0002233514,0.0001148938,0.0007168445,0.0004588203,0.777689,0.003236952,0.1527403,0.002792677,0.05913996],"study_design_scores_gemma":[0.00006771116,0.00005898842,0.000283741,0.00002291422,0.00002689483,0.0000913824,0.0001461281,0.8515877,0.002066166,0.1426093,0.003005295,0.00003382268],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.09465328,0.00102901,0.8850344,0.001813926,0.0001688055,0.0002374767,0.0002826503,0.0008522017,0.01592828],"genre_scores_gemma":[0.8812419,0.0005837662,0.1132072,0.0002651367,0.0001216644,0.0001381622,0.000231565,0.0001206758,0.004089965],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.007432132,"threshold_uncertainty_score":0.0308674,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02073361499590888,"score_gpt":0.2764338830664907,"score_spread":0.2557002680705818,"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."}}