{"id":"W1518915275","doi":"10.5555/1045658.1045689","title":"Extending a J2EE™ server with dynamic and flexible resource management","year":2004,"lang":"en","type":"article","venue":"","topic":"Parallel Computing and Optimization Techniques","field":"Computer Science","cited_by":28,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Computer science; Operating system; Java; Scalability; Virtual machine; Resource management (computing); Interface (matter); Overhead (engineering); Server; Application server; Distributed computing","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":[0.001037476,0.0004757405,0.000369547,0.0003780846,0.0006705304,0.001519516,0.001743103,0.0007318639,0.002796566],"category_scores_gemma":[0.001451476,0.0004683997,0.0003699792,0.0005260514,0.0006262932,0.002135891,0.001915286,0.001593753,0.002595069],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004827846,"about_ca_system_score_gemma":0.001276312,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001884476,"about_ca_topic_score_gemma":0.001648732,"domain_scores_codex":[0.9991246,0.00008919237,0.00007109558,0.0001328765,0.000456155,0.0001261192],"domain_scores_gemma":[0.9989088,0.000126198,0.0000753731,0.0004250529,0.0002607759,0.0002037882],"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":[0.001119394,0.001320522,0.007863904,0.0003231514,0.0001478048,0.001486305,0.0008658734,0.03963682,0.3091748,0.1152646,0.05126322,0.4715336],"study_design_scores_gemma":[0.0002044549,0.000712648,0.004163585,0.00005388815,0.0001233142,0.001795608,0.0001387454,0.4849812,0.1175419,0.02142287,0.3686464,0.0002153235],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.08833064,0.0007643949,0.8458989,0.000744796,0.0005442189,0.000468853,0.000205208,0.02455803,0.03848496],"genre_scores_gemma":[0.5533649,0.0007728885,0.3910131,0.0004089803,0.0003385296,0.0003524222,0.001277114,0.001099066,0.05137299],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.002796566,"threshold_uncertainty_score":0.009355426,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007515475247848583,"score_gpt":0.2340138558419253,"score_spread":0.2264983805940767,"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."}}