{"id":"W2116893958","doi":"10.5555/1515984.1515996","title":"Dynamic load balancing in distributed content-based publish/subscribe","year":2006,"lang":"en","type":"article","venue":"TSpace","topic":"Peer-to-Peer Network Technologies","field":"Computer Science","cited_by":39,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Computer science; Load balancing (electrical power); Scalability; Distributed computing; Publication; Load management; Context (archaeology); Network Load Balancing Services; Overhead (engineering); Computer network; Server; 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":[0.001727388,0.0004331756,0.0007053317,0.0007497747,0.00120715,0.001663861,0.001315381,0.000727842,0.001259697],"category_scores_gemma":[0.003426755,0.0003326671,0.0002671484,0.001118854,0.0005825085,0.001776515,0.0009038028,0.0006018566,0.0005583157],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006741973,"about_ca_system_score_gemma":0.0006463065,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008986387,"about_ca_topic_score_gemma":0.00106842,"domain_scores_codex":[0.9989993,0.0002751835,0.00007110334,0.0001845098,0.0003868029,0.00008307076],"domain_scores_gemma":[0.9976928,0.001004058,0.0001984228,0.0005613957,0.0004121285,0.0001312779],"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":[0.001077773,0.001013877,0.00762414,0.0004057211,0.0002089826,0.0007246936,0.0008472317,0.2422799,0.1290654,0.03593921,0.009663761,0.5711492],"study_design_scores_gemma":[0.0001365405,0.0001482011,0.001211052,0.00001042612,0.00004690473,0.0002489331,0.0001560579,0.935657,0.03584823,0.0190198,0.007489381,0.00002750996],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1590692,0.0004907324,0.8279328,0.0004576586,0.000169392,0.0002626218,0.00009913602,0.004984174,0.006534319],"genre_scores_gemma":[0.8822165,0.0001777463,0.1134283,0.00009916622,0.0001214005,0.0001317947,0.0001645946,0.0001405144,0.003519999],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001727388,"threshold_uncertainty_score":0.009135425,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01776372115982685,"score_gpt":0.2621603242008821,"score_spread":0.2443966030410552,"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."}}