{"id":"W4411214024","doi":"10.1007/978-981-96-6468-9_11","title":"Dynamic Load Balancing with Agent-Based Algorithm in Cloud Computing via OpenStack","year":2025,"lang":"en","type":"book-chapter","venue":"Communications in computer and information science","topic":"Telecommunications and Broadcasting Technologies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Concordia University; École de Technologie Supérieure; Université du Québec à Montréal","funders":"","keywords":"Computer science; Cloud computing; Parallel computing; Load balancing (electrical power); Distributed computing; Operating system; Mathematics","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":[0.0003251186,0.0003812294,0.0007078039,0.0003281817,0.0008709826,0.001259744,0.00117963,0.0004133165,0.003600872],"category_scores_gemma":[0.0006485602,0.0001681498,0.0003052104,0.0007884364,0.0004113484,0.001197914,0.001103805,0.0007939232,0.0006750614],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000547056,"about_ca_system_score_gemma":0.0008982979,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002582736,"about_ca_topic_score_gemma":0.002397106,"domain_scores_codex":[0.9996859,0.00005830258,0.00001628329,0.00005551982,0.000108639,0.00007530065],"domain_scores_gemma":[0.9997906,0.00005530378,0.00001597324,0.00003462968,0.00006434898,0.00003913537],"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":[0.0007023267,0.0002766411,0.001047795,0.0002754804,0.0001148604,0.0003104888,0.0002387529,0.4109476,0.02526469,0.07417277,0.02836415,0.4582844],"study_design_scores_gemma":[0.00002301829,0.00004732875,0.0001951543,0.00001246426,0.00001425155,0.0001141734,0.00003589652,0.9733614,0.003049358,0.01367436,0.009456792,0.00001570987],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0514755,0.00215593,0.9150752,0.0005600088,0.0007286078,0.0001132422,0.00009303119,0.003652766,0.02614564],"genre_scores_gemma":[0.8225359,0.0008250487,0.1657033,0.0001880797,0.0001626955,0.00009336903,0.0001769992,0.0003463434,0.009968267],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003600872,"threshold_uncertainty_score":0.0120461,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01441883706174437,"score_gpt":0.2509329977478028,"score_spread":0.2365141606860584,"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."}}