A fuzzy reinforcement learning approach for pre-congestion notification based admission control

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 7279 LNCS, Issue , 2012, Pages 26-37

  Georgoulas, Stylianos ^a   Moessner, Klaus ^a   Mansour, Alexis ^a   Pissarides, Menelaos ^a   Spapis, Panagiotis ^b  

^a UNIVERSITY OF SURREY   (United Kingdom)

^b UNIVERSITY OF ATHENS   (Greece)

Author keywords

Admission Control; Autonomic Management; Fuzzy Logic; Pre Congestion Notification; Quality of Service; Reinforcement Learning

Indexed keywords

AUTONOMIC MANAGEMENT; CONTROL APPROACH; FLOW DYNAMICS; FUZZY REINFORCEMENT LEARNING; LOAD CONDITION; LOAD FLUCTUATIONS; NETWORK CONFIGURATION; PRE-CONGESTION NOTIFICATION; PRIORI KNOWLEDGE; TRAFFIC FLOW CHARACTERISTICS; TRAFFIC MODEL; TRIAL AND ERROR;

ACCESS CONTROL; FUZZY LOGIC; QUALITY OF SERVICE; TRANSMISSION CONTROL PROTOCOL;

REINFORCEMENT LEARNING;

EID: 84861994695     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-30633-4_4     Document Type: Conference Paper

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