Boosting the performance of computing systems through adaptive configuration tuning

Proceedings of the ACM Symposium on Applied Computing

Volumn , Issue , 2009, Pages 1045-1049

  Chen, Haifeng ^a   Jiang, Guofei ^a   Zhang, Hui ^a   Yoshihira, Kenji ^a  

^a NEC LABORATORIES AMERICA   (United States)

Author keywords

Configuration tuning; Reinforcement learning; System management

Indexed keywords

COMPLEX RELATIONSHIPS; COMPUTING SYSTEM; CONFIGURATION PARAMETERS; ERROR BACK-PROPAGATION; LEARNING ARCHITECTURES; LEARNING PROCESS; MARKOV DECISION PROCESSES; MULTIPLE LAYERS; NETWORK WEIGHTS; OPTIMAL CONFIGURATIONS; STOCHASTIC POLICY; SYSTEM MANAGEMENT; SYSTEM STATE; SYSTEM WORKLOADS; TEMPORAL DIFFERENCE ERRORS; TUNING RULES; VALUE FUNCTIONS;

COMPUTER SCIENCE; DECISION THEORY; EDUCATION; MARKOV PROCESSES; NEURAL NETWORKS; REINFORCEMENT; REINFORCEMENT LEARNING; STATE FEEDBACK; TUNING;

LEARNING ALGORITHMS;

EID: 72949088183     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/1529282.1529511     Document Type: Conference Paper

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