Coordinated VM resizing and server tuning: Throughput, power efficiency and scalability

Proceedings of the 2012 IEEE 20th International Symposium on Modeling, Analysis and Simulation of Computer and Telecommunication Systems, MASCOTS 2012

Volumn , Issue , 2012, Pages 289-297

  Guo, Yanfei ^a   Zhou, Xiaobo ^a  

^a University of Colorado Colorado Springs   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

BENCHMARK APPLICATIONS; CENTRALIZED APPROACHES; CLOUD SERVICES; CONFIGURATION OPTIONS; DATA CENTERS; HARD PROBLEMS; HIGH DYNAMIC; INTERNET APPLICATION; LEARNING-BASED APPROACH; MULTI-AGENT REINFORCEMENT LEARNING; PERFORMANCE CONTROL; POWER BUDGETS; POWER EFFICIENCY; POWER MANAGEMENTS; PROTOTYPE DATA; REINFORCEMENT LEARNING AGENT; RESEARCH ISSUES; SCALABLE APPROACH; SYSTEM THROUGHPUT;

COMPUTER SIMULATION; ENERGY MANAGEMENT; GENETIC ALGORITHMS; INTELLIGENT AGENTS; REINFORCEMENT LEARNING; SCALABILITY; TELECOMMUNICATION SYSTEMS; TESTBEDS; THROUGHPUT;

EFFICIENCY;

EID: 84868217539     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/MASCOTS.2012.41     Document Type: Conference Paper

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