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Volumn , Issue , 2008, Pages 25-32
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Using machine learning for non-intrusive modeling and prediction of software aging
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Author keywords
[No Author keywords available]
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Indexed keywords
ADAPTIVE ALGORITHMS;
ARTIFICIAL INTELLIGENCE;
BENCHMARKING;
CLASSIFICATION (OF INFORMATION);
DEGRADATION;
EDUCATION;
FORECASTING;
LEARNING ALGORITHMS;
LEARNING SYSTEMS;
ROBOT LEARNING;
SERVERS;
SULFATE MINERALS;
UBIQUITOUS COMPUTING;
ADAPTIVE SOFTWARE;
AGING MODELS;
AGING PROCESSES;
AND MODELING;
APPLICATION PERFORMANCE;
APPLICATION SERVERS;
APPLICATIONS.;
CAPACITY PLANNING;
CLASSIFICATION METHODS;
DATA SETS;
LOW OVERHEAD;
MACHINE-LEARNING;
MEASUREMENT-BASED;
MEMORY LEAKS;
MODELING AND PREDICTION;
NETWORK OPERATIONS;
NON-INTRUSIVE;
PERFORMANCE DEGRADATION;
PREDICTIVE POWER;
PRODUCTION ENVIRONMENTS;
RESOURCE DEPLETION;
SHORT-TERM PREDICTIONS;
SOFTWARE AGING;
TPC-W BENCHMARK;
UBIQUITOUS NETWORKS;
NETWORK MANAGEMENT;
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EID: 51849142824
PISSN: None
EISSN: None
Source Type: Conference Proceeding
DOI: 10.1109/NOMS.2008.4575113 Document Type: Conference Paper |
Times cited : (58)
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References (18)
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