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Performability Modeling Based on Real Data: A Case Study
M. C. Hsueh,
R. K. Iyer
Electrical and Computer Engineering
National Center for Supercomputing Applications (NCSA)
Carl R. Woese Institute for Genomic Biology
Coordinated Science Lab
Information Trust Institute
Biomedical and Translational Sciences
Siebel School of Computing and Data Science
Center for Global Studies
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Keyphrases
Performability Model
100%
Function-based
50%
Measurement Basis
50%
Error Rate
50%
System Behavior
50%
Model-driven Development
50%
Normal Behavior
50%
Semi-Markov Process
50%
Error State
50%
Operating State
50%
Holding Time
50%
Expected Payoff
50%
Reward Function
50%
Error Types
50%
Performability
50%
Resource Usage Data
50%
Service Rate
50%
Multiprocessor Systems
50%
Error Behavior
50%
Engineering
Real Data
100%
Data Show
50%
Collected Data
50%
Measured Data
50%
Model Structure
50%
Error Rate
50%
Raw Data
50%
System Behavior
50%
State Error
50%
Resource Usage
50%
Multiprocessor System
50%
Holding Time
50%