Genetic Algorithms in Search, Optimization and Machine Learning
Genetic Algorithms in Search, Optimization and Machine Learning
Statistical Analysis of WCET for Scheduling
RTSS '01 Proceedings of the 22nd IEEE Real-Time Systems Symposium
The worst-case execution-time problem—overview of methods and survey of tools
ACM Transactions on Embedded Computing Systems (TECS)
Handbook of Real-Time and Embedded Systems
Handbook of Real-Time and Embedded Systems
WCET Analysis of Modern Processors Using Multi-Criteria Optimisation
SSBSE '09 Proceedings of the 2009 1st International Symposium on Search Based Software Engineering
Estimation of probabilistic bounds on phase CPI and relevance in WCET analysis
Proceedings of the tenth ACM international conference on Embedded software
Re-sampling for statistical timing analysis of real-time systems
Proceedings of the 20th International Conference on Real-Time and Network Systems
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In this paper, we revisit the problem of using Extreme Value Theory (EVT) in the Worst-Case Execution Time (WCET) analysis of the programs running on a single processor. Our proposed statistical WCET analysis method consists of a novel sampling mechanism tackling with some problems that hindered the application of using EVT in the context, and a statistical inference about computation of a WCET estimate of the target program. To be specific, the presented sampling mechanism takes analysis samples from the target program based around end-to-end measurements. Next, the statistical inference using EVT together with other statistical techniques, analyzes such timing traces which contain the execution time data of the program, to compute a WCET estimate with a certain predictable probability of being exceeded.