Upper Bounds Prediction of the Execution Time of Programs Running on ARM Cortex-A Systems - Technological Innovation for Smart Systems
Conference Papers Year : 2017

Upper Bounds Prediction of the Execution Time of Programs Running on ARM Cortex-A Systems

Irina Fedotova
  • Function : Author
  • PersonId : 1022244
Bernd Krause
  • Function : Author
  • PersonId : 1022245
Eduard Siemens
  • Function : Author
  • PersonId : 1022246

Abstract

This paper describes the application of statistical analysis of the timing behavior for a generic real-time task model. Using specific processor of ARM Cortex-A series and an empirical approach of time values retrieval, the algorithm to predict the upper bounds for the task of the time acquisition operation has been formulated. For the experimental verification of the algorithm, we have used the robust Measurement-Based Probabilistic Timing Analysis based on the Extreme value theory (EVT). In the ongoing work, we provide a systematic method for safe worst-case execution time estimations of programs running on the specific hardware. We focus here primary on the consequences of EVT assumptions and their correct interpretation for the upper bounds prediction.
Fichier principal
Vignette du fichier
448071_1_En_21_Chapter.pdf (574.27 Ko) Télécharger le fichier
Origin Files produced by the author(s)
Loading...

Dates and versions

hal-01629593 , version 1 (06-11-2017)

Licence

Identifiers

Cite

Irina Fedotova, Bernd Krause, Eduard Siemens. Upper Bounds Prediction of the Execution Time of Programs Running on ARM Cortex-A Systems. 8th Doctoral Conference on Computing, Electrical and Industrial Systems (DoCEIS), May 2017, Costa de Caparica, Portugal. pp.220-229, ⟨10.1007/978-3-319-56077-9_21⟩. ⟨hal-01629593⟩
99 View
88 Download

Altmetric

Share

More