Video Subset Selection for Measurement Based Worst Case Execution Time Analysis

Sitsofe Wheeler; Iain Bate; Mark Bartlett

Video Subset Selection for Measurement Based Worst Case Execution Time Analysis

Sitsofe Wheeler, Iain Bate, Mark Bartlett

Computer Science

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Abstract

Worst Case Execution Time (WCET) has traditionally approached problems with small, well defined input spaces. For processes with a large input space (such as video) existing techniques struggle to produce a meaningful result. This work investigates a technique that reduces the input space while still preserving execution time properties to allow subsequent WCET analysis to be more effective.

Original language	Undefined/Unknown
Title of host publication	Proceedings of the 6th IEEE International Symposium on Industrial Embedded Systems (SIES'11)
Publication status	Published - 2011

Cite this

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title = "Video Subset Selection for Measurement Based Worst Case Execution Time Analysis",

abstract = "Worst Case Execution Time (WCET) has traditionally approached problems with small, well defined input spaces. For processes with a large input space (such as video) existing techniques struggle to produce a meaningful result. This work investigates a technique that reduces the input space while still preserving execution time properties to allow subsequent WCET analysis to be more effective.",

author = "Sitsofe Wheeler and Iain Bate and Mark Bartlett",

year = "2011",

language = "Undefined/Unknown",

booktitle = "Proceedings of the 6th IEEE International Symposium on Industrial Embedded Systems (SIES'11)",

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TY - GEN

T1 - Video Subset Selection for Measurement Based Worst Case Execution Time Analysis

AU - Wheeler, Sitsofe

AU - Bate, Iain

AU - Bartlett, Mark

PY - 2011

Y1 - 2011

N2 - Worst Case Execution Time (WCET) has traditionally approached problems with small, well defined input spaces. For processes with a large input space (such as video) existing techniques struggle to produce a meaningful result. This work investigates a technique that reduces the input space while still preserving execution time properties to allow subsequent WCET analysis to be more effective.

AB - Worst Case Execution Time (WCET) has traditionally approached problems with small, well defined input spaces. For processes with a large input space (such as video) existing techniques struggle to produce a meaningful result. This work investigates a technique that reduces the input space while still preserving execution time properties to allow subsequent WCET analysis to be more effective.

M3 - Conference contribution

BT - Proceedings of the 6th IEEE International Symposium on Industrial Embedded Systems (SIES'11)

ER -