DocumentCode
3507881
Title
A unified, low-overhead framework to support continuous profiling and optimization
Author
Zhang, Ming ; He, Xubin ; Yang, Qing
Author_Institution
Electr. & Comput. Eng., Univ. of Rhode Island, Kingston, RI, USA
fYear
2003
fDate
9-11 April 2003
Firstpage
327
Lastpage
334
Abstract
We propose a unified, low-overhead framework (ULF) to support continuous system profiling and optimization based on a specifically designed embedded board. Instead of building a new profiling tool from scratch, ULF provides a unified interface to integrate various existing profiling tools and optimizers, and helps to build future tools easily. ULF uses an embedded processor to off-load tasks of post-processing profiling data, which reduces system overhead caused by profiling tools and makes ULF especially suitable for continuous profiling on production systems. By processing the profiling data in parallel and providing feedback promptly, ULF supports on-line optimization. Our case study on I/O profiling demonstrated that ULF-enhanced profiling tool dramatically reduces overhead, making continuous profiling on production systems feasible.
Keywords
embedded systems; optimisation; parallel processing; performance evaluation; software tools; system monitoring; continuous system profiling; embedded board; embedded processor; on-line optimization; parallel processing; performance evaluation; profiling tools; program optimization; program profiling; system optimization; unified low-overhead framework; Buildings; Continuous production; Continuous time systems; Design engineering; Design optimization; Embedded computing; Feedback; Hardware; Production systems; Runtime;
fLanguage
English
Publisher
ieee
Conference_Titel
Performance, Computing, and Communications Conference, 2003. Conference Proceedings of the 2003 IEEE International
ISSN
1097-2641
Print_ISBN
0-7803-7893-8
Type
conf
DOI
10.1109/PCCC.2003.1203715
Filename
1203715
Link To Document