A unified, low-overhead framework to support continuous profiling and optimization
Document Type
Conference Proceeding
Date of Original Version
6-12-2003
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 easily build future tools. ULF uses an embedded processor to offload 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.
Publication Title, e.g., Journal
IEEE International Performance, Computing and Communications Conference, Proceedings
Citation/Publisher Attribution
Zhang, Ming, Xubin He, and Qing Yang. "A unified, low-overhead framework to support continuous profiling and optimization." IEEE International Performance, Computing and Communications Conference, Proceedings (2003): 327-334. doi: 10.1109/PCCC.2003.1203715.