HDTrans: an open source, low-level dynamic instrumentation system

  • Authors:

  • Swaroop Sridhar;Jonathan S. Shapiro;Eric Northup;Prashanth P. Bungale

  • Affiliations:

  • Johns Hopkins University;Johns Hopkins University;Johns Hopkins University;Harvard University

  • Venue:
  • Proceedings of the 2nd international conference on Virtual execution environments
  • Year:
  • 2006

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Abstract

Dynamic translation is a general purpose tool used for instrumenting programs at run time. Performance of translated execution relies on balancing the cost of translation against the benefits of any optimizations achieved, and many current translators perform substantial rewriting during translation in an attempt to reduce execution time. Our results show that these optimizations offer no significant benefit even when the translated program has a small, hot working set. When used in a broader range of applications, such as ubiquitous policy enforcement or penetration detection, translator performance cannot rely on the presence of a hot working set to amortize the cost of translation. A simpler, more maintainable, adaptable, and smaller translator appears preferable to more complicated designs in most cases.HDTrans is a light-weight dynamic instrumentation system for the IA-32 architecture that uses some simple and effective translation techniques in combination with established trace linearization and code caching optimizations. We present an evaluation of translation overhead under both benchmark and less idealized conditions, showing that conventional benchmarks do not provide a good prediction of translation overhead when used pervasively.A further contribution of this paper is an analysis of the effectiveness of post-link static pre-translation techniques for overhead reduction. Our results indicate that static pre-translation is effective only when expensive instrumentation or optimization is performed.