Log-based architectures for general-purpose monitoring of deployed code
Runtime monitoring tools are invaluable for detecting various types of bugs, in both sequential and multi-threaded programs. However, these tools often slow down the monitored program by an order of magnitude or more , implying that the tools are ill-suited for always-on monitoring of deployed code. Fortunately, the emergence of chip multiprocessors as a dominant computing platform means that resources are available on-chip to assist in monitoring tasks. In this brief note, we advocate Log-Based Architectures (LBA) that exploit such on-chip resources in order to dramatically reduce the overhead of runtime program monitoring. Specifically, we propose adding hardware support for logging a main program's trace and delivering it to another (otherwise idle) processing core for inspection. A life-guard program running on this other core executes the desired monitoring task.
Record created on 2009-01-23, modified on 2016-08-08