Abstract
Debugging and optimizing large-scale applications is still more art than engineering discipline. This document describes our experience in building a set of tools to help DryadLINQ application developers understand and debug their programs. The core infrastructure for our tools is a portable library which provides a DryadLINQ job object model (i.e., a local representation of the distributed state of an executed application). Layered on the job object model we have built a variety of interactive and batch tools for: performance data collection and analysis, distributed state visualization, failure diagnostics, debugging, and profiling. © 2011 IEEE.
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CITATION STYLE
Jagannath, V., Yin, Z., & Budiu, M. (2011). Monitoring and debugging DryadLINQ applications with daphne. In IEEE International Symposium on Parallel and Distributed Processing Workshops and Phd Forum (pp. 1266–1273). https://doi.org/10.1109/IPDPS.2011.268
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