Monitoring and Debugging DryadLINQ Applications with Daphne
Parallel and Distributed Processing Workshops and Phd Forum（2011）
摘要
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. par 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.
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关键词
batch tool,job object model,engineering discipline,executed application,failure diagnostics,state visualization,large-scale application,dryadlinq job object model,debugging dryadlinq applications,core infrastructure,dryadlinq application developer,decision trees,application development,data collection,object model,data visualisation,debugging,software profiling,software portability,radiation detectors
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