ScalaJack: Customized Scalable Tracing with in-situ Data Analysis

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Provided by: North Carolina State University
Topic: Big Data
Format: PDF
Root cause diagnosis of large-scale HPC applications often fails because tools, specifically trace-based ones, can no longer record all metrics they measure. The authors address this problems by combining customized tracing and providing support for in-situ data analysis via ScalaJack, a framework with customizable instrumentation and pluggable ex-tension capabilities for problem directed instrumentation and in-situ data analysis. They further eliminate cross cutting concerns by code refactoring for aspect orientation and evaluate these capabilities in case studies within and beyond the scope of tracing.
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