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Monday, November 18 • 2:20pm - 2:50pm
Pythia: An Automated, Cross-layer Instrumentation Framework for Diagnosing Performance Problems in Distributed Applications - Emre Ates, Boston University

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It is extremely difficult to understand where to enable instrumentation a priori to help diagnose problems that may occur in the future. We present Pythia, an automated cross-layer instrumentation framework, which explores the space of possible instrumentation choices and enables instrumentation needed to diagnose a newly-observed problem in production systems. Pythia builds on distributed tracing and uses statistical techniques to identify where instrumentation is needed. This talk will discuss 1) the scalable design of Pythia 2) our progress on identifying promising data structures to represent the instrumentation search space across multiple data center stack layers (e.g., application and kernel). These structures must trade-off between compactness, exhaustiveness, and accuracy. 3) Creating algorithms to search this space quickly while staying under a specific instrumentation budget.

avatar for Emre Ates

Emre Ates

PhD Student, Boston University
Emre Ates is a Ph.D. candidate in the Department of Electrical and Computer Engineering of Boston University. His current research interests include automated analytics on large-scale computing systems and distributed systems.

Monday November 18, 2019 2:20pm - 2:50pm PST
Marriott Marquis San Diego Marina - San Diego Room B/C
  • Session Slides Included Yes