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Where's My I/O: Some Insights into I/O Profiling and Debugging
TS-4588


Presenter: Pavel Genevski, SAP AG


Once upon a time, software developers witnessed a frightening phenomenon. Technology had reached its natural limits and CPU clock rates stopped increasing. Developers were concerned. It turned out that they had been relying on the ever increasing CPU speeds to write fancy programs without worrying too much about performance...

That's not a fairy-tale, but the reality that we've been through for the last couple of years. There's been a shift from single to multi-core CPUs, virtualization and big volume, service oriented software. In such an environment, performance plays a key role. In today's computing, performance can be viewed in three dimensions:

  • CPU
  • Memory
  • I/O

Every software under load reaches the limits of one of these dimensions. After that, the users can either add more resources or try to optimize the software. While there are plentiful tools and resources addressing the first two dimensions, IO profiling and debugging has been somehow neglected. The amount and structure of IO is one of the major factors, limiting performance of software. There are tools for IO tracing and heap dump analysis that may help to some extent, but none of them is sufficient to the problem.

This session, for developers and testers, covers

  • How I/O affects performance of software - a case study
  • Some common I/O antipatterns and pitfalls
  • JPicus - a live demo of a new Java technology-based I/O analysis tool
 
 
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