Office of Science U.S. Department of Energy Globus World 2005 PyGridWare Performance Aspects Keith R. Jackson Lawrence Berkeley National Laboratory.

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Office of Science U.S. Department of Energy Globus World 2005 PyGridWare Performance Aspects Keith R. Jackson Lawrence Berkeley National Laboratory

Office of Science U.S. Department of Energy Globus World 2005 Overview PyGridWare is a Python based implementation of the WSRF and WS- Notification specifications. Builds on top of the Python open-source SOAP toolkit ZSI. Uses XML tooling from both 4Suite and the Python standard library. –Much of the underlying tooling is written in C. Main development focus has been BP-1.1 and WSRF compliance, not performance. –But …

Office of Science U.S. Department of Energy Globus World 2005 Initial Experience When we first looked at performance, our numbers were abysmal! –Completely unacceptable for any real world usage. Profiler showed we were defaulting to a Python based XML parser for parsing. Switching to 4Suite’s cDomlette increased performance approximately 20 times. –Adequate for now, but still not fast enough. Shifting to an event driven container also made a huge difference. –Based on the Twisted project.

Office of Science U.S. Department of Energy Globus World 2005 Current Performance Perf data for 100 add ops with breakdown of hotspots. W/wo security.

Office of Science U.S. Department of Energy Globus World 2005 Planned Improvements Still major hotspots in the current code. –Namespace handling –c14n Evaluate the other XML toolkits with Python bindings. –libxml2 Consider developing Python bindings to the GT WSRF-C asynchronous SOAP parser. Use C based implementations where possible to eliminate hotspots, e.g., c14n, http transport.

Office of Science U.S. Department of Energy Globus World 2005 Conclusions Adequate performance is critical to the success of WSRF. –Most of the overhead is in XML serialization and parsing (about 2 to 1 serialization to parsing). We are focused on producing a standards compliant WSRF toolkit. –Very interested in ongoing work in improved XML parsing techniques. Hopefully we can take advantage of the great work others have described here today!