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Optimizing Web Services Performance: Semantic Web Standards and Strategies

In this presentation, Matthew Dunlop outlines the significance of optimizing web services performance by leveraging existing systems and tools. The focus is on enhancing web applications through semantic web standards, ultimately aiming to resolve interoperability challenges. Key aspects include the construction and processing of SOAP messages, response time analysis across various client languages and server types, and the efficacy of large data structures. The findings demonstrate that employing powerful servers leads to better performance, while PHP clients exhibit lower efficiency. This work prompts discussions on making the semantic web more appealing.

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Optimizing Web Services Performance: Semantic Web Standards and Strategies

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Presentation Transcript

  1. Semantic Web Standards Presented By: Matthew Dunlop Usable Security – CS 6204 – Fall, 2009 – Dennis Kafura – Virginia Tech

  2. Semantic Web Standards • Thinking Inside the Box! Optimizing Web Services Performance Today (2008) Usable Security – CS 6204 – Fall, 2009 – Dennis Kafura – Virginia Tech

  3. Purpose • Improve web services performance using existing systems/tools Hence “thinking inside the box”

  4. Why Web Services • Take web applications to the next level • Application can publish its function to world • Solve interoperability problems

  5. The Box • Request construction • SOAP message construction • Transmission • Server Listening • SOAP message deconstruction • Request Processing

  6. Timing Process

  7. Client Language verses Return Type Response Times (ms) using an IIS Server Response Times (ms) using a Sun Server

  8. Client Language verses Message Size Response Times (ms) using a Sun Server and returning 1D arrays of 15-byte elements Response Times (ms) using a IIS Server and returning 1D arrays of 15-byte elements

  9. Data Type verses Message Size Response Times (ms) using a Java Client Response Times (ms) using a C# Client Response Times (ms) using a PHP Client

  10. Server Specifics verses Data Type Response Times (ms) as a function of server application and machine type

  11. Conclusion • Large data structures are more efficient • SUN Application Server more efficient • A more powerful server is better • PHP least efficient

  12. Discussion • Are any of these conclusions surprising? • Will the results of these tests make semantic web more attractive?

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