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Overcoming the Top Four Challenges to Real‐Time Performance in Large‐Scale, Data‐Centric Applications

by on Nov 22, 2011

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The most critical large-scale applications today, regardless of industry, involve a demand for real-time data transfer and visualization of potentially large volumes of data. With this demand comes ...

The most critical large-scale applications today, regardless of industry, involve a demand for real-time data transfer and visualization of potentially large volumes of data. With this demand comes numerous challenges and limiting factors, especially if these applications are deployed in virtual or cloud environments. Attend this session and learn how to overcome the top four challenges to real-time application performance: database performance, network data transfer bandwidth limitations, processor performance and lack of real-time predictability. Solutions discussed will include design of the proper data model for the application data, along with design patterns that facilitate optimal and minimal data transfer across networks.

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Overcoming the Top Four Challenges to Real‐Time Performance in Large‐Scale, Data‐Centric Applications Overcoming the Top Four Challenges to Real‐Time Performance in Large‐Scale, Data‐Centric Applications Presentation Transcript