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Optimized Data Migration within a System of Linked Medical Research Databases

Optimized Data Migration within a System of Linked Medical Research Databases. By Jared Christopherson U. of Connecticut. Problem to Address. Medical research requires connections to multiple hospitals, institutions, or online databases Data must be compiled manually

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Optimized Data Migration within a System of Linked Medical Research Databases

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  1. Optimized Data Migration within a System of Linked Medical Research Databases By Jared Christopherson U. of Connecticut

  2. Problem to Address • Medical research requires connections to multiple hospitals, institutions, or online databases • Data must be compiled manually • Process is time-consuming

  3. General Project Goal

  4. Project Goals: • Present data as though from a single source • Give the researcher flexibility with viewing the data • Optimize data flow with site caching

  5. Real World Issue: Data Formatting

  6. Real World Issue: Data Formatting

  7. Solution: Master Template

  8. Master Templates and Display Templates

  9. Basic Functionality • Provides a simple search for users • Researchers have the option of selecting a pre-set Display Template to only display data relevant to their needs • Queries each database individually according to the Master Template • Returns results and (optionally) compiles them into a single list • Use AJAX to return results for each database

  10. Caching and Optimization • Goal: researchers should have fastest access possible to the info they seek • X-RAY or MRI images could be 2-5Mb in size each • What if researchers in the US consistently need access to data on a server in Asia? • Local access would be fastest

  11. Caching Goal

  12. Caching and Optimization: Possible Solutions • Move everything to a central server • Move records around as they are accessed • Cache everything • Cache databases based on usage

  13. Query and Result Set – No Caching

  14. Caching Process

  15. Caching Complete

  16. Region Caching

  17. Database Caching Queue – What to cache? For each region, determines the top external servers used based on a percentage of queries

  18. Database Caching Queue • Need a method to determine the most heavily requested external databases for each region • Track statistics: • Convert IP address -> region whenever a user performs a search • Increment result count for the record that keeps track of the region ID and database ID

  19. DB Queue to Cache

  20. Caching and Optimization: Where to cache data • Real-world constraints • allow_cache • supersite • bandwidth • cache_size

  21. Caching and Optimization: Script Process Runs at frequency set by admin This process continues for each region with the program assigning data to servers with progressively lower bandwidth and cache_size scores until all the server space from that region is exhausted

  22. Caching and Optimization: Script Process At the end, each region should have as many local copies of the most frequently requested databases as possible Cached copies are read-only

  23. Further Work and Improvements • Allow different types of databases (DAL) • Remove overlapping data • Script to determine when individual caches need to be updated

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