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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

Optimized Data Migration within a System of Linked Medical Research Databases

By Jared Christopherson

U. of Connecticut


Problem to address
Problem to Address Research Databases

  • Medical research requires connections to multiple hospitals, institutions, or online databases

  • Data must be compiled manually

  • Process is time-consuming


General project goal
General Project Goal Research Databases


Project goals
Project Goals: Research Databases

  • Present data as though from a single source

  • Give the researcher flexibility with viewing the data

  • Optimize data flow with site caching




Solution master template
Solution: Master Template Research Databases



Basic functionality
Basic Functionality Research Databases

  • 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


Caching and optimization
Caching and Optimization Research Databases

  • 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


Caching Goal Research Databases


Caching and optimization possible solutions
Caching and Optimization: Possible Solutions Research Databases

  • Move everything to a central server

  • Move records around as they are accessed

  • Cache everything

  • Cache databases based on usage



Caching process
Caching Process Research Databases


Caching complete
Caching Complete Research Databases


Region caching
Region Caching Research Databases


Database caching queue what to cache
Database Caching Queue – What to cache? Research Databases

For each region, determines the top external servers used based on a percentage of queries


Database caching queue
Database Caching Queue Research Databases

  • 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


Db queue to cache
DB Queue to Cache Research Databases


Caching and optimization where to cache data
Caching and Optimization: Where to cache data Research Databases

  • Real-world constraints

  • allow_cache

    • supersite

      • bandwidth

        • cache_size


Caching and optimization script process
Caching and Optimization: Script Process Research Databases

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


Caching and optimization script process1
Caching and Optimization: Script Process Research Databases

At the end, each region should have as many local copies of the most frequently requested databases as possible

Cached copies are read-only


Further work and improvements
Further Work and Improvements Research Databases

  • Allow different types of databases (DAL)

  • Remove overlapping data

  • Script to determine when individual caches need to be updated


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