Data intensive distributed computing: A medical application example

  • Jason Lee
  • Brian Tierney
  • William Johnston
Track C1: (Industrial) End-user Applications of HPCN
Part of the Lecture Notes in Computer Science book series (LNCS, volume 1593)


Modern scientific computing involves organizing, moving, visualizing, and analyzing massive amounts of data from around the world, as well as employing large-scale computation. The distributed systems that solve large-scale problems will always involve aggregating and scheduling many resources. Data must be located and staged, cache and network capacity must be available at the same time as computing capacity, etc. Every aspect of such a system is dynamic: locating and scheduling resources, adapting running application systems to availability and congestion in the middleware and infrastructure, responding to human interaction, etc. The technologies, the middleware services, and the architectures that are used to build useful high-speed, wide area distributed systems, constitute the field of data intensive computing. This paper explores some of the history and future directions of that field, and describes a specific medical application example.


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Copyright information

© Springer-Verlag 1999

Authors and Affiliations

  • Jason Lee
    • 1
  • Brian Tierney
    • 1
  • William Johnston
    • 1
  1. 1.Lawrence Berkeley National LaboratoryBerkeley

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