Commercial applications of grid computing

  • Authors:
  • Catherine Crawford;Daniel Dias;Arun Iyengar;Marcos Novaes;Li Zhang

  • Affiliations:
  • IBM T.J. Watson Research Center, Yorktown Heights, NY;IBM T.J. Watson Research Center, Yorktown Heights, NY;IBM T.J. Watson Research Center, Yorktown Heights, NY;IBM T.J. Watson Research Center, Yorktown Heights, NY;IBM T.J. Watson Research Center, Yorktown Heights, NY

  • Venue:
  • Performance analysis and grid computing
  • Year:
  • 2004

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Abstract

This paper provides an overview of commercial applications of Grid computing. We discuss Web performance and present a Grid caching architecture. Our Grid caching architecture offloads requests to Grid caches when Web servers become overloaded. We describe performance and traffic modeling techniques which can enhance Grid applications such as caching. We also discuss how Grid computing can be applied to financial applications. A key requirement here is that fast response times are needed. We present a Grid services scheduler that is well suited to commercial applications requiting fast response times.