Last modified
February 29, 2000

  Seminar Abstract
Center for Data Intensive Computing




Brookhaven's involvement as a Tier I facility for the Atlas experiments lends itself to many computing problems that need to be solved. These problems arise from the fact that different machines over a heterogeneous network are going to need access to reconstructed data that Brookhaven will hold. There will have to be standards set in place to ensure authorized persons can access and use the data in an efficient and secure way. These problems can be solved by implementing a computational-data grid. Combined with an object based grid aware database used as a standard, data availability over a heterogeneous network can be realized.

My work here at BNL has been to install and test a popular grid toolkit known as Globus. My work eventually led to the creation of a "grid friendly" add on for Objectivity, an object based database program. My discussion will explain what exactly the grid is, how it works, and how it can be used. Then I will talk about data replication on a data grid, and the future of grid technology.

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