Understanding Application-Level Interoperability: Scaling-Out MapReduce Over High-Performance Grids and Clouds

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Provided by: Reed Business Information
Topic: Cloud
Format: PDF
There are numerous scientific applications that either currently utilize, or need to utilize data and resources distributed over vast heterogeneous infrastructures and networks with varying speeds and characteristics. Many scientific applications are, however, designed with a specific infrastructure; such dependence and tight-coupling to specific resource types and technologies is, in a heterogeneous distributed environment, not an optimal design choice. In order to leverage the flexibility of distributed systems and to gain maximum run-time performance, applications must shed their dependence on single infrastructure for all of their computational and data processing needs.
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