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Hierarchical Caches for Grid Workflows David Chiu Gagan Agrawal
 

Summary: Hierarchical Caches for Grid Workflows
David Chiu Gagan Agrawal
Department of Computer Science and Engineering
Ohio State University
Columbus, OH 43210
{chiud,agrawal}@cse.ohio-state.edu
Abstract--From personal software to advanced systems, caching
mechanisms have steadfastly been a ubiquitous means for reducing
workloads. It is no surprise, then, that under the grid and cluster
paradigms, middlewares and other large-scale applications often
seek caching solutions. Among these distributed applications, sci-
entific workflow management systems have gained ground towards
mitigating the often painstaking process of composing sequences
of scientific data sets and services to derive virtual data. In the
past, workflow managers have relied on low-level system cache
for reuse support. But in distributed query intensive environments,
where high volumes of intermediate virtual data can potentially be
stored anywhere on the grid, a novel cache structure is needed to
efficiently facilitate workflow planning. In this paper, we describe an
approach to combat the challenges of maintaining large, fast virtual

  

Source: Agrawal, Gagan - Department of Computer Science and Engineering, Ohio State University

 

Collections: Computer Technologies and Information Sciences