Paper Info
Title
Armada: a parallel I/O framework for computational grids
Abstract
High-performance computing increasingly occurs on “computational grids” composed of heterogeneous and geographically distributed systems of computers, networks, and storage devices that collectively act as a single “virtual” computer. One of the great challenges for this environment is to provide efficient access to data that is distributed across remote data servers in a grid. In this paper, we describe our solution, a framework we call armada . The framework allows applications and dataset providers to flexibly compose graphs of processing modules that describe the distribution, application interfaces, and processing required of the dataset before computation. The armada runtime system then restructures the graph, and places the processing modules at appropriate hosts to reduce network traffic.
Year
DOI
Venue
2002
10.1016/S0167-739X(01)00076-0
Future Generation Comp. Syst.
Keywords
Field
DocType
computational grids,data grids,parallel i/o,framework,o framework,computational grid,distributed application,data grid,computer network
Graph,Computer science,Server,Parallel I/O,Data access,Grid,Distributed computing,Computation,Runtime system
Journal
Volume
Issue
ISSN
18
4
Future Generation Computer Systems
Citations 
PageRank 
References 
11
0.66
29
Authors
2
Name
Order
Citations
PageRank
Ron Oldfield140818.71
David Kotz24292430.36