Document Type
Article
Publication Date
3-2002
Publication Title
Future Generation Computing Systems (FGCS)
Department
Department of Computer Science
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. Armada allows applications to flexibly compose modules to access their data, and to place those modules at appropriate hosts within the grid to reduce network traffic.
DOI
10.1016/S0167-739X(01)00076-0
Original Citation
Ron Oldfield and David Kotz. Armada: a parallel I/O framework for computational grids. In Future Generation Computing Systems (FGCS), March 2002. 10.1016/S0167-739X(01)00076-0
Dartmouth Digital Commons Citation
Oldfield, Ron and Kotz, David, "Armada: a Parallel I/O Framework for Computational Grids" (2002). Dartmouth Scholarship. 3318.
https://digitalcommons.dartmouth.edu/facoa/3318