Armada: a parallel I/O framework for computational grids


Ron Oldfield and David Kotz. Armada: a parallel I/O framework for computational grids. Future Generation Computing Systems (FGCS), volume 18, number 4, pages 501–523. Elsevier Science Press, March 2002. doi:10.1016/S0167-739X(01)00076-0. ©Copyright Elsevier Science.


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.

Citable with [BibTeX]

Projects: [armada]

Keywords: [pario]

Available from the publisher: [DOI]

Available from the author: [bib]
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[Kotz research]