Scalable networked information processing environment (SNIPE)

Graham E. Fagg, Keith Moore, Jack J. Dongarra

Research output: Contribution to journalArticlepeer-review

14 Scopus citations

Abstract

Scalable Networked Information Processing Environment (SNIPE) is a metacomputing system that aims to provide a reliable, secure, fault-tolerant environment for long-term distributed computing applications and data stores across the global Internet. This system combines global naming and replication of both processing and data to support large-scale information processing applications leading to better availability and reliability than currently available with typical cluster computing and/or distributed computer environments. To facilitate this the system supports: distributed data collection, distributed computation, distributed control and resource management, distributed output and process migration. The underlying system supports multiple communication paths, media and routing methods to aid performance and robustness across both local and global networks. This paper details the goals, design and an initial implementation of SNIPE, and then demonstrates its usefulness in supporting a middleware project. Initial communications performance is also presented.

Original languageEnglish
Pages (from-to)595-605
Number of pages11
JournalFuture Generation Computer Systems
Volume15
Issue number5
DOIs
StatePublished - Oct 1999

Fingerprint

Dive into the research topics of 'Scalable networked information processing environment (SNIPE)'. Together they form a unique fingerprint.

Cite this