Exploiting Data-Flow for Fault-Tolerance in a Wide-Area Parallel System
Abstract
Wide-area parallel processing systems will soon be available to researchers to solve a range of problems. In these systems, it is certain that host failures and other faults will be a common occurrence. Unfortunately, most parallel processing systems have not been designed with fault-tolerance in mind. Mentat is a high-performance objec t-oriented parallel processing system that is based on an extension of the data-flow model. The functional nature of data-flow enables both parallelism and fault- tolerance. In this paper, we exploit the data-flow underpinning of Mentat to provide easy-to-use and transparent fault-tolerance. We present results on both a small-scale network and a wide-area heterogeneous environment that consists of three sites: the National Center for Super computing Applications, the University of Virginia and the NASA Langley Research Center.
Document Details
- Document Type
- Technical Report
- Publication Date
- Jan 01, 1996
- Accession Number
- ADA466238
Entities
People
- Andrew S. Grimshaw
- Anh Nguyen-tuong
- Mark Hyett
Organizations
- University of Virginia