Published 1998 | Version public
Book Section - Chapter

Paraflow: A dataflow distributed data-computing system

Abstract

We describe the Paraflow system for connecting heterogeneous computing services into a flexible and efficient data-mining metacomputer. There are three levels of parallelism: a dataflow paradigm provides functional parallelism, connecting services by channels; each service may be a SPMD parallel program; and each node of the SPMD service may be multithreaded. Paraflow is easily integrated with web-computing, using MIME types, HTTP forms, a Java GUI for setting up the network of services, and a simple API to allow web servers to be utilized in the computation. Emphasis is on providing a bridge from straightforward, public, unauthenticated browsing of data to collaborative, high-performance data-computing.

Additional Information

© Springer-Verlag Berlin Heidelberg 1998.

Additional details

Identifiers

Eprint ID
107106
DOI
10.1007/bfb0037183
Resolver ID
CaltechAUTHORS:20201215-151611216

Related works

Describes
10.1007/bfb0037183 (DOI)

Dates

Created
2020-12-15
Created from EPrint's datestamp field
Updated
2021-11-16
Created from EPrint's last_modified field

Caltech Custom Metadata

Series Name
Lecture Notes in Computer Science
Series Volume or Issue Number
1401