A Parallel Processing Framework for RDF Design and Issues
Castagna, Paolo; Seaborne, Andy; Dollin, Chris
Keyword(s): rdf, parallel processing
Abstract: This document describes the hardware and software architecture of a parallel processing framework for RDF data. The aim of the framework is to simplify the implementation of parallel programs and to support execution over cluster of off-the-shelf machines. From a scripting language, logical execution plans are constructed and then compiled into physical execution plans which are scheduled for execution in parallel over a cluster. At runtime, processing elements simply exchange data as streams of tuples. We are not pioneers in this field; however, not many of the existing systems support parallel RDF data processing.
External Posting Date: October 21, 2009 [Fulltext]. Approved for External Publication
Internal Posting Date: October 21, 2009 [Fulltext]