Distributed XML Processing over Multicore Servers

Yoshiyuki Uratani, Hiroshi Koide, Dirceu Cavendish

2014

Abstract

Nowadays, multicore CPU become popular technology to enhance services quality in Web services. This paper characterizes parallel distributed XML processing which can off-load the amount of processing at their servers to networking nodes with varying number of CPU cores. Our implemented distributed XML processing system sends XML documents from a sender node to a server node through relay nodes, which process the documents before arriving at the server. When the relay nodes are connected in tandem, the XML documents are processed in a pipelining manner. When the relay nodes are connected in parallel, the XML documents are processed in a parallel fashion. For well-formedness and grammar validation tasks, the parallel processing reveals inherent advantages compared with pipeline processing regardless of document type, number of CPU cores and processing environment. Moreover, the number of CPU cores impacts efficiency of distributed XML processing via buffer access contention.

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Paper Citation


in Harvard Style

Uratani Y., Koide H. and Cavendish D. (2014). Distributed XML Processing over Multicore Servers . In Proceedings of the 10th International Conference on Web Information Systems and Technologies - Volume 1: WEBIST, ISBN 978-989-758-023-9, pages 200-207. DOI: 10.5220/0004947802000207

in Bibtex Style

@conference{webist14,
author={Yoshiyuki Uratani and Hiroshi Koide and Dirceu Cavendish},
title={Distributed XML Processing over Multicore Servers},
booktitle={Proceedings of the 10th International Conference on Web Information Systems and Technologies - Volume 1: WEBIST,},
year={2014},
pages={200-207},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0004947802000207},
isbn={978-989-758-023-9},
}


in EndNote Style

TY - CONF
JO - Proceedings of the 10th International Conference on Web Information Systems and Technologies - Volume 1: WEBIST,
TI - Distributed XML Processing over Multicore Servers
SN - 978-989-758-023-9
AU - Uratani Y.
AU - Koide H.
AU - Cavendish D.
PY - 2014
SP - 200
EP - 207
DO - 10.5220/0004947802000207