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A New Fast Approximate Multi-String Match and Search Method - Faster Grepping with ugrep
Improving the Double Exponential Quadrature Tanh-Sinh, Sinh-Sinh and Exp-Sinh Formulas
Schema Slicing Methods to Reduce Development Costs of WSDL-Based Web Services
Constructing Fast Lexical Analyzers with RE/flex
SJOT: Schemas for JSON Objects
How to Use Amazon Simple Storage Service (S3) in C++ with gSOAP
A Framework for Service-Oriented Computing with C and C++ Web Service Components published in ACM Transactions on Internet Technology, Vol.8, No.3, 2008
An Overview and Evaluation of Web Services Security Performance Optimizations published in the proceedings of the IEEE International Conference on Web Services 2008
High-Performance XML Parsing and Validation with Permutation Phrase Grammar Parsers published in the proceedings of the IEEE International Conference on Web Services 2008
A Table-Driven Streaming XML Parsing Methodology for High-Performance Web Services published in the proceedings of the IEEE International Conference on Web Services 2006
Exploring Remote Object Coherence in XML Web Services published in the proceedings of the IEEE International Conference on Web Services 2006
Constructing Finite State Automata for High-Performance XML Web Services published in the proceedings of the IEEE International Conference on Web Services 2004
Pushing the SOAP Envelope With Web Services for Scientific Computing published in the proceedings of the IEEE International Conference on Web Services 2003
The gSOAP Toolkit for Web Services and Peer-To-Peer Computing Networks published in the proceedings of IEEE Cluster Computing and the Grid 2002
Are Web Services Scale Free?
A Table-Driven Streaming XML Parsing Methodology for High-Performance Web Services ================================================================================== <p align="right"><i>by Wei Zhang and Robert A. van Engelen, published in the proceedings of the IEEE International Conference on Web Services 2006</i></p> This paper presents a table-driven streaming XML parsing methodology, called TDX. TDX expedites XML parsing by pre-recording the states of an XML parser in tabular form and by utilizing an efficient runtime streaming parsing engine based on a push-down automaton. The parsing tables are automatically produced from the XML schemas of a WSDL service description. Because the schema constraints are pre-encoded in a parsing table, the approach effectively implements a schema-specific XML parsing technique that combines parsing and validation into a single pass. This significantly increases the performance of XML Web services, which results in better response time and may reduce the impact of the flash-crowd effect. To implement TDX, we developed a parser construction toolkit to automatically construct parsers in C code from WSDLs and XML schemas. We applied the toolkit to an example Web services application and measured the raw performance compared to popular high-performance parsers written in C/C++, such as eXpat, gSOAP, and Xerces. The performance results show that TDX can be an order of magnitude faster. ![Download](images/pdf.png) [Article](articles/icws2006tdx.pdf) <p align="right"><i>Copyright (c) 2018, Robert van Engelen, Genivia Inc. All rights reserved.</i></p>