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Real-time capable hardware-based parser for efficient XML interchange

Authors: Vlado Altmann; Jan Skodzik; Peter Danielis; Nam Pham Van; Frank Golatowski; Dirk Timmermann;

Real-time capable hardware-based parser for efficient XML interchange

Abstract

The use of Extensible Markup Language (XML) for data interchange became standard in most computer systems. The benefits of XML documents are their easy handling, dynamic adjustment to nearly all needs, availability of parsers for any programming language, and the human readability. Despite many advantages of XML, it is still primarily applied in software-based systems. The serious drawback of XML is the size of the document and the text-based parsing. Further, the dissemination of the Web service technology in automation demands very fast data processing especially in real-time scenarios. This implies the compactness of the data representation and fast parsing possibility. In such cases, hardware-based solutions are often used to speed up the process. Efficient XML Interchange (EXI) was developed to leverage the deployment of XML in deeply embedded systems. EXI provides very high XML compression rates without additional processing load. However, EXI parsing was only tested in software-based systems. As very fast processing speed is targeted in this work for, e.g., real-time systems, which software-based parsers most probably cannot achieve, we provide an investigation and the prototype implementation of the EXI parser in hardware and compare it to software-based solutions.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
3
Average
Average
Average
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