Abstract
The advantages of the eXtensible Markup Language, XML, come at a cost, especially for huge datasets or when used on small mobile devices. Several known XML-conscious compressors used in real time environments compress data during data streaming. This paper presents a study of new real time algorithms that exploit local structural redundancies of pre-order traversals of an XML tree. These algorithms focus on reducing the overhead of streaming data while maintaining load balancing between the sender and receiver. Our algorithms have similar or better performance than existing algorithms, while emphasizing low memory and processing overheads.
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Acknowledgements
The work of the first and second authors are partially supported by the NSERC CSG-M (Canada Graduate Scholarship-Masters) and NSERC RG-PIN grant respectively. We would like to thank the anonymous reviewers for their detailed and helpful comments used to improve the final version of our paper.
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Corbin, T., Müldner, T., Miziołek, J.K. (2014). Networked XML Compression by Encoding Pre-order Traversals. In: Krempels, KH., Stocker, A. (eds) Web Information Systems and Technologies. WEBIST 2013. Lecture Notes in Business Information Processing, vol 189. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-44300-2_1
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DOI: https://doi.org/10.1007/978-3-662-44300-2_1
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