A new XML-aware compression technique for improving performance of healthcare information systems over hospital networks

A new XML-aware compression technique for improving performance of healthcare information systems over hospital networks

Al-Shammary, D and Khalil, I 2010, 'A new XML-aware compression technique for improving performance of healthcare information systems over hospital networks', in Emilio Sacristan (ed.) 32nd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, Piscataway, New Jersey, USA, 15-17 July 2010, pp. 4440-4443.

Document type:	Conference Paper
Collection:	Conference Papers

Title	A new XML-aware compression technique for improving performance of healthcare information systems over hospital networks
Author(s)	Al-Shammary, D Khalil, I
Year	2010
Conference name	IEEE EMBC 2010
Conference location	Piscataway, New Jersey, USA
Conference dates	15-17 July 2010
Proceedings title	32nd Annual International Conference of the IEEE Engineering in Medicine and Biology Society
Editor(s)	Emilio Sacristan
Publisher	IEEE Engineering in Medicine and Biology Society
Place of publication	Piscataway, New Jersey, USA
Start page	4440
End page	4443
Total pages	4
Abstract	Most organizations exchange, collect, store and process data over the Internet. Many hospital networks deploy Web services to send and receive patient information. SOAP (Simple Object Access Protocol) is the most usable communication protocol for Web services. XML is the standard encoding language of SOAP messages. However, the major drawback of XML messages is the high network traffic caused by large overheads. In this paper, two XML-aware compressors are suggested to compress patient messages stemming from any data transactions between Web clients and servers. The proposed compression techniques are based on the XML structure concepts and use both fixedlength and Huffman encoding methods for translating the XML message tree. Experiments show that they outperform all the conventional compression methods and can save tremendous amount of network bandwidth.
Subjects	Distributed and Grid Systems Networking and Communications
Keyword(s)	Communication protocols Compression methods Compression techniques Data transaction Health care information system Hospital networks Huffman encoding Improving performance Network bandwidth Network traffic Patient information Process data Simple object access protocols SOAP messages Web clients
Copyright notice	© 2010 IEEE
ISBN	9781424441242

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