A smart Compressed XML Data on Networks

Abstract—It is well known that XML became an official recommendation of the World Wide Web Consortium (W3C) in 1998, it is now increasingly being used to transmit data on networks but is a verbose format and needs an efficient encoding to send relatively large amounts of data efficiently, which is most attractive to wireless data communications. It is a common technical challenge for researchers in XML-driven networks to have good performance. There are many papers discussed this issues, such as one may employ a middleware to enhance performance by minimizing the impact of transmission time [1, 3]. Normally, to reduce the amount of data sent the XML documents are converted to a binary format using a compression routine such as Gzip. However while this would reduce the amount of data, it results in an increase in the CPU time as the XML document must be compressed before being sent and uncompressed when it is received. In this paper we extended our previous research results [2, 11-15] to an enabling technology, namely Dynamic Adaptive Threshold Transmission (DATT) for XML data on networks, in particularly focusing on “dynamic” nature. We also show the experimental results obtained from our technique and that from the Network Adaptable Middleware (NAM) established by Ghandeharizadeh et al [1]. Experimental results show that our method is superior to the NAM method [1], which supported by the fact that the time taken is 220.6 times better in the applied regions. Keywords-XML, network adaptable middleware, efficient XML, internet middleware, efficient communication on a network. I.