The Internet and the future of financial markets
Communications of the ACM
New TPC benchmarks for decision support and web commerce
ACM SIGMOD Record
A Roadmap of Agent Research and Development
Autonomous Agents and Multi-Agent Systems
Unraveling the Web Services Web: An Introduction to SOAP, WSDL, and UDDI
IEEE Internet Computing
Trends in Cooperative Distributed Problem Solving
IEEE Transactions on Knowledge and Data Engineering
Data Compression Support in Databases
VLDB '94 Proceedings of the 20th International Conference on Very Large Data Bases
Bringing Discrete Event Simulation Concepts into Multi-agent Systems
UKSIM '08 Proceedings of the Tenth International Conference on Computer Modeling and Simulation
Evaluating the size of the SOAP for integration in b2b
KES'05 Proceedings of the 9th international conference on Knowledge-Based Intelligent Information and Engineering Systems - Volume Part IV
An improved ALOHA algorithm for RFID tag identification
KES'06 Proceedings of the 10th international conference on Knowledge-Based Intelligent Information and Engineering Systems - Volume Part III
A dynamic threshold technique for XML data transmission on networks
KES'06 Proceedings of the 10th international conference on Knowledge-Based Intelligent Information and Engineering Systems - Volume Part III
Hi-index | 0.00 |
Since XML became an official recommendation of the World Wide Web Consortium (W3C) in 1998, it is 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. This requirement is particularly important for wireless data communications. It is a common technical challenge for researchers in XML-driven networks to have good performance. 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 payload, 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, 11-13] to an agent-oriented enabling technology, namely Dynamic Adaptive Threshold Transmission (DATT) for XML data on networks. 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], supported by the fact that the time taken is 220.6 times better.