Tagged-Sub Optimal Code (TSC) Compression for Improving Performance of Web Services

Abstract Compression can be used to reduce the size of files and speeding up the transmission time over networks. However, not all compression techniques have the same features and capabilities to improve the performance of transmission over networks. This paper shows a comparison between different compression algorithms in order to improve the performance of web-services over the Internet. Nowadays, Service Oriented Architecture (SOA) being used heavily between applications as interaction between loosely coupled services, which are function independently. Therefore, fast and efficient services offered through the web services are needed. Enhancing performance of web services, would improve overall system's performance. As a result, compressing and reducing the size of SOAP messages traveling over the network, improves the webs-service performance. This paper compares the performance of web-services by compressing SOAP messages using Tagged Sub-optimal Code (TSC) and Huffman Encoding Algorithms. Experimental results show that web-services compressed using TSC speeds up the performance of web-services compared to normal web-services and web-services compressed using Huffman encoding.