Performance Optimization of Web Based RSS Aggregator

RSS is a family of web feed formats used to publish frequently updated works and delivers its information as an XML file called an RSS feed. RSS feeds can be read using software called "aggregator", which can be web-based and desktop-based. Web Based RSS Aggregator is a popular service which surpasses the need of desktop RSS Aggregator. It is a highly dynamic web service. Dynamic web services need high performance and customer satisfaction maintaining large data sets. A solemn competition is running between the web service providers. This thesis paper focused to optimize the performance challenges faced by a Web based RSS Aggregator company pageflakes which already become first in this arena beating Google, Microsoft, and Yahoo etc. In our work, different Web Based RSS Aggregators have been investigated and their features and architecture have been compared to get a clear perception of their services and existing challenges. Some existing technologies of web services have been examined and ways to effectively using those have been proposed. The proposal was implemented in smaller scale and effectiveness of those has been proved statistically.