[Show abstract][Hide abstract] ABSTRACT: A typical step in the model-based evaluation of communication systems is to fit measured data to analytically tractable distributions. Due to the increased speed of today's networks, even basic measurements, such as logging the requests at a Web server, can quickly generate large data traces with millions of entries. Employing complex fitting algorithms on such traces can take a significant amount of time. In this paper, we focus on the Expectation Maximization-based fitting of heavy- tailed distributed data to hyper-exponential distributions. We present a data aggregation algorithm which accelerates the fitting by several orders of magnitude. The employed aggregation algorithm has been derived from a sampling stratification technique and adapts dynamically to the distribution of the data. We illustrate the performance of the algorithm by applying it to empirical and artificial data traces.
Telecommunication Networking Workshop on QoS in Multiservice IP Networks, 2008. IT-NEWS 2008. 4th International; 03/2008
[Show abstract][Hide abstract] ABSTRACT: The World Wide Web has undergone major changes in recent years. The idea to see the Web as a platform for services instead
of a one-way source of information has come along with a number of new applications, such as photo and video sharing portals
In this paper, we study how these changes affect the nature of the data distributed over the World Wide Web. To do so, we
compare two data traces collected at the web proxy server of the RWTH Aachen. The first trace was recorded in 2000, the other
more than seven years later in 2007. We show the major differences, and the similarities, between the two traces and compare
our observations with other work. The results indicate that traditional proxy caching is no longer effective in typical university
Managing Large-Scale Service Deployment, 19th IFIP/IEEE International Workshop on Distributed Systems: Operations and Management, DSOM 2008, Samos Island, Greece, September 22-26, 2008. Proceedings; 01/2008
[Show abstract][Hide abstract] ABSTRACT: The Quality of Services (QoS) guaranteed by the Internet Service Providers (ISPs) is an important factor for users’ satisfaction in using the Internet. The implementation of the web proxy caching has been implemented to support this objective and also support the security procedure of the organizations. However, the success of guaranteeing the QoS of each ISP must be depended on the cache size and efficient caching policy. This paper proposes a new architecture of cache farming with the recommender system concept to manage users’ requirements. This solution helps reducing the retrieval time and also increasing the hit rate although the number of users increases without expanding the size of caches in the farm.
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