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Internet Traffic (internet + traffic)
Selected AbstractsUsing Multinomial Mixture Models to Cluster Internet TrafficAUSTRALIAN & NEW ZEALAND JOURNAL OF STATISTICS, Issue 2 2004Murray Jorgensen Summary The paper considers the clustering of two large sets of Internet traffic data consisting of information measured from headers of transmission control protocol packets collected on a busy arc of a university network connecting with the Internet. Packets are grouped into 'flows' thought to correspond to particular movements of information between one computer and another. The clustering is based on representing the flows as each sampled from one of a finite number of multinomial distributions and seeks to identify clusters of flows containing similar packet-length distributions. The clustering uses the EM algorithm, and the data-analytic and computational details are given. [source] Traffic locality characteristics in a parallel forwarding systemINTERNATIONAL JOURNAL OF COMMUNICATION SYSTEMS, Issue 9 2003W. Shi Abstract Due to the widening gap between the performance of microprocessors and that of memory, using caches in a system to take advantage of locality in its workload has become a standard approach to improve overall system performance. At the same time, many performance problems finally reduce to cache performance issues. Locality in system workload is the fact that makes caching possible. In this paper, we first use the reuse distance model to characterize temporal locality in Internet traffic. We develop a model that closely matches the empirical data. We then extend the work to investigate temporal locality in the workload of multi-processor forwarding systems by comparing locality under different packet scheduling schemes. Our simulations show that for systems with hash-based schedulers, caching can be an effective way to improve forwarding performance. Based on flow-level traffic characteristics, we further discuss the relationship between load-balancing and hash-scheduling, which yields insights into system design. Copyright © 2003 John Wiley & Sons, Ltd. [source] A view of the data on P2P file-sharing systemsJOURNAL OF THE AMERICAN SOCIETY FOR INFORMATION SCIENCE AND TECHNOLOGY, Issue 10 2009Wai Gen Yee Peer-to-peer (P2P) file sharing is a leading Internet application. Millions of users use P2P file-sharing systems daily to search for and download files, accounting for a large portion of Internet traffic. Due to their scale, it is important to fully understand how these systems work. We analyze user queries and shared files collected on the Gnutella system, draw some conclusions on the nature of the application, and propose some research problems. [source] Public IP network infrastructure evolutions to support emerging digital video servicesBELL LABS TECHNICAL JOURNAL, Issue 2 2009Marc Verhoeyen Of all the services offered over a worldwide public network, digital video-based services, even at this early stage of development, are growing at such an astonishing rate that they will soon constitute the largest portion of Internet traffic. We are witnessing this today with the Internet television (TV) phenomenon, with YouTube, Netflix's online offering, and BBC's iPlayer serving as prominent examples. To optimize video-dominated networks with respect to the required transport capacity (and also to reduce the response time the end user experiences), these services need to be supported by new networking capabilities. Caching in conjunction with specific unicast and multicast techniques for ingress and egress traffic can achieve this goal. In this paper we discuss how, explicitly by using cache cooperation techniques, we can deal with heterogeneous content preferences among end users. The paper shows simulation results and discusses relevant parameters with respect to the Internet TV use cases mentioned. Finally, it provides an outlook on the longer term and demonstrates that investment in these new capabilities is future-safe. © 2009 Alcatel-Lucent. [source] |