منابع مشابه
Modeling Internet backbone traffic at the flow level
Our goal is to design a traffic model for noncongested Internet backbone links, which is simple enough to be used in network operation, while being as general as possible. The proposed solution is to model the traffic at the flow level by a Poisson shotnoise process. In our model, a flow is a generic notion that must be able to capture the characteristics of any kind of data stream. We analyze ...
متن کاملLong range dependence in Internet backbone traffic
♣ This research was sponsored by WorldCom, Inc. Abstract—We report the first statistical analysis of Internet backbone traffic, based on traces with levels of aggregation 10 times larger and timestamp accuracy 1000 times better than in previous studies. We analyze the first three moments, marginal distributions and correlation structures of packet size, packet inter-arrival time, byte count and...
متن کاملCharacterization and Classification of Internet Backbone Traffic
We contribute to an improved understanding of Internet traffic characteristics by measuring and analyzing modern Internet backbone data. We start the thesis with an overview of several important considerations for passive Internet traffic collection on large-scale network links. The lessons learned from a successful measurement project on academic Internet backbone links can serve as guidelines...
متن کاملOn Measurement and Analysis of Internet Backbone Traffic
In the last decade, the Internet emerged undoubtedly as the key component for commercial and personal communication. The success of the Internet is mainly based on its versatility and flexibility, allowing for the development of network applications ranging from simple text based utilities to complex systems for e-commerce and multi-media content. The ongoing expansion of the Internet is the ca...
متن کاملGraption: Graph-based P2P Traffic Classification at the Internet Backbone
Abstract—Monitoring network traffic and classifying applications are essential functions for network administrators. Current traffic classification methods can be grouped in three categories: (a) flow-based (e.g., packet sizing/timing features), (b) payloadbased, and (c) host-based. Methods from all three categories have limitations, especially when it comes to detecting new applications, and c...
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ژورنال
عنوان ژورنال: ACM SIGMETRICS Performance Evaluation Review
سال: 2002
ISSN: 0163-5999
DOI: 10.1145/511399.511372