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Proceedings ArticleDOI

Data acquisition technology of link layer filtering under Linux environment

Xiaoyu Ma, +1 more
- Vol. 5, pp 2490-2492
TLDR
The architecture of Linux network stack, the principles of link layer's filtering acquisition, and the network card drivers are described, which reduces the packet loss rate, saved the system resources, and enhanced the processing efficiency.
References
More filters
Proceedings ArticleDOI

Accurate, scalable in-network identification of p2p traffic using application signatures

TL;DR: In this article, the authors identify the application level signatures by examining some available documentations, and packet-level traces, and then utilize the identified signatures to develop online filters that can efficiently and accurately track the P2P traffic even on high-speed network links.
Proceedings ArticleDOI

Transport layer identification of P2P traffic

TL;DR: In this article, the authors developed a systematic methodology to identify P2P flows at the transport layer, i.e., based on connection patterns of peer-to-peer networks, without relying on packet payload.
Journal ArticleDOI

Characterizing unstructured overlay topologies in modern P2P file-sharing systems

TL;DR: This paper presents Cruiser, a fast and accurate P2P crawler, which can capture a complete snapshot of the Gnutella network of more than one million peers in just a few minutes, and shows how inaccuracy in snapshots can lead to erroneous conclusions--such as a power-law degree distribution.
Proceedings Article

Zero-copy TCP in Solaris

TL;DR: A new feature in Solaris is described that uses virtual memory remapping combined with checksumming support from the networking hardware, to eliminate data-touching overhead from the TCP/IP protocol stack.
Proceedings ArticleDOI

Characterizing unstructured overlay topologies in modern P2P file-sharing systems

TL;DR: This paper characterize the graph-related properties of individual overlay snapshots and overlay dynamics across hundreds of back-to-back snapshots, and shows how inaccuracy in snapshots can lead to erroneous conclusions--such as a power-law degree distribution.
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