Reference : Enhancements to Statistical Protocol IDentification (SPID) for Self-Organised QoS in LANs
Scientific congresses, symposiums and conference proceedings : Paper published in a book
Engineering, computing & technology : Computer science
Security, Reliability and Trust
Enhancements to Statistical Protocol IDentification (SPID) for Self-Organised QoS in LANs
Köhnen, Christopher [> >]
Überall, Christian [> >]
Adamsky, Florian mailto [University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) >]
Rakocevic, Veselin [> >]
Rajarajan, Muttukrishnan [> >]
Jäger []
ICCCN 2010 Track on Network Algorithms, Performance Evaluation and Theory (NAPET) (ICCCN 2010 NAPET)
Proceedings of 19th International Conference on Computer Communications and Networks (ICCCN)
[en] Classification; Statistical Analysis; SPID; Packet Identification;QoS;
[en] Since most real-time audio and video applications lack of QoS support, QoS demand of such IP data streams shall be detected and applied automatically. To support QoS in LANs, especially in home environments, a system was developed, which enables self-organised QoS for unmanaged networks through host implementations - in contrast to traditional solutions without network support. It supports per-link reservation and prioritisation and works without a need for application support. One part of this system is an automated traffic identification and classification system, which is subject of this paper. An efficient set of attribute meters, based on the Statistical Protocol IDentification (SPID), was investigated, enhanced and evaluated. We improved the performance, added support for UDP protocols and real-time identification. It is shown that using our implementation efficient near real-time protocol identification on per-flow basis is possible to support self-organised resource reservation.

File(s) associated to this reference

Fulltext file(s):

Limited access
ICCCN2010.pdfPublisher postprint478.67 kBRequest a copy

Bookmark and Share SFX Query

All documents in ORBilu are protected by a user license.