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Promotionsvortrag von Michael Kleis

Im Rahmen seines Promotionsverfahrens hält 
 
 
Herr Dipl.-Math. Michael Kleis 
 
 
am Montag, 30.03.2009, 11.00 Uhr, im Raum 01.07.023, MI-Gebäude, Boltzmannstr. 3 in Garching einen Vortrag zum Thema 
 
 
"CSP, Cooperative Service Provisioning using Peer-to-Peer Principles" 
 
 
Betreuer: Prof. Georg Carle 
 
 


Zusammenfassung 

Current challenges for Internet service provisioning include 
incorporating an increasing number of wireless and wired network 
technologies, a variety of heterogeneous end user terminals and the 
requirements of delay and bandwidth sensitive multimedia services. 
 
There are two main obstacles for flexible media provisioning on top of 
today's Internet. First the end-to-end networking paradigm which is 
based on a service and data unaware transport, and secondly a lack of 
high level communication abstractions. 
 
To address the first point this thesis proposes a methodology to 
integrate the Network Provider into the process of service provisioning. 
The proposed cooperative service provisioning (CSP) demands an 
interaction between Service Provider, Network Provider and Client. 
CSP can be applied to Provider as well as Peer-to-Peer scenarios. 
 
To address the second point, the thesis adopts a Service Overlay 
approach. It is studied how the principle of Distributed Hash Tables 
(DHTs) can be extended to realise a distributed control plane for a 
decentral and reactive creation of Service Overlays. As a prerequisite, 
a methodology to reduce Service Overlay related routing problems to 
search problems is developed. 
 
With regard to the required Quality of Service (QoS) measurements, the 
thesis focuses on scalable and time efficient estimation techniques. As 
a result, two new delay prediction schemes have been developed which 
improve estimation accuracy when compared to the state of the art. 
Furthermore, a novel approach to bandwidth estimation is investigated. 
It combines methods from landmark based delay estimation with a 
transformation step and has favourable estimation accuracy. 

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