Imai, Pierre. Exploring online evolution of network stacks. 2013, PhD Thesis, University of Basel, Faculty of Science.
Official URL: http://edoc.unibas.ch/diss/DissB_10689
For this purpose we present an autonomous stack composition framework and configuration logic inspired by biological evolution: Stack configurations (compositions) compete against each other on-line, new compositions evolve from the best previous performers. Compositions are further selected and pooled together according to the traffic and network conditions, forming a long-term situation-aware knowledge base.
We demonstrate the feasibility of our runtime adaptive approach by exposing our implementation to simulated as well as real world Internet traffic. Beyond individual “zero knob protocols” we show that our network management system not only tunes a network stack’s parameters but can also change its composition on the fly.
This lowers the barrier for introducing novel protocols, move to other run-time systems or accommodate new traffic patterns. Ultimately, this lets engineers of future computer networks focus on specialised rather than smallest common denominator solutions, as the run-time choice and management is taken care of by our system.
|Committee Members:||Plagemann, Thomas|
|Faculties and Departments:||05 Faculty of Science > Departement Mathematik und Informatik > Informatik > Computernetzwerke (Tschudin)|
|Bibsysno:||Link to catalogue|
|Number of Pages:||244 S.|
|Last Modified:||30 Jun 2016 10:55|
|Deposited On:||31 Mar 2014 09:59|
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