Practical Online Network Stack Evolution

Author

Imai, Pierre ; Tschudin, Christian

Author_Institution

Comput. Sci. Dept., Univ. of Basel, Basel, Switzerland

fYear

2010

fDate

27-28 Sept. 2010

Firstpage

34

Lastpage

41

Abstract

Protocol stacks can optimize their performance well for pre-defined environments and are usually hand-engineered in advance: This means that adding new protocols or drastically changing the run-time system or assumed traffic patterns would require re-engineering. As an alternative we present an autonomous stack composition framework inspired by biological evolution: Compositions compete online and new compositions evolve from the best previous performers. We demonstrate the feasibility of our runtime adaptive approach and show through simulations that it can find efficient solutions where offline approaches fail.

Keywords

Internet; telecommunication traffic; transport protocols; biological evolution; flexible autonomous network stack composition framework; online network stack evolution; protocol stack; runtime adaptive approach; traffic pattern; Bioinformatics; Connectors; Engines; Evolution (biology); Genomics; Protocols; Steering systems; Protocol stack composition; autonomic network; knowledge plane; network architecture; network evolution; runtime protocol switching; self-evaluation; self-optimization;

fLanguage

English

Publisher

ieee

Conference_Titel

Self-Adaptive and Self-Organizing Systems Workshop (SASOW), 2010 Fourth IEEE International Conference on

Conference_Location

Budapest

Print_ISBN

978-1-4244-8684-7

Electronic_ISBN

978-0-7695-4229-4

Type

conf

DOI

10.1109/SASOW.2010.11

Filename

5729592