EmerGen(e)tic:Exploring the use of genetic algorithms in emergent distributed systems

Goldsworthy, Ben (2017) EmerGen(e)tic:Exploring the use of genetic algorithms in emergent distributed systems. UNSPECIFIED. (Unpublished)

Full text not available from this repository.

Abstract

Adaptive and emergent systems exist to attempt to answer the deficiencies inherent to distributed systems, and the necessarily finite ability of any programmer to predict all possible eventualities in which his software may one day find itself. This paper argues that these systems fail to go far enough, and then proposes a further development—genetic systems—which utilises genetic programming to extend the versatility of a given system massively, if not infinitely. This paper then proceeds to detail the EmerGen(e)tic framework for rapidly testing genetic algorithm modules within emergent systems, as well as an example module pertaining to the cache updating behaviour of a web server. This paper concludes by proposing further avenues of potentially-fruitful research based upon these programs and its findings.

Item Type: Other
Departments: Faculty of Science and Technology > School of Computing & Communications
ID Code: 136501
Deposited By: ep_importer_pure
Deposited On: 03 Sep 2019 12:10
Refereed?: No
Published?: Unpublished
Last Modified: 18 Dec 2019 00:27
URI: https://eprints.lancs.ac.uk/id/eprint/136501

Actions (login required)

View Item View Item