Towards evolution-based autonomy in large-scale systems

Anderson, D., Harvey, P. , Kaneta, Y., Papadopoulos, P., Rodgers, P. and Roper, M. (2022) Towards evolution-based autonomy in large-scale systems. In: GECCO '22: Genetic and Evolutionary Computation Conference, Boston, Massachusetts, USA, 9-13 July 2022, pp. 1924-1925. ISBN 9781450392686 (doi: 10.1145/3520304.3533975)

Abstract

To achieve truly autonomous behaviour systems need to adapt to not only previously unseen circumstances but also previously unimagined ones. A hierarchical evolutionary system is proposed which is capable of displaying the emergent behaviour necessary to achieve this goal. This paper reports on the practical challenges encountered in implementing this proposed approach in a large-scale open-source system. In "Evolutionary Autonomous Networks" [3], Harvey et al. present their vision for an autonomous network utilising online evolution to achieve guided emergent behaviour. Their approach presents a radical strategy to improve a network's ability to cope with uncertainty and change. The aim of this paper is to present the initial steps we have taken towards realising this vision by examining how evolutionary-based autonomy may be introduced into an example large-scale system-a content delivery network (CDN). This goal is not without its challenges as there are significant hurdles imposed by the design and implementation of the CDN which must be overcome.

• Item Type: Conference Proceedings
• Status: Published
• Refereed: Yes
• Glasgow Author(s) Enlighten ID: Harvey, Dr Paul
• Authors: Anderson, D., Harvey, P., Kaneta, Y., Papadopoulos, P., Rodgers, P., and Roper, M.
• College/School: College of Science and Engineering > School of Engineering > Electronics and Nanoscale Engineering
• ISBN: 9781450392686