Self-Organization and Resilience for Networked Systems:Design Principles and Open Research Issues

Dobson, Simon and Hutchison, David and Mauthe, Andreas Ulrich and Schaeffer-Filho, Alberto Egon and Smith, Paul and Sterbenz, James PG (2019) Self-Organization and Resilience for Networked Systems:Design Principles and Open Research Issues. Proceedings of the IEEE, 107 (4). pp. 819-834. ISSN 0018-9219

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Abstract

Networked systems form the backbone of modern society, underpinning critical infrastructures such as electricity, water, transport and commerce, and other essential services (e.g., information, entertainment, and social networks). It is almost inconceivable to contemplate a future without even more dependence on them. Indeed, any unavailability of such critical systems is--even for short periods--a rather bleak prospect. However, due to their increasing size and complexity, they also require some means of autonomic formation and self-organization. This paper identifies the design principles and open research issues in the twin fields of self-organization and resilience for networked systems. In combination, they offer the prospect of combating threats and allowing essential services that run on networked systems to continue operating satisfactorily. This will be achieved, on the one hand, through the (self-)adaptation of networked systems and, on the other hand, through structural and operational resilience techniques to ensure that they can detect, defend against, and ultimately withstand challenges.

Item Type: Journal Article
Journal or Publication Title: Proceedings of the IEEE
Additional Information: ©2019 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.
Uncontrolled Keywords: /dk/atira/pure/subjectarea/asjc/2200/2208
Subjects:
Departments: Faculty of Science and Technology > School of Computing & Communications
ID Code: 131582
Deposited By: ep_importer_pure
Deposited On: 22 Feb 2019 10:20
Refereed?: Yes
Published?: Published
Last Modified: 26 Feb 2020 04:52
URI: https://eprints.lancs.ac.uk/id/eprint/131582

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