Stigmergic Interoperability for Autonomic Systems: Managing Complex Interactions in Multi-Manager Scenarios

Hdl Handle:
http://hdl.handle.net/10034/609642
Title:
Stigmergic Interoperability for Autonomic Systems: Managing Complex Interactions in Multi-Manager Scenarios
Authors:
Eze, Thaddeus; Anthony, Richard
Abstract:
The success of autonomic computing has led to its popular use in many application domains, leading to scenarios where multiple autonomic managers (AMs) coexist, but without adequate support for interoperability. This is evident, for example, in the increasing number of large datacentres with multiple managers which are independently designed. The increase in scale and size coupled with heterogeneity of services and platforms means that more AMs could be integrated to manage the arising complexity. This has led to the need for interoperability between AMs. Interoperability deals with how to manage multi-manager scenarios, to govern complex coexistence of managers and to arbitrate when conflicts arise. This paper presents an architecture-based stigmergic interoperability solution. The solution presented in this paper is based on the Trustworthy Autonomic Architecture (TAArch) and uses stigmergy (the means of indirect communication via the operating environment) to achieve indirect coordination among coexisting agents. Usually, in stigmergy-based coordination, agents may be aware of the existence of other agents. In the approach presented here in, agents (autonomic managers) do not need to be aware of the existence of others. Their design assumes that they are operating in 'isolation' and they simply respond to changes in the environment. Experimental results with a datacentre multi-manager scenario are used to analyse the proposed approach.
Affiliation:
University of Chester; University of Greenwich
Citation:
Eze, T., & Anthony, R. (2016). Stigmergic interoperability for autonomic systems: Managing complex interactions in multi-manager scenarios. Paper presented at the 2016 SAI Computing Conference (SAI).
Publisher:
IEEE
Publication Date:
Sep-2016
URI:
http://hdl.handle.net/10034/609642
DOI:
10.1109/SAI.2016.7556029
Additional Links:
http://www.saiconference.com/Conferences/Computing2016
Type:
Article
Language:
en
ISBN:
978-1-4673-8460-5
Appears in Collections:
Computer Science

Full metadata record

DC FieldValue Language
dc.contributor.authorEze, Thaddeusen
dc.contributor.authorAnthony, Richarden
dc.date.accessioned2016-05-18T16:00:16Zen
dc.date.available2016-05-18T16:00:16Zen
dc.date.issued2016-09en
dc.identifier.citationEze, T., & Anthony, R. (2016). Stigmergic interoperability for autonomic systems: Managing complex interactions in multi-manager scenarios. Paper presented at the 2016 SAI Computing Conference (SAI).en
dc.identifier.isbn978-1-4673-8460-5-
dc.identifier.doi10.1109/SAI.2016.7556029-
dc.identifier.urihttp://hdl.handle.net/10034/609642en
dc.description.abstractThe success of autonomic computing has led to its popular use in many application domains, leading to scenarios where multiple autonomic managers (AMs) coexist, but without adequate support for interoperability. This is evident, for example, in the increasing number of large datacentres with multiple managers which are independently designed. The increase in scale and size coupled with heterogeneity of services and platforms means that more AMs could be integrated to manage the arising complexity. This has led to the need for interoperability between AMs. Interoperability deals with how to manage multi-manager scenarios, to govern complex coexistence of managers and to arbitrate when conflicts arise. This paper presents an architecture-based stigmergic interoperability solution. The solution presented in this paper is based on the Trustworthy Autonomic Architecture (TAArch) and uses stigmergy (the means of indirect communication via the operating environment) to achieve indirect coordination among coexisting agents. Usually, in stigmergy-based coordination, agents may be aware of the existence of other agents. In the approach presented here in, agents (autonomic managers) do not need to be aware of the existence of others. Their design assumes that they are operating in 'isolation' and they simply respond to changes in the environment. Experimental results with a datacentre multi-manager scenario are used to analyse the proposed approach.en
dc.language.isoenen
dc.publisherIEEEen
dc.relation.urlhttp://www.saiconference.com/Conferences/Computing2016en
dc.subjectinteroperabilityen
dc.subjectstigmergyen
dc.subjectautonomic systemen
dc.subjectmulti-agent systemen
dc.subjecttrustworthy architectureen
dc.subjecttrustabilityen
dc.subjectValidationen
dc.subjectdependabilityen
dc.subjectstabilityen
dc.subjectautonomic architectureen
dc.titleStigmergic Interoperability for Autonomic Systems: Managing Complex Interactions in Multi-Manager Scenariosen
dc.typeArticleen
dc.contributor.departmentUniversity of Chester; University of Greenwichen
dc.identifier.urlhttp://ieeexplore.ieee.org/document/7556029/-
dc.identifier.urlhttp://www.proceedings.com/31547.html-
All Items in ChesterRep are protected by copyright, with all rights reserved, unless otherwise indicated.