DocumentCode
2221971
Title
Biologically inspired obsolescence management in mobile agent systems: A dynamic, service oriented approach
Author
Coulter, Duncan Anthony ; Ehlers, Elizabeth
Author_Institution
Acad. of Comput. Sci. & Software Eng., Univ. of Johannesburg, Johannesburg, South Africa
fYear
2011
fDate
5-8 June 2011
Firstpage
2063
Lastpage
2070
Abstract
Ubiquitous computing heralds an era marked by the increasing pervasiveness of computational hardware throughout a given environment. In order to capitalize on the increased abundance of the underlying infrastructure multi-agent systems will be required to reflect the characteristics of the ubiquitous networks upon which they operate. Due to the potential for limited communication capacity experienced by agents in the wild it will become increasingly important for mobile agents to migrate to devices in greater proximity to the problem upon which they are working or the resources they require. A result of highly mobile agents operating in potentially constrained computational and communication environments is that widely used command and coordination structures are no longer able to scale efficiently. Engineers are currently struggling with aspects of managing the physical devices which comprise such networks, particularly the obsolescence management of their constituent, highly dispersed, hardware. Analogously, the obsolescence management of deployed agents is of increasing concern. The paper examines and synthesizes several biological metaphors which may be employed in order to mitigate the inherent complexity of managing deployed mobile agent systems and presents this functionality in a service oriented manner.
Keywords
mobile agents; multi-agent systems; ubiquitous computing; biological metaphors; biologically inspired obsolescence management; mobile agent systems; multiagent system; ubiquitous computing; ubiquitous networks; Biological system modeling; Genetics; Immune system; Mobile agents; Mobile communication; Multiagent systems; Organisms; Biologically inspired computing; dynamic obsolesence management; multi-agent systems;
fLanguage
English
Publisher
ieee
Conference_Titel
Evolutionary Computation (CEC), 2011 IEEE Congress on
Conference_Location
New Orleans, LA
ISSN
Pending
Print_ISBN
978-1-4244-7834-7
Type
conf
DOI
10.1109/CEC.2011.5949869
Filename
5949869
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