Sources of Inspiration for Autonomic Computing

2013 ◽  
pp. 57-94
Author(s):  
Philippe Lalanda ◽  
Julie A. McCann ◽  
Ada Diaconescu
Keyword(s):  
Autonomic Computing

scholarly journals A Programming Approach to Collective Autonomy

2021 ◽  
Vol 10 (2) ◽  
pp. 27
Author(s):  
Roberto Casadei ◽  
Gianluca Aguzzi ◽  
Mirko Viroli
Keyword(s):  
Autonomous Vehicles ◽  
Autonomic Computing ◽  
Autonomous Agents ◽  
Programming Approach ◽  
Multi Agent Systems ◽  
Agent Systems ◽  
Multi Agent ◽  
Simulated Case ◽  
Complex Settings

Research and technology developments on autonomous agents and autonomic computing promote a vision of artificial systems that are able to resiliently manage themselves and autonomously deal with issues at runtime in dynamic environments. Indeed, autonomy can be leveraged to unburden humans from mundane tasks (cf. driving and autonomous vehicles), from the risk of operating in unknown or perilous environments (cf. rescue scenarios), or to support timely decision-making in complex settings (cf. data-centre operations). Beyond the results that individual autonomous agents can carry out, a further opportunity lies in the collaboration of multiple agents or robots. Emerging macro-paradigms provide an approach to programming whole collectives towards global goals. Aggregate computing is one such paradigm, formally grounded in a calculus of computational fields enabling functional composition of collective behaviours that could be proved, under certain technical conditions, to be self-stabilising. In this work, we address the concept of collective autonomy, i.e., the form of autonomy that applies at the level of a group of individuals. As a contribution, we define an agent control architecture for aggregate multi-agent systems, discuss how the aggregate computing framework relates to both individual and collective autonomy, and show how it can be used to program collective autonomous behaviour. We exemplify the concepts through a simulated case study, and outline a research roadmap towards reliable aggregate autonomy.

An architecture for providing elasticity based on autonomic computing concepts

2016 ◽  
Author(s):  
Emanuel F. Coutinho ◽  
Paulo A. L. Rego ◽  
Danielo G. Gomes ◽  
José Neuman de Souza
Keyword(s):  
Autonomic Computing

Security in autonomic computing

2005 ◽  
Vol 33 (1) ◽  
pp. 2-5 ◽  
Author(s):  
David M. Chess
Keyword(s):  
Autonomic Computing

Autonomic Computing through Reuse of Variability Models at Runtime: The Case of Smart Homes

Computer ◽  
2009 ◽  
Vol 42 (10) ◽  
pp. 37-43 ◽  
Author(s):  
Carlos Cetina ◽  
Pau Giner ◽  
Joan Fons ◽  
Vicente Pelechano
Keyword(s):  
Autonomic Computing ◽  
Smart Homes ◽  
Models At Runtime

Practical Autonomic Computing

2006 ◽  
Author(s):  
George Cybenko ◽  
Vincent Berk ◽  
Ian Gregorio-de.souza ◽  
Chad Behre
Keyword(s):  
Autonomic Computing

The Foundations of Autonomic Computing

2005 ◽  
pp. 11-157-11-175 ◽  
Author(s):  
Bithika Khargaria ◽  
Salim Hariri ◽  
Zhen Li ◽  
Manish Parashar
Keyword(s):  
Autonomic Computing

Overview of Autonomic Computing

2006 ◽  
pp. 3-18 ◽  
Author(s):  
Alan Ganek
Keyword(s):  
Autonomic Computing
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