This paper discusses a systems design approach inspired from the autonomic nervous system for ITS applications. This is done not with reference to the employed computing system, but to the requirements of traffic engineering applications. It is argued that the design and development of autonomic traffic management systems must identify the control loop that needs to be endowed with autonomic properties and subsequently use this framework for defining a desired set of self-* properties. A macroscopic network modelling application is considered for showing how autonomic systems design can be used for defining and obtaining self-* properties, with particular emphasis given in self-optimisation
Designing and developing complex multi-domain systems such as autonomic systems and networks is not ...
Autonomic Computing is emerging as a significant new approach to the design of computing systems. It...
Most control systems embodying artificial intelligence (AI) techniques tend to be “reactive” rather ...
Control systems embodying artificial intelligence (AI) techniques tend to be “reactive” rather than ...
Part 4: Problem Solving, Planning and SchedulingInternational audienceControl systems embodying arti...
We describe an architectural approach to achieving the goals of autonomic computing. The architectur...
Autonomic networking set a challenge for the research community to engineer systems and architecture...
Autonomic Systems are computer systems that can self-manage by ensuring that the system is optimal, ...
Autonomic systems present unique design challenges, in that their individual adaptive components may...
<p>> The first practical guide to autonomic computing for advanced students and researchers alike> P...
Autonomic and self-managing systems are increasingly pervasive across an ever-widening spectrum of a...
As in a complex growing mesh technologies field, autonomic computing is an auspicious new approach f...
Abstract — Autonomic systems represent the next generation of software-intensive systems that merge ...
Abstract—Autonomic computing is a research area that ex-tends to numerous different fields of scienc...
Recent advances in technology and computer sci- ence play a key role towards the design of the next ...
Designing and developing complex multi-domain systems such as autonomic systems and networks is not ...
Autonomic Computing is emerging as a significant new approach to the design of computing systems. It...
Most control systems embodying artificial intelligence (AI) techniques tend to be “reactive” rather ...
Control systems embodying artificial intelligence (AI) techniques tend to be “reactive” rather than ...
Part 4: Problem Solving, Planning and SchedulingInternational audienceControl systems embodying arti...
We describe an architectural approach to achieving the goals of autonomic computing. The architectur...
Autonomic networking set a challenge for the research community to engineer systems and architecture...
Autonomic Systems are computer systems that can self-manage by ensuring that the system is optimal, ...
Autonomic systems present unique design challenges, in that their individual adaptive components may...
<p>> The first practical guide to autonomic computing for advanced students and researchers alike> P...
Autonomic and self-managing systems are increasingly pervasive across an ever-widening spectrum of a...
As in a complex growing mesh technologies field, autonomic computing is an auspicious new approach f...
Abstract — Autonomic systems represent the next generation of software-intensive systems that merge ...
Abstract—Autonomic computing is a research area that ex-tends to numerous different fields of scienc...
Recent advances in technology and computer sci- ence play a key role towards the design of the next ...
Designing and developing complex multi-domain systems such as autonomic systems and networks is not ...
Autonomic Computing is emerging as a significant new approach to the design of computing systems. It...
Most control systems embodying artificial intelligence (AI) techniques tend to be “reactive” rather ...