International Conference on Autonomic and Autonomous Systems, Rome, Italien

Abbrevation

ICAS

Link

http://www.iaria.org/conferences2015/CfPICAS15.html

City

Rome

Country

Italy

Deadline Paper

2014-12-24

Start Date

2015-05-24

End Date

2015-05-29

Abstract

The ICAS 2015 (International Conference on Autonomic and Autonomous Systems) is a multi–track event covering related topics on theory and practice on systems automation, autonomous systems and autonomic computing. The main tracks refer to the general concepts of systems automation, and methodologies and techniques for designing, implementing and deploying autonomous systems. Next tracks develop around design and deployment of context–aware networks, services and applications, and the design and management of self–behavioral networks and services. It is also considering monitoring, control, and management of autonomous self–aware and context–aware systems and topics dedicated to specific autonomous entities, namely, satellite systems, nomadic code systems, mobile networks, and robots. It has been recognized that modeling (in all forms this activity is known) is the fundamental for autonomous subsystems, as both managed and management entities must communicate and understand each other. Small–scale and large–scale virtualization and model–driven architecture, as well as management challenges in such architectures are considered. Autonomic features and autonomy requires a fundamental theory behind and solid control mechanisms. These topics give credit to specific advanced practical and theoretical aspects that allow subsystem to expose complex behavior. It is aimed to expose specific advancements on theory and tool in supporting advanced autonomous systems. Domain case studies (policy, mobility, survivability, privacy, etc.) and specific technology (wireless, wireline, optical, e–commerce, banking, etc.) case studies are targeted. A special track on mobile environments is indented to cover examples and aspects from mobile systems, networks, codes, and robotics. Pervasive services and mobile computing are emerging as the next computing paradigm in which infrastructure and services are seamlessly available anywhere, anytime, and in any format. This move to a mobile and pervasive environment raises new opportunities and demands on the underlying systems. In particular, they need to be adaptive, self–adaptive, and context–aware. Adaptive and self–management context–aware systems are difficult to create, they must be able to understand context information and dynamically change their behavior at runtime according to the context. Context information can include the user location, his preferences, his activities, the environmental conditions and the availability of computing and communication resources. Dynamic reconfiguration of the context–aware systems can generate inconsistencies as well as integrity problems, and combinatorial explosion of possible variants of these systems with a high degree of variability can introduce great complexity. Traditionally, user interface design is a knowledge–intensive task complying with specific domains, yet being user friendly. Besides operational requirements, design recommendations refer to standards of the application domain or corporate guidelines. Commonly there is a set of general user interface guidelines; the challenge is due to a need for cross–team expertise. Required knowledge differs from one application domain to another, and the core knowledge is subject to constant changes and to individual perception and skills. Passive approaches allow designers to initiate the search for information in a knowledge–database to make accessible the design information for designers during the design process. Active approaches, e.g., constraints and critics, have been also developed and tested. These mechanisms deliver information (critics) or restrict the design space (constraints) actively, according to the rules and guidelines. Active and passive approaches are usually combined to capture a useful user interface design. All these points pose considerable technical challenges and make self–adaptable context–aware systems costly to implement. These technical challenges lead the context–aware system developers to use improved and new concepts for specifying and modeling these systems to ensure quality and to reduce the development effort and costs. <table border="0" cellpadding="0" cellspacing="0"><tbody><tr> <td valign="top" width="167">SYSAT</td> <td valign="top" width="492">Advances in system automation</td> </tr> <tr> <td valign="top" width="167">AUTSY</td> <td valign="top" width="492">Theory and Practice of Autonomous Systems</td> </tr> <tr> <td valign="top" width="167">AWARE</td> <td valign="top" width="492">Design and Deployment of Context–awareness Networks, Services and Applications</td> </tr> <tr> <td valign="top">AUTONOMIC</td> <td valign="top">Autonomic Computing: Design and Management of Self–behavioral Networks and Services</td> </tr> <tr> <td valign="top" width="167">CLOUD</td> <td valign="top" width="492">Cloud computing and Virtualization</td> </tr> <tr> <td valign="top" width="167">MCMAC</td> <td valign="top" width="492">Monitoring, Control, and Management of Autonomous Self–aware</td> </tr> <tr> <td valign="top" width="167">CASES</td> <td valign="top" width="492">Automation in specialized mobile environments</td> </tr> <tr> <td valign="top" width="167">ALCOC</td> <td valign="top" width="492">Algorithms and theory for control and computation</td> </tr> <tr> <td valign="top" width="167">MODEL</td> <td valign="top" width="492">Modeling, virtualization, any–on–demand, MDA, SOA</td> </tr> <tr> <td valign="top">SELF</td> <td valign="top">Self–adaptability and self–management of context–aware systems</td> </tr> <tr> <td valign="top">KUI</td> <td valign="top">Knowledge–based user interface </td> </tr> <tr> <td valign="top">AMMO</td> <td valign="top">Adaptive management and mobility</td></tr></tbody></table>