ICAS 2011 - ICAS 2011, The Seventh International Conference on Autonomic and Autonomous Systems

Website www.iaria.org/conferences2011 | Edit Freely

Category ICAS 2011

Deadline: January 25, 2011 | Date: May 22, 2011-May 27, 2011

Venue/Country: Venice, Italy

Updated: 2011-01-10 12:07:23 (GMT+9)

Call For Papers - CFP

Autonomous Systems

May 22-27, 2011 - Venice, Italy

General page: http://www.iaria.org/conferences2011/ICAS11.html

Call for Papers: http://www.iaria.org/conferences2011/CfPICAS11.html

Submission deadline: January 25, 2011

Technical Co-Sponsors:

- Athabasca University

- Elegant Computing Services

- University of Erlangen-Nuernberg

- The University of Western Ontario

- Siemens

- Aston University

- Eindhoven University of Technology

- Orange

Sponsored by IARIA, www.iaria.org

Extended versions of selected papers will be published in IARIA

Journals: http://www.iariajournals.org

Please note the Poster Forum and Work in Progress options.

The topics suggested by the conference can be discussed in term of

concepts, state of the art, research, standards, implementations,

running experiments, applications, and industrial case studies. Authors

are invited to submit complete unpublished papers, which are not under

review in any other conference or journal in the following, but not

limited to, topic areas.

All tracks are open to both research and industry contributions, in

terms of Regular papers, Posters, Work in progress,

Technical/marketing/business presentations, Demos, Tutorials, and Panels.

Before submission, please check and conform with the Editorial rules:

http://www.iaria.org/editorialrules.html

ICAS 2011 Topics (topics and submission details: see CfP on the site)

SYSAT: Advances in system automation

Methods, techniques ant tools for automation features; Methodologies for

automating of design systems; Industrial automation for production

chains; Nonlinear optimization and automation control; Nonlinearities

and system stabilization; Automation in safety systems; Structured

uncertainty; Open and closed automation loops; Test systems automation;

Theory on systems robustness; Fault-tolerant systems

AUTSY: Theory and Practice of Autonomous Systems

Design, implementation and deployment of autonomous systems; Frameworks

and architectures for component and system autonomy; Design

methodologies for autonomous systems; Composing autonomous systems;

Formalisms and languages for autonomous systems; Logics and paradigms

for autonomous systems; Ambient and real-time paradigms for autonomous

systems; Delegation and trust in autonomous systems; Centralized and

distributed autonomous systems; Collocation and interaction between

autonomous and non-autonomous systems; Dependability in autonomous

systems; Survivability and recovery in autonomous systems; Monitoring

and control in autonomous systems; Performance and security in

autonomous systems; Management of autonomous systems; Testing autonomous

systems; Maintainability of autonomous systems

AWARE: Design and Deployment of Context-awareness Networks, Services and

Applications

Context-aware fundamental concepts, mechanisms, and applications;

Modeling context-aware systems; Specification and implementation of

awareness behavioral contexts; Development and deployment of large-scale

context-aware systems and subsystems; User awareness requirements and

design techniques for interfaces and systems; Methodologies, metrics,

tools, and experiments for specifying context-aware systems; Tools

evaluations, Experiment evaluations

AUTONOMIC: Autonomic Computing: Design and Management of Self-behavioral

Networks and Services

Theory, architectures, frameworks and practice of self-adaptive

management mechanisms; Modeling and techniques for specifying

self-ilities; Self-stabilization and dynamic stability criteria and

mechanisms; Tools, languages and platforms for designing self-driven

systems; Autonomic computing and GRID networking; Autonomic computing

and proactive computing for autonomous systems; Practices, criteria and

methods to implement, test, and evaluate industrial autonomic systems;

Experiences with autonomic computing systems

CLOUD: Cloud computing and Virtualization

Hardware-as-a-service; Software-as-a-service [SaaS applicaitions];

Platform-as-service; On-demand computing models; Cloud Computing

programming and application development; Scalability, discovery of

services and data in Cloud computing infrastructures; Privacy, security,

ownership and reliability issues; Performance and QoS; Dynamic resource

provisioning; Power-efficiency and Cloud computing; Load balancing;

Application streaming; Cloud SLAs, business models and pricing policies;

Custom platforms; Large-scale compute infrastructures; Managing

applications in the clouds; Data centers; Process in the clouds; Content

and service distribution in Cloud computing infrastructures; Multiple

applications can run on one computer (virtualization a la VMWare); Grid

computing (multiple computers can be used to run one application);

Virtualization platforms; Open virtualization format; Cloud-computing

vendor governance and regulatory compliance

MCMAC: Monitoring, Control, and Management of Autonomous Self-aware and

Context-aware Systems

Agent-based autonomous systems; Policy-driven self-awareness mechanisms

and their applicability in autonomic systems; Autonomy in GRID

networking and utility computing; Studies on autonomous industrial

applications, services, and their developing environment; Prototypes,

experimental systems, tools for autonomous systems, GRID middleware

CASES: Automation in specialized mobile environments

Theory, frameworks, mechanisms and case studies for satellite systems;

Spatial/temporal constraints in satellites systems; Trajectory

corrections, speed, and path accuracy in satellite systems; Mechanisms

and case studies for nomadic code systems; Platforms for mobile agents

and active mobile code; Performance in nomadic code systems; Case

studies systems for mobile robot systems; Guidance in an a priori

unknown environment; Coaching/learning techniques; Pose maintenance, and

mapping; Sensing for autonomous vehicles; Planning for autonomous

vehicles; Mobile networks, Ad hoc networks and self-reconfigurable

networks

ALCOC: Algorithms and theory for control and computation

Control theory and specific characteristics; Types of computation

theories; Tools for computation and control; Algorithms and data

structures; Special algorithmic techniques; Algorithmic applications;

Domain case studies; Technologies case studies for computation and

control; Application-aware networking

MODEL: Modeling, virtualization, any-on-demand, MDA, SOA

Modeling techniques, tools, methodologies, languages; Model-driven

architectures (MDA); Service-oriented architectures (SOA); Utility

computing frameworks and fundamentals; Enabled applications through

virtualization; Small-scale virtualization methodologies and techniques;

Resource containers, physical resource multiplexing, and segmentation;

Large-scale virtualization methodologies and techniques; Management of

virtualized systems; Platforms, tools, environments, and case studies;

Making virtualization real; On-demand utilities; Adaptive enterprise;

Managing utility-based systems; Development environments, tools,

prototypes

SELF: Self-adaptability and self-management of context-aware systems

Novel approaches to modeling and representing context adaptability,

self-adaptability, and self-manageability; Models of computation for

self-management context-aware systems; Use of MDA/MDD (Model Driven

Architecture / Model Driven Development) for context-aware systems;

Design methods for self-adaptable context-aware systems; Applications of

advanced modeling languages to context self-adaptability; Methods for

managing adding context to existing systems and context-conflict free

systems; Architectures and middleware models for self-adaptable

context-aware systems; Models of different adaptation and

self-adaptation mechanisms (component-based adaptation approach, aspect

oriented approach, etc.); System stability in the presence of context

inconsistency; Learning and self-adaptability of context-aware systems;

Business considerations and organizational modeling of self-adaptable

context-aware systems; Performance evaluation of self-adaptable

context-aware systems; Scalability of self-adaptable context-aware systems

KUI: Knowledge-based user interface

Evolving intelligent user interface for WWW; User interface design in

autonomic systems; Adaptive interfaces in a knowledge-based design;

Knowledge-based support for the user interface design process; Built-in

knowledge in adaptive user interfaces; Requirements for interface

knowledge representation; Levels for knowledge-based user interface;

User interface knowledge on the dynamic behavior; Support techniques for

knowledge-based user interfaces; Intelligent user interface for

real-time systems; Planning-based control of interface animation;

Model-based user interface design; Knowledge-based user interface

migration; Automated user interface requirements discovery for

scientific computing; Knowledge-based user interface management systems;

3D User interface design; Task-oriented knowledge user interfaces;

User-interfaces in a domestic environment; Centralised control in the

home; User-interfaces for the elderly or disabled; User-interfaces for

the visually, aurally, or mobility impaired; Interfacing with ambient

intelligence systems; Assisted living interfaces; Interfaces for

security/alarm systems

AMMO: Adaptive management and mobility

QoE and adaptation in mobile environments; Content marking and

management (i.e. MPEG21); Adaptive coding (H.265, FEC schemes, etc.. );

Admission control resource allocation algorithms; Monitoring and

feedback systems; Link adaptation mechanisms; Cross layer approaches;

Adaptation protocols (with IMS and NGNs scenarios); QoE vs NQoS mapping

systems; Congestion control mechanisms; Fairness issues (fair sharing,

bandwidth allocation...); Optimization/management mechanisms (MOO, fuzzy

logic, machine learning, etc.)

ICAS Advisory Chairs

Michael Bauer, The University of Western Ontario - London, Canada

Radu Calinescu, Aston University, UK

Larbi Esmahi, Athabasca University, Canada

Alex Galis, University College London, UK

Michael Grottke, University of Erlangen-Nuremberg, Germany

Antonio Liotta, Eindhoven University of Technology, The Netherlands

ICAS Industry/Research Chairs

Andrew J. Cowell, Pacific Northwest National Laboratory, USA

Bruno Dillenseger, Orange Labs, France

Kazuo Iwano, IBM Japan, Japan

Marius Slavescu, Elegant Computing Services Inc., Canada

Martin Zach, Communications, Media and Technology, Siemens AG, Austria

Committee: http://www.iaria.org/conferences2011/ComICAS11.html