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

ICAS 2011: The Seventh International Conference on Autonomic and
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.htm...

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are invited to submit complete unpublished papers, which are not under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