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Mon, 5 Oct 2009 17:04:07 -0400
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Please consider to contribute to and/or forward to the appropriate groups
the following opportunity to submit and publish original scientific

Publisher: CPS ( see: )

Archived: IEEE CSDL (Computer Science Digital Library) and IEEE Xplore

Submitted for indexing: Elsevier's EI Compendex Database, EI Engineering
Information Index

Other indexes are being considered: INSPEC, DBLP, Thomson Reuters
Conference Proceedings Citation Index


============== ICAS 2010 | Call for Papers ===============


ICAS 2010: The Sixth International Conference on Autonomic and Autonomous

March 7-13, 2010 - Cancun, Mexico

General page:

Call for Papers:

Submission deadline: October 17, 2009

Sponsored by IARIA,

Extended versions of selected papers will be published in IARIA Journals:

Publisher: CPS ( see: )

Archived: IEEE CSDL (Computer Science Digital Library) and IEEE Xplore

Submitted for indexing: Elsevier's EI Compendex Database, EI?s Engineering
Information Index

Other indexes are being considered: INSPEC, DBLP, Thomson Reuters
Conference Proceedings Citation Index

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invited to submit complete unpublished papers, which are not under review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

ICAS 2010 Tracks (tracks' 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

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,

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.)


IARIA Publicity Board

Committee members:


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