The International Conference on Autonomic and Autonomous Systems

Country: Italy

City: Rome

Abstr. due: 24.12.2014

Dates: 24.05.15 — 29.05.15

Area Of Sciences: Technical sciences;

Organizing comittee e-mail:

Organizers: IARIA


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.

We solicit both academic, research, and industrial contributions. We welcome technical papers presenting research and practical results, position papers addressing the pros and cons of specific proposals, such as those being discussed in the standard fora or in industry consortia, survey papers addressing the key problems and solutions on any of the above topics short papers on work in progress, and panel proposals.

Industrial presentations are not subject to the format and content constraints of regular submissions. We expect short and long presentations that express industrial position and status.

Tutorials on specific related topics and panels on challenging areas are encouraged.

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 topics and submission formats are open to both research and industry contributions.

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

Software-as-a-service [SaaS applicaitions]
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.)

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