MACE 2010 - The 5th IEEE International Workshop on Modelling Autonomic Communication Environments

Website www.cnsm2010.org | Edit Freely

Category MACE 2010

Deadline: June 11, 2010 | Date: October 28, 2010

Venue/Country: Niagara Falls, Canada

Updated: 2010-06-04 19:32:22 (GMT+9)

Call For Papers - CFP

Multi-vendor environments and the services that they provide have dramatically increased the system and business complexity of communications environments. The inherent heterogeneity of network device programming models will be exacerbated by future service offerings, which demand the ability to react to changing user needs, business objectives, and environmental changes in an efficient and cost-effective manner. We define autonomic management as the ability for a system to use knowledge engineering techniques to model itself and the environment in which it is operating. Models of context-awareness, behaviour, and orchestration are an important means of managing complexity and realising business goals. More importantly, models that can evolve in response to new and/or learned information enable the system to adapt to new usage patterns and business rules. This enables the autonomic system to self-govern its behaviour within the constraints of the business goals that are currently applicable.

The MACE workshop will focus on the use of information and data modelling, as well as knowledge representation and inferencing, to represent adaptive and self-aware devices, systems, and networks. MACE addresses current and future network management by focusing on how to represent and use knowledge to provide adaptive, context-aware management, to learn and adjust to user and environmental behaviour, and to orchestrate services using context-aware policy-based management systems, which use modelled knowledge to dynamically generate code to automatically reconfigure network elements in response to changing context.

The 2010 MACE workshop will continue to provide a platform for discussing latest trends, work-in-progress as well as demonstrations, evaluations and simulations. We encourage academic and industry researchers and practitioners, as well as students, to submit their models, concepts, ideas and designs.

TOPICS OF INTEREST

Federation and Service Management

Advances in modelling architectural artefacts

Models of and for federations and membership

Achieving balance between autonomic process and human intervention

Semantics for composition of state information (knowledge)

Security Mechanisms and strategies

Creation and analysis of services and software artefacts

Lifecycle management

Design and modelling of meta-data to contextualise, track and manage services and other artefacts

Monitoring and Configuration

Bridging the semantic gap for service-level monitoring

Approaches to normalise management data/information

Models for event analysis to infer service implications

Federated, end-to-end monitoring

Models for adaptive management decision making

Processes for a continuum of management policies (authoring, transformation, verification, optimisation, deployment)

Design of business-driven network configurations

Using context to trigger and select policy-based management

Semantic annotation for visualisation

Self-management

Self-management algorithms and reusability

Robustness in algorithm design

Adaptive algorithms and models, including bio-inspired approaches

Efficiency of adaptation and evaluation techniques

System-based adaptive algorithms, including bio-inspired approaches

Coordination processes

End-to-end management of different types of anomalies