2008 Systemics and Informatics World Network (SIWN 2008)

Glasgow, UK, 22-24 July 2008

 

 

Call for Papers

Committee

Program

Registration

Travel & Accommodation

 

 

4th International Conference on Self-organization and Adaptation of Computing and Communications (SACC 2008)

 

Glasgow, UK, 22-24 July 2008

 

Call for Papers (PDF)

 

Previous Editions: SOAS’07 (Leipzig), SOAS’06 (Erfurt), SOAS’05 (Paisley), AAC-GEVO’04 (Wuhan), AUCOPA’03 (Banff)

 

Online Submission extended to 15 April 2008

 

Online submission link: SACC 2008    http://www.easychair.org/conferences/?conf=sscc08

Co-located Events:

2008 Sinoeuropean Engineering Research Forum

SERF 2008   Call for Papers opens to 15 May 2008

 

Today's IT systems with its ever-growing communication infrastructures and computing applications are becoming more and more large in scale, which results in exponential complexity in their engineering, operation, and maintenance. Conventional paradigms for run-time deployment, management, maintenance, and evolution are particularly challenged in tackling these immense complexities. Recently, it has widely been recognized that self-organization and self-management/regulation offer the most promising approach to addressing such challenges. Consequently, a number of autonomic/adaptive computing initiatives have been launched by major IT companies, like IBM, HP, and others.

 

Self-organization and adaptation are concepts stemming from the nature and have been adopted in systems theory. Since computing and communication systems are basically artificial systems, this prevents conventional self-organization and adaptation principles and approaches from being directly applicable. Complexity attributes in terms of openness, scalability, uncertainty, discrete-event dynamics, etc. have varied contexts in large-scale complex IT systems, and are too prominent to be solved by the procedures pre-defined at design-time. Rather, they have to be tackled by means of run-time perception of the complexity patterns and the run-time enforcement of self-organization and adaptation policies. The current knowledge about large-scale complex IT systems is still very limited, and a framework has yet to be established for their self-organization and adaptation.

 

The methodology of multi-agent systems and the technology of Grid computing have shed lights for the exploration into the self-organization and adaptation of large-scale complex IT systems. Essentially, multi-agent systems provide a generic model for large-scale complex IT systems. Exploring and understanding the self-organization and adaptation of multi-agent systems is of profound significance for engineering the self-organization and self-management/regulation of large-scale complex IT systems comprised of communication infrastructures and computing applications. A Grid computing system exposes all the complexity attributes typical of large-scale complex IT systems. Investigating the self-organization and autonomic systems for Grid computing has remained a huge challenge.

 

Topics of particular interest include (but not limited to) the followings.

 

(1) Basic Principles and Methodologies for Self-Organization and Adaptation

 

General

 

- analysis of coupled feedback loops for self-managing systems

- architectures of self-organizing systems

- characterization and analysis of agility, fault tolerance, scalability, robustness

- characterization and analysis of learning and adaptation

- characterization frameworks of self-organizing software

- entropy approaches to self-organization and adaptation

- holonic systems for self-organization and adaptation

- methodologies for engineering self-organization

- multiple granularity of knowledge in large complex systems

- nested, hierarchical systems for self-organization and adaptation

- performance metrics for self-organizing systems

- self-organization to support multi-agent scalability

 

Emergence and interactions

 

- cybernetic principles and self-organization

- analytic models of emergent behaviors

- autonomy based interactions

- cellular automata approaches to emergence in multi-agent systems

- controllability of emergence

- emergent properties of large complex systems

- formal approaches to handling local/global agent behaviors

- game theoretic approaches to emergence in multi-agent systems

- interaction mechanisms for self-organization and adaptation

- relation between high-level goals and local interactions

- specification based interaction mechanisms

- models, methods and tools for achieving global coherent behaviors

- performance engineering of emergent behaviors in multi-agent systems

- principles of emergence, understanding, controlling, or exploiting emergent behaviors

- trust-based interaction mechanisms

 

Biologically inspired

 

- artificial life

- biologically inspired computing

- biologically inspired interaction mechanisms

- biologically inspired process algebra and formal specifications

- computational pheromones, potential field, economy

- models of social insects

- self-organization in biological systems

- stigmergy

 

Control theory

 

- convergence analysis of multi-agent systems

- cybernetics, general systems theory for self-organization and adaptation

- decentralized control, adaptive control, robust control of large complex systems

- feedback control of chaos in complex systems

- feedback control of uncertainties in large complex systems

- interactions as feedback to influence and control multi-agent systems

- market based control of multi-agent systems

- modeling and supervisory control of discrete event systems

- self-stabilization of multi-agent systems

 

Complex adaptive systems

 

- cellular automata model of multi-agent systems

- complex adaptive systems theory

- dissipative systems

- complex non-linear systems

- game theory, decision theory for self-organization and adaptation

- self-organization and adaptation principles and methodologies borrowed from systems theory, control theory, game theory, decision theory, etc.

- open complex systems

 

(2) Self-Organization and Emergence

 

- adaptation in social insects

- analysis of coupled feedback loops for self-managing systems

- analytic models of emergent behaviors

- architectures of emergent systems

- architectures of self-organizing systems

- artificial immune systems

- artificial life

- autonomy based interactions

- behaviors of emergence

- behaviors of self-organization

- bio-inspired machine learning

- biologically inspired computing

- biologically inspired interaction mechanisms

- cellular automata approaches to emergence

- characterization frameworks of self-organizing software

- cognitive modeling

- complex adaptive systems

- complex non-linear systems

- computational pheromones, potential field, economy

- contextual and/or environmental awareness in emergent systems

- controllability of emergence

- cybernetic principles and self-organization

- dynamic policy development

- emergence and interactions

- emergence in layered systems

- emergence in socio-economic/technical systems

- emergent properties of large complex systems

- entropy approaches to self-organization and adaptation

- evolutionary computation

- evolving emergent systems

- feedback control of chaos in complex systems

- feedback control of uncertainties in large complex systems

- feedback loops in self-managing systems

- game theory, decision theory for self-organization and adaptation

- hierarchical self-organization and adaptation

- holonic architectures for self-organization

- holonic systems for self-organization and adaptation

- interaction mechanisms for self-organization, adaptation and emergence

- managing interactions to achieve self-* outcomes

- methodologies for engineering self-organization

- models of emergent behaviors

- models of social insects

- open complex systems

- role of cognitions (self-awareness)

- self-learning systems

- self-organization and adaptation principles and methodologies borrowed from systems theory, control theory, game theory, decision theory, etc.

- self-organization in biological systems

- self-organization in socio-economic/technical systems

- self-organizing software

- self-organizing systems

- stability of emergent systems

- stigmergy

- swarming and swarm intelligence

- testing and verification of emergent systems

 

(3) Self-Organization/Adaptation of Multi-Agent Systems

 

Foundations

 

- cellular automata model of multi-agent systems

- convergence of multi-agent systems

- decentralized control of multi-agent systems

- emergent behaviors in multi-agent systems

- feedback and control in multi-agent systems

- game theoretic approaches to emergence in multi-agent systems

- interactions as feedback to influence and control multi-agent systems

- market based control of multi-agent systems

- self-organization to support multi-agent scalability

- self-stabilization of multi-agent systems

 

Self-organization and adaptation

 

- adaptive negotiation

- adjustable autonomy

- dynamic/re-configurable coalition formation/teamwork

- dynamic, re-configurable, flexible organization of agent societies and ensembles

- emergent properties and behaviors of large-scale multi-agent systems

- entropy based, computational economy based performance models of self-organizing multi-agent systems

- evolution, adaptation of multi-agent systems

- feedback control, decentralized control of large-scale multi-agent systems

- game theory, decision theory for multi-agent systems

- holonic self-organization of multi-agent systems

- organizational principles for large, open multi-agent systems

- scalability, robustness of large, open multi-agent systems

- self-configuring multi-agent problem solving

- self-organization, self-structuring, adaptation of ontologies for multi-agent based problem solving

- self-organization/self-structuring, self-optimization of multi-agent systems

- software engineering methodologies for self-organizing/adaptive multi-agent systems

 

Learning

 

- complexity of multi-agent systems with learning and adaptation

- distributed learning in multi-agent systems

- co-evolving multiple agents with similar/opposing interests.

- learning and adaptation strategies, for environments with cooperative agents, selfish agents, partially cooperative agents or heterogeneous agents.

- learning and mutual modeling in multi-agent systems

- learning of coordination

- multi-agent based distributed learning

- social/organizational learning

 

(4) Autonomic Computing in General

 

Principles and methodologies

 

- autonomy based interactions

- characterization of autonomic systems: self-governing, self-managing, self-regulating, self-organizing, self-configuring, self-adaptation, self-optimizing, self-correction, self-healing, self-protection, self-monitoring, context self-awareness, performance self-measuring/modeling, etc.

- decentralized autonomic computing

- fault diagnosis, fault detection and localization, fault tolerance for autonomic computing systems, automated definition and generation of faults control policies

- feedback based paradigms for autonomic computing systems

- frameworks, architectures of autonomic systems

- knowledge-based systems methodology for autonomic computing

- nature-inspired self-managing/regulating systems

- pattern recognition of intrusions and attacks for autonomic computing systems, automated definition and generation of security policies

- paradigms and methodologies of autonomic/organic computing

- policy based control, rule-based autonomic management of large-scale computing systems

- scalability, robustness of self-managing computing systems

- self-organization of large, open distributed computing systems

- self-organizing emergent behaviors

- system theoretic methodology for autonomic computing: complex adaptive systems, hybrid systems, discrete event systems

- utility function driven, computational economy based resource allocation in autonomic systems

 

Systems and implementations

 

- automated workloads balancing in distributed computing

- autonomic computing systems: multi-tier internet, network, server, mass storage systems, web systems, database/knowledge systems

- autonomic framework of software process improvement

- autonomic workflow engine

- health monitoring, dependency analysis, problem localization or remediation for autonomic computing systems

- intrusion tolerant and self-recoverable network service system

- large-scale autonomic server monitoring

- learning policy for pervasive computing environments

- programming languages/tools for autonomic systems

- self-configuring hardware for distributed computer systems

- system-level technologies, middleware or services for self-managing systems

- web services, semantic web, ontology, metadata for autonomic computing systems

 

(5) Self-Organization and Self-Management in Distributed and Grid Computing

 

Grid computing and resource management

 

- agent based grids

- autonomic/organic grid computing

- autonomic (self-configuring, self-healing, self-optimizing, self-protecting) grid/peer-to-peer middleware

- feedback control mechanism for grid resource management

- dependability, fault diagnosis and tolerance of grids

- machine learning for resource management in grid/peer-to-peer computing, collaborative computing

- market models of grid computing, grid economy, utility based computing

- self-diagnosis and self-detection of grid security breaks and intrusions

- self-healing and self-protection of grid/peer-to-peer computing

- self-configuring workflows planning and composition in grid/peer-to-peer computing

- self-organizing grid based problem solving environments

- self-organizing, self-configuring, self-optimization of grid resource management

- self-organization of semantic web, metadata and ontologies in grid computing

- architectures and algorithms for self-* systems

- automated distributed resource allocation

- context-aware systems

- controllability and observability in distributed and grid computing

- decentralized control of distributed and grid computing

- distributed load balancing

- feedback control frameworks of grid resource management

- fundamentals of self-managing systems

- middleware architectures of self-managing systems

- overlay networks

- P2P systems

- queuing models of grid services

- self-configuring grid infrastructures

- self-diagnosis, self-healing and self-protection in grid/distributed computing environments

- self-management in grid/distributed computing

- self-management of computing services

- self-management of grid resources and services

- self-organization in P2P applications

- self-organizing architectures of grid/distributed computing

- self-organizing control and management of distributed computing infrastructures

- self-organizing service oriented architectures

- self-repairing distributed systems

- stochastic self-adaptive/organizing control of distributed computing systems

 

Grid Service Management

 

- adaptive grid service composition and configuration

- adaptive management, coordination, monitoring and control of grid services and applications

- adaptive framework for description, modeling, negotiation and discovery of services

- autonomic service oriented computing, service oriented architectures

- feedback control mechanism for grid service management

- intelligent agents for grid service management, agent based service oriented architectures

- machine learning for grid service discovery and composition

- performance evaluation, QoS, simulation of grids

- self-organization and adaptation of service oriented computing

- adaptive control in service management

- adaptive service deployment

 

(6) Self-Organization and Self-Management in Communications

 

- accountability and self-organization in communications

- bio-inspired approaches for communications and networking

- communication and synchronization protocols

- context awareness of communication services

- fault-tolerant communication systems

- group forming networks

- heterogeneous network convergence via self-organization

- human in the loop of self-organizing networks

- policy based self-organization and self-management architectures and frameworks for communications

- policy based systems, platforms, and languages for communications

- robust communication systems

- self-adaptation of communications

- self-configuring mobile networks

- self-evolution of the internet

- self-management, self-configuration, and self-optimization in communications

- self-managing networking

- self-organization and self-management of QoS / service level agreement

- self-organization in role based and multi-level systems

- self-organization of over- and underlays and in cross layering

- self-organization of overlay networks

- self-organization of P2P networks

- self-organization of wireless networks (sensor, ad-hoc, mesh networks)

- self-organized service deployment in communications

- self-organizing satellite networks

- self-protection, self-diagnosis, and self-healing of communication systems

- service level agreements in communications

- architectures of self-organizing networks

- self-configuring and self-optimizing mobile ad hoc networks

- self-organization/adaptation in large-scale programmable/active networks

- self-configuration, self-management and self-optimization of wireless mesh networks

- self-configuration, self-management and self-optimization of wireless sensors networks

- self-optimization of QoS in communication networks

- self-organization in communication networks

- self-organization in communication networks