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4th
International Conference on Self-organization and
Adaptation of
Computing and Communications (SSCC
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:
SSCC 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
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analysis of coupled feedback loops for self-managing systems
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architectures of self-organizing systems
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characterization and analysis of agility, fault tolerance,
scalability, robustness
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characterization and analysis of learning and adaptation
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characterization frameworks of self-organizing software
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entropy approaches to self-organization and adaptation
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holonic systems for self-organization and adaptation
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methodologies for engineering self-organization
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multiple granularity of knowledge in large complex systems
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nested, hierarchical systems for self-organization and
adaptation
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performance metrics for self-organizing systems
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self-organization to support multi-agent scalability
Emergence and interactions
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cybernetic principles and self-organization
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analytic models of emergent behaviors
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autonomy based interactions
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cellular automata approaches to emergence in multi-agent
systems
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controllability of emergence
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emergent properties of large complex systems
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formal approaches to handling local/global agent behaviors
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game theoretic approaches to emergence in multi-agent systems
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interaction mechanisms for self-organization and adaptation
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relation between high-level goals and local interactions
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specification based interaction mechanisms
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models, methods and tools for achieving global coherent
behaviors
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performance engineering of emergent behaviors in multi-agent
systems
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principles of emergence, understanding, controlling, or
exploiting emergent behaviors
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trust-based interaction mechanisms
Biologically inspired
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artificial life
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biologically inspired computing
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biologically inspired interaction mechanisms
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biologically inspired process algebra and formal
specifications
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computational pheromones, potential field, economy
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models of social insects
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self-organization in biological systems
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stigmergy
Control theory
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convergence analysis of multi-agent systems
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cybernetics, general systems theory for self-organization and
adaptation
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decentralized control, adaptive control, robust control of
large complex systems
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feedback control of chaos in complex systems
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feedback control of uncertainties in large complex systems
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interactions as feedback to influence and control multi-agent
systems
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market based control of multi-agent systems
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modeling and supervisory control of discrete event systems
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self-stabilization of multi-agent systems
Complex adaptive systems
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cellular automata model of multi-agent systems
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complex adaptive systems theory
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dissipative systems
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complex non-linear systems
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game theory, decision theory for self-organization and
adaptation
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self-organization and adaptation principles and methodologies
borrowed from systems theory, control theory, game theory, decision
theory, etc.
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open complex systems
(2) Self-Organization
and Emergence
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adaptation in social insects
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analysis of coupled feedback loops for self-managing systems
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analytic models of emergent behaviors
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architectures of emergent systems
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architectures of self-organizing systems
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artificial immune systems
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artificial life
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autonomy based interactions
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behaviors of emergence
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behaviors of self-organization
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bio-inspired machine learning
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biologically inspired computing
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biologically inspired interaction mechanisms
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cellular automata approaches to emergence
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characterization frameworks of self-organizing software
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cognitive modeling
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complex adaptive systems
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complex non-linear systems
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computational pheromones, potential field, economy
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contextual and/or environmental awareness in emergent systems
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controllability of emergence
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cybernetic principles and self-organization
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dynamic policy development
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emergence and interactions
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emergence in layered systems
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emergence in socio-economic/technical systems
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emergent properties of large complex systems
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entropy approaches to self-organization and adaptation
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evolutionary computation
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evolving emergent systems
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feedback control of chaos in complex systems
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feedback control of uncertainties in large complex systems
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feedback loops in self-managing systems
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game theory, decision theory for self-organization and
adaptation
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hierarchical self-organization and adaptation
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holonic architectures for self-organization
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holonic systems for self-organization and adaptation
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interaction mechanisms for self-organization, adaptation and
emergence
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managing interactions to achieve self-* outcomes
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methodologies for engineering self-organization
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models of emergent behaviors
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models of social insects
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open complex systems
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role of cognitions (self-awareness)
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self-learning systems
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self-organization and adaptation principles and methodologies
borrowed from systems theory, control theory, game theory, decision
theory, etc.
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self-organization in biological systems
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self-organization in socio-economic/technical systems
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self-organizing software
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self-organizing systems
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stability of emergent systems
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stigmergy
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swarming and swarm intelligence
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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
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adaptive negotiation
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adjustable autonomy
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dynamic/re-configurable coalition formation/teamwork
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dynamic, re-configurable, flexible organization of agent
societies and ensembles
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emergent properties and behaviors of large-scale multi-agent
systems
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entropy based, computational economy based performance models
of self-organizing multi-agent systems
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evolution, adaptation of multi-agent systems
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feedback control, decentralized control of large-scale
multi-agent systems
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game theory, decision theory for multi-agent systems
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holonic self-organization of multi-agent systems
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organizational principles for large, open multi-agent systems
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scalability, robustness of large, open multi-agent systems
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self-configuring multi-agent problem solving
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self-organization, self-structuring, adaptation of ontologies
for multi-agent based problem solving
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self-organization/self-structuring, self-optimization of
multi-agent systems
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software engineering methodologies for
self-organizing/adaptive multi-agent systems
Learning
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complexity of multi-agent systems with learning and
adaptation
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distributed learning in multi-agent systems
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co-evolving multiple agents with similar/opposing interests.
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learning and adaptation strategies, for environments with
cooperative agents, selfish agents, partially cooperative agents or
heterogeneous agents.
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learning and mutual modeling in multi-agent systems
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learning of coordination
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multi-agent based distributed learning
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social/organizational learning
(4) Autonomic Computing in General
Principles and
methodologies
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autonomy based interactions
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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.
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decentralized autonomic computing
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fault diagnosis, fault detection and localization, fault
tolerance for autonomic computing systems, automated definition and
generation of faults control policies
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feedback based paradigms for autonomic computing systems
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frameworks, architectures of autonomic systems
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knowledge-based systems methodology for autonomic computing
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nature-inspired self-managing/regulating systems
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pattern recognition of intrusions and attacks for autonomic
computing systems, automated definition and generation of security
policies
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paradigms and methodologies of autonomic/organic computing
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policy based control, rule-based autonomic management of
large-scale computing systems
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scalability, robustness of self-managing computing systems
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self-organization of large, open distributed computing
systems
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self-organizing emergent behaviors
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system theoretic methodology for autonomic computing: complex
adaptive systems, hybrid systems, discrete event systems
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utility function driven, computational economy based resource
allocation in autonomic systems
Systems and implementations
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automated workloads balancing in distributed computing
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autonomic computing systems: multi-tier internet, network,
server, mass storage systems, web systems, database/knowledge systems
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autonomic framework of software process improvement
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autonomic workflow engine
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health monitoring, dependency analysis, problem localization
or remediation for autonomic computing systems
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intrusion tolerant and self-recoverable network service
system
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large-scale autonomic server monitoring
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learning policy for pervasive computing environments
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programming languages/tools for autonomic systems
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self-configuring hardware for distributed computer systems
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system-level technologies, middleware or services for
self-managing systems
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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
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agent based grids
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autonomic/organic grid computing
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autonomic (self-configuring, self-healing, self-optimizing,
self-protecting) grid/peer-to-peer middleware
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feedback control mechanism for grid resource management
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dependability, fault diagnosis and tolerance of grids
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machine learning for resource management in grid/peer-to-peer
computing, collaborative computing
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market models of grid computing, grid economy, utility based
computing
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self-diagnosis and self-detection of grid security breaks and
intrusions
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self-healing and self-protection of grid/peer-to-peer
computing
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self-configuring workflows planning and composition in
grid/peer-to-peer computing
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self-organizing grid based problem solving environments
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self-organizing, self-configuring, self-optimization of grid
resource management
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self-organization of semantic web, metadata and ontologies in
grid computing
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architectures and algorithms for self-* systems
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automated distributed resource allocation
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context-aware systems
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controllability and observability in distributed and grid
computing
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decentralized control of distributed and grid computing
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distributed load balancing
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feedback control frameworks of grid resource management
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fundamentals of self-managing systems
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middleware architectures
of self-managing systems
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overlay networks
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P2P systems
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queuing models of grid services
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self-configuring grid infrastructures
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self-diagnosis, self-healing and self-protection in grid/distributed computing environments
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self-management in grid/distributed computing
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self-management
of computing services
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self-management of grid resources and services
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self-organization in P2P applications
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self-organizing architectures of grid/distributed computing
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self-organizing control and management of distributed
computing infrastructures
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self-organizing service oriented architectures
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self-repairing distributed systems
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stochastic self-adaptive/organizing control of distributed
computing systems
Grid Service Management
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adaptive grid service composition and configuration
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adaptive management, coordination, monitoring and control of
grid services and applications
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adaptive framework for description, modeling, negotiation and
discovery of services
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autonomic service oriented computing, service oriented
architectures
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feedback control mechanism for grid service management
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intelligent agents for grid service management, agent based
service oriented architectures
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machine learning for grid service discovery and composition
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performance evaluation, QoS, simulation of grids
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self-organization and adaptation of service oriented
computing
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adaptive control in service management
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adaptive service deployment
(6) Self-Organization
and Self-Management in Communications
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accountability and self-organization in communications
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bio-inspired approaches for communications and networking
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communication and synchronization protocols
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context awareness of communication
services
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fault-tolerant
communication systems
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group forming networks
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heterogeneous network convergence via self-organization
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human in the loop of self-organizing networks
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policy based self-organization and self-management
architectures and frameworks for communications
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policy based systems, platforms, and languages for
communications
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robust
communication systems
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self-adaptation of communications
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self-configuring mobile networks
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self-evolution of the internet
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self-management, self-configuration, and self-optimization in
communications
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self-managing networking
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self-organization and self-management of QoS / service level
agreement
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self-organization in role based and multi-level systems
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self-organization of over- and underlays and in cross
layering
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self-organization of overlay networks
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self-organization of P2P networks
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self-organization of wireless networks (sensor, ad-hoc, mesh
networks)
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self-organized service deployment in communications
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self-organizing satellite networks
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self-protection, self-diagnosis, and self-healing of
communication systems
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service level agreements in
communications
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architectures of self-organizing networks
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self-configuring and self-optimizing mobile ad hoc networks
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self-organization/adaptation in large-scale
programmable/active networks
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self-configuration, self-management and self-optimization of
wireless mesh networks
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self-configuration, self-management and self-optimization of
wireless sensors networks
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self-optimization of QoS in communication networks
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self-organization in communication networks
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self-organization in communication networks
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