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Previous Event (BADS 2009)
Call for Papers (pdf version)
Computer systems are characterized by an ever growing complexity and
a pronounced distributed nature. Centralized or hierarchical
architectures are becoming impractical because they have poor
scalability and fault-tolerance characteristics. Decentralized
architectures and algorithms, for example P2P and Grid systems, are
increasingly popular, but they need new types of algorithms to be
efficiently managed.
Bio-inspired algorithms and techniques feature fault-tolerant and
self-adaptive behaviours that help to boost the autonomic nature of
distributed systems, and are proving effective for the solution of
hard parallel and distributed problems. These techniques are
sometimes “evolutionary”, as they can exploit genetic rules for the
selection and recombination of candidate solutions. In other cases,
solutions rely on the operations of agents, whose behaviour is
inspired by biological systems, including ant colonies, bird flocks,
honey bees, bacteria, and many more. In such systems, “swarm
intelligence” emerges from the interaction of a large number of very
simple agents.
Bio-inspired algorithms and systems are routinely applied to hard
and large problems in a variety of areas. Some examples are
optimization problems solved with genetic algorithms, routing
strategies inspired by honey bee behaviour, resource discovery and
data mining computations in Grid, Cloud and P2P frameworks, achieved
by ant-inspired algorithms, and so on.
This full day workshop aims to gather scientists, engineers, and
practitioners to share and exchange their experiences, discuss
challenges, and report state-of-the-art and in-progress research on
bio-inspired algorithms and systems.
Areas of interest
In this workshop we are interested in the exploitation of bio-inspired algorithms and systems for the support of the effective
design and efficient implementation of distributed systems.
The topics of interest include (but are not limited to):
Bio-inspired algorithms for parallel and distributed computing
Bio-inspired algorithms for P2P, Grid and Cloud systems
Bio-inspired techniques for the construction and management of distributed systems
Parallel and distributed techniques of Swarm Intelligence: ant colonies, flocks of birds, etc..
Parallel and distributed evolutionary algorithms
High performance tools for bio-inspired algorithms and systems
Application of bio-inspired algorithms to routing, resource discovery, scheduling in parallel and distributed systems
Bio-inspired algorithms for data mining, bioinformatics, etc
Journal
Selected papers will be invited to the
Journal of Network and Computer Applications, Elsevier.
ERCIM Session
The workshop will include a session dedicated to the “Self-* and Adaptive
Mechanisms” topic of the ERCIM CoreGRID Working Group. This ERCIM
research topic is dedicated to adaptive computing principles of
large-scale distributed computing platforms and Grid systems. Topics of
interest include:
Bio-inspired algorithms for data mining, bioinformatics, etc -
Adaptive service discovery and
composition -
Elastic management of the Grid
infrastructure (virtualization) -
Adaptive data management and
distribution (P2P) -
Adaptive execution methods
(i.e. workflow management) -
Desktop Grid availability and
prediction algorithm
Papers submitted to this
session will be reviewed in a separate process. Depending on the
overall number of accepted papers, the ERCIM session may be
scheduled in a day aside, during ICAC.
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