[alife] CFPart - SASO'2009
Tom Holvoet
Tom.Holvoet at cs.kuleuven.be
Mon Jul 27 06:09:25 PDT 2009
Our apologies if you receive multiple copies of this call.
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Third IEEE International Conference on
Self-Adaptive and Self-Organizing Systems
(IEEE approval pending)
SASO 2009
September 14-18, 2009 - San Francisco, USA
http://radlab.cs.berkeley.edu/saso2009/
http://www.saso-conference.org/
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The aim of the SASO conference series is to provide a forum for laying
the foundations of a new principled approach to engineering systems,
networks and services based on self-adaptation and self-organization.
To this end, the meeting aims to attract participants with different
backgrounds, to foster cross-pollination between different research
fields, and to expose and discuss innovative theories, frameworks,
methodologies, tools, and applications. The complexity of current and
emerging computing systems has led the software engineering,
distributed systems and management communities to look for inspiration
in diverse fields (e.g., complex systems, artificial intelligence,
sociology, and biology) to find new ways of designing and managing
networks, systems and services. In this endeavor, self-organization
and self-adaptation have emerged as two promising interrelated facets
of a paradigm shift.
Self-adaptive systems work in a top down manner. They evaluate their
own global behavior and change it when the evaluation indicates that
they are not accomplishing what they were intended to do, or when
better functionality or performance is possible. A challenge is often
to identify how to change specific behaviors to achieve the desired
improvement. Self-organizing systems work bottom up. They are composed
of a large number of components that interact locally according to
typically simple rules. The global behavior of the system emerges from
these local interactions. Here, a challenge is often to predict and
control the resulting global behavior. This year's edition is
specifically focused at improving our understanding of the properties
inherent to self-adaptation and self-organization, a necessary
requirement for the effective engineering and building of usable self-
adaptive and self-organizing systems. Contributions should present
novel theoretical or experimental results, or practical approaches and
experiences in building or
deploying real-world systems, applications, tools, frameworks, etc.
Contributions contrasting different approaches for engineering a given
family of systems, or demonstrating the applicability of a certain
approach for different systems are particularly encouraged.
PROGRAM
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Monday, September 14th
09:00am-5:00pm Tutorial Sessions
• (02:00pm - 05:00pm) Structured overlay networks: Self-organization
and scalability issues
09:00am-5:00pm Workshop Sessions
• (09:00am - 05:00pm) Workshop on Self-Adaptation for Robustness and
Cooperation in Holonic Multi-agent systems (SARC)
• (09:00am - 05:00pm) Workshop on Business Applications and Potential
of self-adaptive and self-organizing systems (SASO-Biz)
• (09:00am - 05:00pm) Workshop on Spatial Computing (SCW)
Tuesday, September 15th
09:00am-5:00pm Tutorial Sessions
• (09:00am - 12:00pm) Organic Computing - Methodology and Applications
• (02:00pm - 05:00pm) Spatial Computing for Swarms
09:00am-5:00pm Workshop Sessions
• (09:00am - 05:00pm) Workshop on the Practice and Theory of
Programming Collectives (PROTOCOL)
• (09:00am - 05:00pm) Workshop on Architectures and languages for
self-managing distributed systems (Self-Man)
• (09:00am - 05:00pm) Workshop on Metareasoning in Self-Adaptive
Systems (Metareasoning)
Wednesday, September 16th
08:30am-10:00am Welcome and Opening Session
• Opening remarks by Randy Katz, Giovanna Di Marzo
• Comments by Conference Organizers (General Chairs, Program Chairs,
Chairs for next SASO)
• Keynote Address: David Patterson, University of California,
Berkeley. Topic: Applying Machine Learning to Systems Management
10:00am-10:30am Coffee break
10:30am-12:00pm Session 1: Theory
• Tom Holvoet, Danny Weyns and Paul Valckenaers. Patterns of Delegate
MAS
• Andrew Berns and Sukumar Ghosh. Dissecting Self-* Properties
• Ivana Dusparic and Vinny Cahill. Distributed W-Learning: Multi-
Policy Optimization in Self-Organizing Systems
12:00am-12:30pm Introduction to today's posters, Jake Beal, Salima
Hassas
12:00pm-1:30pm Lunch (Conference Provided) + Poster session
1:30pm-3:00pm Session 2: Peer-to-peer and Swarms
• Wojciech Galuba, Karl Aberer, Zoran Despotovic and Wolfgang
Kellerer. Self-organized fault-tolerant routing in peer-to-peer overlays
• Paul L. Snyder, Rachel Greenstadt and Giuseppe Valetto. Myconet: A
Fungi-inspired Model for Superpeer-based Peer-to-Peer Overlay Topologies
• Sven Brueckner, Robert Bisson, Theodor Belding and Elizabeth Downs.
Swarming Polyagents Executing Hierarchical Task Networks
3:00pm-3:30pm Coffee break
3:30pm-5:00pm Session 3: Swarms
• Arnaud Glad, Olivier Buffer, Olivier Simonin and François
Charpillet. Self-Organization of Patrolling-Ant Algorithms
• Sven Brueckner. Swarming Geographic Event Profiling, Link Analysis,
and Prediction
• Rodolphe Charrier, Christine Bourjot and François Charpillet. Study
of Self-adaptation Mechanisms in a Swarm of Logistic Agents
Thursday, September 17th
8:30am-10:00am Session 1: Sensor Networks
• Rosalind Wang, George Mathews, Don Price and Mikhail Prokopenko.
Optimising Sensor Layouts for Direct Measurement of Discrete Variables
• Peter Janacik and Alexander Kujat. Biologically-Inspired
Construction of Connected k-Hop Dominating Sets in Wireless Sensor
Networks
• Dan Marinescu, Chen Yu and Gabriela Marinescu. Self-organization of
Very Large Sensor Networks Based on Small-worlds Principles
10:00am-10:30am Coffee break
10:30am-12:00pm Self-management and Cloud Computing, Panel Moderator:
Ozalp Babaoglu (University of Bologna)
Participants:
• John Wilkes (Google)
• Tal Klein (Citrix Systems)
• Mazin Yousif (Intel/Numonyx)
• Thorsten von Eicken (RightScale)
• Mendel Rosenblum (Stanford University)
12:00pm-1:30pm Lunch (Conference Provided, Posters available in the
lunch area)
1:30pm-3:00pm Session 2: Hardware and Networking
• Andreas Bernauer, Oliver Bringmann and Wolfgang Rosenstiel. Generic
Self-Adaptation to Reduce Design Effort for System-on-Chip
• Uwe Brinkschulte and Mathias Pacher. A Theoretical Examination of a
Self-Adaptation Approach to Improve the Real-Time Capabilities in
Multi-Threaded Microprocessors
• Stefan Wildermann, Tobias Ziermann and Jürgen Teich. Self-
organizing Bandwidth Sharing in Priority-based Medium Access
3:00pm-3:30pm Coffee break
3:30pm-5:00pm Session 3: Robotics
• Yaochu Jin, Hongliang Guo and Yan Meng. Robustness Analysis and
Failure Recovery of A Bio-Inspired Self-Organizing Multi-Robot System
• Emre Cakar and Christian Müller-Schloer. Self-Organising
Interaction Patterns of Homogeneous and Heterogeneous Multi-Agent
Populations
• Lukas König and Hartmut Schmeck. A Completely Evolvable Genotype-
Phenotype Mapping for Evolutionary Robotics
Friday, September 18th
08:30am-10:00am Session 1: Sensor Networks
• Dirk Niebuhr, Andreas Rausch, Cornel Klein, Jürgen Reichmann and
Reiner Schmid. Guaranteeing Correctness of Component Bindings in
Dynamic Adaptive Systems based on Runtime Testing
• Joshua Jones, Chris Parnin, Avik Sinhraroy, Spencer Rugaber and
Ashok Goel. Teleological Software Adaptation
• Cyril BALLAGNY, Nabil Hameurlain and Franck Barbier. MOCAS: a State-
Based Component Model for Self-Adaptation
10:00am-10:30am Coffee break
10:30am-12:00pm Session 2: Distributed Control and Learning
• Alexandra Brintrup, Tao Gong, Andreas Ligtvoet, Chris Davis, Willem
van Willigen and Edward Robinson. Distributed control of emergence:
lying agents in particle swarms and ant colonies
• David B. Knoester and Philip K. McKinley. Evolution of
Probabilistic Consensus in Digital Organisms
• Mohammad Ahmad Munawar, Miao Jiang, Thomas Reidemeister and Paul.
A. S. Ward. Filtering system metrics for minimal correlation-based
self-monitoring
12:00pm-1:30pm Lunch (on your own)
1:30pm-3:00pm Session 3: Applications
• Daniel Gmach, Jerry Rolia and Ludmila Cherkasova. Satisfying
Service Level Objectives in a Self-Managing Resource Pool
• Fahad Javed and Naveed Arshad. AdOpt: An Adaptive Optimization
Framework for Large-scale Power Distribution Systems
• Jiaming Li, Geoff James and Geoff Poulton. Set-Points Based Optimal
Multi-Agent Coordination for Controlling Distributed Energy Loads
3:00pm-3:30pm Coffee break
03:30pm-4:30pm Postnote Presentation, Michael Jordan, University of
Califronia, Berkeley. Topic: Recent Developments in Distributed
Machine Learning.
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