[alife] Final CFPart - SASO'2009

Tom Holvoet Tom.Holvoet at cs.kuleuven.be
Fri Aug 28 01:20:41 PDT 2009


Final Call for Participation... Register at

	http://radlab.cs.berkeley.edu/saso2009/registration.html

*******************************************************************

                              SASO  2009

		    Third IEEE International Conference on
		Self-Adaptive and Self-Organizing Systems

      September 14-18, 2009 - San Francisco, USA

	      http://radlab.cs.berkeley.edu/saso2009/
		http://www.saso-conference.org/

*******************************************************************

EVENTS

	SASO'2009 Conference

	Workshop on Architectures and languages for self-managing distributed  
systems (Self-Man)
	Workshop on Spatial Computing (SCW)
	Workshop on Metareasoning in Self-Adaptive Systems (Metareasoning)

	Tutorial: Structured Overlay Networks: Self-organization and  
scalability issues
	Tutorial: Organic Computing: Methodology and Applications
	Tutorial: Spatial Computing for Swarms

*******************************************************************

CONFERENCE PROGRAM


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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