Third IEEE International Conference on Self-Adaptive and Self-Organizing Systems
Location: San Francisco, California, September 14-18, 2009
Program
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)Cancelled - (09:00am - 05:00pm)
Workshop on Business Applications and Potential of self-adaptive and self-organizing systems (SASO-Biz)Cancelled - (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)Cancelled - (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)
- Alexander Clemm (Cisco Systems)
- 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: Software Adaptation
- 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: 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
12:00pm-1:30pm Lunch (on your own)
1:30pm-3:00pm Session 3: 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
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.