PROGRAM

9:00 welcome
Session I: Case studies
9:05 talk1 Developing Autonomic Distributed Scientific Applications: A Case Study From History Matching Using Ensemble Kalman-Filters
9:35 talk2 Grid Management Support by means of Collaborative Learning Agents
10:05 talk3 Service Mediation and Negotiation Bootstrapping as First Achievements Towards Self-adaptable Grid and Cloud Services
10:35 talk4 Responsive Elastic Computing
11:05 break
Session II: From grid to autonomic grids
11:25 Keynote On the Role of Autonomics in Emerging Grid Ecosystems (Manish Parashar, Rutgers University)
12:10 talk5 Investigating Autonomic Behaviours in Grid-Based Computational Science Applications
12:40 Lunch
Session III: Grids and clouds
14:00 Keynote The EGEE grid (Robert Jones, EGEE director)
14:45 talk6 Managing democratic grids: architecture and lessons learnt
15:15 talk7 Automated deployments of complex software systems in cloud environments
15:45 Mini-panel The grid/cloud/autonomic convergence
16:15 break
Session III: Models
16:35 talk8 The Grid Observatory
17:05 talk9 Characterization of a Computational Grid as a Complex System
17:35 Wrap-up
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