1. RTLAB 박 유 진 University of Stuttgart Klaus Herrmann

2. Ambient intelligence The Ad hoc Service Grid Model Algorithms and protocols Conclusion

3. Pervasive computing Context awareness Human-centric computer interaction design

4. Goals  Easy to setup  Flexibly scalability  Minimal administrative effort The Model  Service Cube The Drop-and-Deploy Vision

5. Self-organizing service distribution Service discovery and lookup Data consistency

6. Adaptive service placement algorithm  Migration, Replication, Dissolution Rules  Replication, Migration, Idle Rule Figure 1. Exploiting dominating flows for incremental cost optimization

7. Clustered Network  Cluster head Lazy propagation strategy Figure 2. Request-driven update process

8. Replication of shared data The Bounded Divergence Group Anti- Entropy Protocol(BD-GAP)  Extended the well-known Bayou anti-entropy protocol

9. The Ad hoc Service Grid Model  Easy to setup  Flexibly scalability  Minimal administrative effort Distributed Service Placement Service Discovery and Lookup Data Consistency