RTLAB 박 유 진 University of Stuttgart Klaus Herrmann

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

Pervasive computing Context awareness Human-centric computer interaction design

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

Self-organizing service distribution Service discovery and lookup Data consistency

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

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

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

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