Difference between revisions of "Self-organizing synchronization"
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| − | + | = Goal of the session: identifying research issues= | |
| − | + | = Application areas= | |
| − | + | * Smart grids | |
The goal is to balance the load across the network. | The goal is to balance the load across the network. | ||
A phase-locked system is sufficient (not necessarily in-phase). | A phase-locked system is sufficient (not necessarily in-phase). | ||
| − | + | * Wireless systems | |
Synchronization within 1% of the slot duration is sufficient. | Synchronization within 1% of the slot duration is sufficient. | ||
| − | + | = Main issues= | |
| − | + | * Robustness to faulty nodes | |
Does the system return in place after a node fails/does not follow local rules? | Does the system return in place after a node fails/does not follow local rules? | ||
| − | + | * Fault tolerance | |
| − | + | * Scalability | |
| − | + | Hierarchical synchronization, i.e. clustering, can be applied on top of SO Sync to limit scalability issues. | |
| + | * Implementation | ||
| + | * Synchronization as a primal form of coordination | ||
| + | |||
| + | = Open issues= | ||
| + | * Better understanding of inhibitory behavior in meshed networks | ||
| + | * Dynamic networks | ||
| + | * MEMFIS | ||
| + | ** Mathematical proof | ||
| + | ** Time to synchrony increases with the network diameter | ||
| + | * Discrete Kuramoto model | ||
Revision as of 13:31, 29 July 2010
Contents
Goal of the session: identifying research issues
Application areas
- Smart grids
The goal is to balance the load across the network. A phase-locked system is sufficient (not necessarily in-phase).
- Wireless systems
Synchronization within 1% of the slot duration is sufficient.
Main issues
- Robustness to faulty nodes
Does the system return in place after a node fails/does not follow local rules?
- Fault tolerance
- Scalability
Hierarchical synchronization, i.e. clustering, can be applied on top of SO Sync to limit scalability issues.
- Implementation
- Synchronization as a primal form of coordination
Open issues
- Better understanding of inhibitory behavior in meshed networks
- Dynamic networks
- MEMFIS
- Mathematical proof
- Time to synchrony increases with the network diameter
- Discrete Kuramoto model
