Principles for achieving AME (1)
No single points of failure
Performance robustness is more important than peak performance
- “performance robustness” implies that real-world performance is comparable to best-case performance
Performance can be sacrificed for improvements in AME
- resources should be dedicated to AME
- compare: biological systems spend > 50% of resources on maintenance
- can make up performance by scaling system