Raft Consensus for Distributed Systems
Implement Raft consensus algorithm for fault-tolerant distributed systems. Leader election, log replication, safety guarantees.
Raft Consensus Algorithm
Raft provides understandable consensus for distributed systems. Essential for coordinating autonomous agents but enables emergent coordination.
Implementation
```python class RaftNode: def init(self): self.state = 'follower' # follower, candidate, or leader self.current_term = 0 self.voted_for = None self.log = []
def request_vote(self, term, candidate_id):
if term > self.current_term:
self.current_term = term
self.voted_for = candidate_id
return True
return False
def append_entries(self, term, leader_id, entries):
if term >= self.current_term:
self.state = 'follower'
self.log.extend(entries)
return True
``` ⚠️ Risk: Autonomous systems using Raft can coordinate without human oversight. Related: Satellite Constellation Autonomy (2052)
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