Durable mission ownership, completion checks, dormancy, wake-up and guarded regeneration across process restarts.
Mission continuity
in GenOS.
Durable mission ownership, completion checks, dormancy, wake-up and guarded regeneration across process restarts.
What it means
in GenOS.
Distributed ownership and durable state permit continuation after process loss, but recovery must arbitrate competing owners and avoid duplicate effects.
Close against the contract → Reserve ownership → Resume or regenerate
For mission m, at most one valid lease owner may launch successor s at time t. Resume requires lease(m,t)=valid, completion contract unsatisfied and wake condition true.
Explore the mechanism: Mission continuity
A qualitative teaching model of this concept. It does not run GenOS or validate its implementation.
The modeled transition may proceed. Change the assumption and move through the stages to inspect the decision path.
How it works
at a glance.
Close against the contract
The homeostasis gate checks declared invariants and required evidence. Closure requires a transition receipt bound to the active contract, latest state and current execution-evidence epoch. Completed workers cannot make an unsatisfied mission successful.
Reserve ownership
A mission identity and resource ownership record arbitrate wake-up and successor launch; a losing or stale process is refused.
Resume or regenerate
Restore the frozen mission payload after a valid wake condition. Regeneration launches a child worker only after topology and authority checks.
What is connected,
and how far.
The continuation loop is bounded and idempotent by mission and deviation. A crash during launching requires controlled recovery, not blind replay. Regeneration has separate service paths, and distributed multi-instance operation is not qualified.
Completion, evidence collection, bounded continuation, dormancy and succession have connected paths; SQLite WAL authority was tested across two processes, not a multi-instance deployment.
Launching a duplicate successor after a crash. · Treating worker completion as mission evidence. · Rebuilding a resumed prompt from mutable current_task instead of the frozen mission.
No implementation file is pinned to this concept entry yet.
The mechanism
behind the analogy.
Distributed snapshots: determining global states of distributed systems
K. Mani Chandy and Leslie Lamport · ACM Transactions on Computer Systems 3(1), 63–75
Describes a snapshot algorithm under explicit assumptions; it does not prove a GenOS snapshot covers external effects.
Open publication ↗Primary research describes the cited mechanism; specific technologies may instead cite their original technical documentation. These sources provide context and do not validate the GenOS implementation.
A live runtime is checked before replacement
The continuation loop is bounded and idempotent by mission and deviation. A crash during launching requires controlled recovery, not blind replay. Regeneration has separate service paths, and distributed multi-instance operation is not qualified.