Versioned captures of runtime or agent state that can support restoration and comparison.
Snapshots
in GenOS.
Versioned captures of runtime or agent state that can support restoration and comparison.
What it means
in GenOS.
A snapshot is a point-in-time state capture used for inspection or restoration. Completeness depends on which stores, external resources, and volatile processes are included.
Versioned captures of runtime or agent state that can support restoration and comparison.
A snapshot S=(state, version, dependencies, timestamp, digest). Restoration is valid only when required dependencies resolve and integrity checks pass.
Explore the mechanism: Snapshots
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.
Capture selected state
Versioned captures of runtime or agent state that can support restoration and comparison.
Check dependency integrity
A snapshot S=(state, version, dependencies, timestamp, digest). Restoration is valid only when required dependencies resolve and integrity checks pass.
Restore declared scope
Restore declared scope. A snapshot is a point-in-time state capture used for inspection or restoration. Completeness depends on which stores, external resources, and volatile processes are included.
What is connected,
and how far.
The linked, versioned GenOS source defines this concept's supported operations and limits. The status axes describe the implementation and evidence recorded for this entry; they do not establish general mission success, scientific equivalence or behavior beyond that scope.
Snapshot and replay operations exist for supported state; external effects and running processes are not fully restored.
Failure modes have not yet been separately cataloged for this entry; follow the source and evidence links before relying on the mechanism.
The mechanism
behind the analogy.
Time, Clocks, and the Ordering of Events in a Distributed System
Leslie Lamport · Communications of the ACM 21(7), 558–565
Defines a partial order of events and logical clocks. A published run without event timestamps cannot be reconstructed into a causal timeline from this result alone.
Open publication ↗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.
Scope and validation boundaries
The linked, versioned GenOS source defines this concept's supported operations and limits. The status axes describe the implementation and evidence recorded for this entry; they do not establish general mission success, scientific equivalence or behavior beyond that scope.