Versioned data that multiple members can read or update under an explicit consistency policy.
110 · Runtime & Infrastructure
Shared state
in GenOS.
Versioned data that multiple members can read or update under an explicit consistency policy.
DEFINITION AND SCIENCE
What it means
in GenOS.
Distributed shared state requires rules for visibility, ordering, and conflict resolution. A common data structure does not by itself guarantee consistency or safe concurrent updates.
Versioned data that multiple members can read or update under an explicit consistency policy.
A versioned update carries (value, version, author). Merge function M must declare behavior for concurrent versions and preserve required invariants.
ANIMATED DIAGRAM · INTERACTIVE MODEL
01 / 03Explore the mechanism: Shared state
A qualitative teaching model of this concept. It does not run GenOS or validate its implementation.
01Read versioned valueINPUT
02Propose concurrent changeMECHANISM
03Merge or reject conflictCONDITIONAL OUTCOME
Current transition · Step 1Read versioned value
The modeled transition may proceed. Change the assumption and move through the stages to inspect the decision path.
PROCESS AND USE
How it works
at a glance.
Read versioned value
Versioned data that multiple members can read or update under an explicit consistency policy.
Propose concurrent change
A versioned update carries (value, version, author). Merge function M must declare behavior for concurrent versions and preserve required invariants.
Merge or reject conflict
Merge or reject conflict. Distributed shared state requires rules for visibility, ordering, and conflict resolution. A common data structure does not by itself guarantee consistency or safe concurrent updates.
RUNTIME IMPLEMENTATION
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.
Syncytium persists causal shared-state mutations and requires committed-state validation independently of worker responses. Local replay and refusal tests do not certify universal distributed convergence.
Failure modes have not yet been separately cataloged for this entry; follow the source and evidence links before relying on the mechanism.
PRIMARY RESEARCH · MECHANISM LEVEL
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 ↗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.
EVIDENCE AND LIMITS
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.