distributed-consensus-and-replication-pr-module

Plugin distributed-consensus-and-replication-pr-module in sancovp/dark-factory-live. Commands read from the repo's manifest — 1 month ago.

Skills (28)

• 0-1-1-understand-distributed-consensus-and-replication-protocols-fault-tolerance

  [0.1.1] The ability of a distributed system to continue correct operation despite component failures including node cr

• 0.1.2-understand-agreement

  [0.1.2] The property that a set of distributed processes reach the same decision outcome on a given value. Uniform agr

• 0.1.3-understand-consistency

  [0.1.3] The property that all nodes in a distributed system observe the same data state at the same time, or that oper

• 0.1.4-understand-distributed_transaction

  [0.1.4] A transaction that spans multiple independent nodes or services, requiring coordination across participants to

• 0.1-understand-core

  [0.1] the core subdomain of distributed consensus and replication protocols (4 concepts)

• 0.2.1-understand-failure_detector

  [0.2.1] Mechanism to distinguish crashed nodes from slow ones based on timeouts, heartbeats, or phi_accrual.

• 0.2.2-understand-replica_synchronization

  [0.2.2] Propagation of updates to ensure all replicas converge toward identical state.

• 0.2.3-understand-agreement_decide

  [0.2.3] A value reaches agreement when a quorum of nodes have accepted it; once decided, the value is stable and no co

• 0.2.4-understand-failure_mode

  [0.2.4] Classification of ways components can fail: crash_stop, crash_recovery, omission, timing, response, arbitrary_

• 0.2.5-understand-byzantine_failure

  [0.2.5] Component exhibits arbitrary behavior including lies, omissions, or timing violations.

• 0.2.6-understand-network_partition

  [0.2.6] Connectivity loss between node subgroups preventing inter-group communication.

• 0.2-understand-deep_consensus

  [0.2] the deep_consensus subdomain of distributed consensus and replication protocols (41 concepts)

• 0.3.1-understand-a005

  [0.3.1] Uniform agreement: all processes including those that later fail must decide on the same value, stricter than

• 0.3.2-understand-a002

  [0.3.2] Validity in agreement: the decided value must have been proposed by some process in the system, guaranteeing a

• 0.3.3-understand-a007

  [0.3.3] Quorum in agreement: a subset of processes sufficient to guarantee agreement can be reached, typically interse

• 0.3.4-understand-a008

  [0.3.4] Threshold in agreement: the minimum number of correct processes required to guarantee safety and liveness unde

• 0.3.5-understand-a009

  [0.3.5] Asymmetric agreement: one class of processes (e.g., primary) must agree while another class (e.g., backups) ma

• 0.3.6-understand-a004

  [0.3.6] Termination in agreement: every correct process eventually decides some value, ensuring the protocol makes pro

• 0.3-understand-deep_raft

  [0.3] the deep_raft subdomain of distributed consensus and replication protocols (28 concepts)

• 0.4.1-understand-consensus

  [0.4.1] Agreement on a single value among a set of distributed processes; the core problem consensus protocols solve.

• 0.4.2-understand-replicated_log

  [0.4.2] Ordered log of commands maintained across replicas; foundation of state machine replication.

• 0.4.3-understand-quorum

  [0.4.3] Subset of nodes sufficient for reads or writes; typically majority (n/2+1) for strong consistency.

• 0.4.4-understand-raft

  [0.4.4] Consensus algorithm designed for understandability, using leader election, log replication, and safety viaterm

• 0.4.5-understand-eventual_consistency

  [0.4.5] Given no new updates, all replicas will eventually converge to the same value.

• 0.4.6-understand-split_brain

  [0.4.6] Scenario where network partition causes multiple nodes to believe they are leader; resolved by quorum.

• 0-4-understand-distributed-consensus-and-replication-protocols

  [0.4] the distributed_consensus_and_replication_protocols subdomain of distributed consensus and replication protocols (123 concepts)

• 0-understand-distributed-consensus-and-replication-protocols

  [0] the distributed consensus and replication protocols library — every skill a certified region of the KB; call number = home : facets

• using-distributed-consensus-and-replication-pr

  Use the distributed consensus and replication protocols neurosymbolic module: RAG library, agent brain, growable KB — proof-checked

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