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mainframe-tp-monitor

transaction processing monitor

IBM CICS, IBM IMS TM, Oracle Tuxedo

SystemTechniques · 14Primitives · 48 mainframe-tp-monitor Batch checkpoint restartdistributed · medium: Large batch jobs (end-of-day, settlement, payroll runs) that checkpoint and restart idempotentlyDeterministic simulation testingdistributed · medium: Run the whole system in one thread under a seeded scheduler with simulated network, disk and clock, so every failure replays from its seed.›Durable job queuedistributed · medium: Persisted tasks that workers lease for a visibility timeout, ack on success and retry with backoff; at-least-once execution that survives worker and queue crashes.›Primary-backup replicationdistributed · medium: One node orders all writes and ships them to standbys; the acknowledgement rule (none, one, all) sets what a crash loses, and an external arbiter decides who takes over.›Shared data cluster lock cachedistributed · medium: Shared lock and cache structures in a coupling facility: global lock negotiation and cross-invalidation of locally cached pages across cluster membersTwo-phase commitdistributed · medium: Atomic commit across shards: participants durably vote yes, then the coordinator logs and broadcasts one decision; blocks if the coordinator is lost.›Coverage-guided fuzzingsecurity · medium: Mutate inputs, run an instrumented target, and keep any input that reaches a new code edge; feedback turns blind guessing into incremental search.›Write-ahead logstorage · low: Append each change to a checksummed sequential log and fsync it before touching data pages; the basis of crash durability in nearly every database.›Cooperative schedulingconcurrency · low: Green threads/coroutines yielding at await points on a user-space schedulerDead-letter queuedistributed · low: A side queue for messages that keep failing: after N delivery attempts or a permanent error, park them with the reason so the main queue keeps moving.›Hdr histogramdata-structures · low: Log-linear bucketed histograms with bounded relative error for latency percentilesContext switchinghardware-os · low: Handing a core to another task by saving and loading registers, stack and address space; the hidden cache and TLB cost outweighs the direct one.›Process supervisionhardware-os · low: A parent process starts services, reaps their exits and restarts them under a delay and burst-limit policy, then stops them with SIGTERM before SIGKILL.›Resource usage accountinghardware-os · low: Cgroup/procfs/GPU counters sampled into per-workload usageAuthorization models (RBAC, ABAC, R…security · low: How to decide who may do what to which object; roles for coarse rules, relationships for sharing, and checks on every object.›Mutual TLSsecurity · low: TLS where the client also proves a certificate key, so every connection carries a verified, rotatable machine identity.›B+ treestorage · low: Balanced high-fanout search tree with all values in linked leaves; the default on-disk index for point lookups and range scans.›Deadlock detectionstorage · low: Find transactions waiting on each other in a cycle (wait-for graph), abort one, or order lock requests so no cycle can form.›Index-free adjacencystorage · low: Store each node's edges as direct references to neighbouring records, so a hop costs O(degree) pointer reads instead of an index search; know when plain tables or CSR beat it.›Two-phase lockingstorage · low: Transactions take shared/exclusive locks and release none until they stop acquiring; strict 2PL holds them to commit and guarantees serializability.›Backpressuresystems · low: Bound every queue and make a full queue push back on the producer by blocking, dropping, rejecting or withholding credit.›Connection poolingsystems · low: Reuse and multiplex backend connections with bounded pools, checkout queues and health evictionGraceful drainingsystems · low: On a termination signal, stop taking new work, finish in-flight work until a deadline, tell clients to reconnect elsewhere, then exit; clients resume from a token.›+ 7 more techniques+ 32 more primitives

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