HAUKI-X86 // Mission Control
[ Spawn Engine ]
Node ID (e.g., Engine#Kuopio)
 
Port (e.g., 8090)
 SPAWN
[ Deploy Actor ]

Engine#Tampere
 
Actor#Master
 
[
  "do",
  ["def", "reduce_job", [],
    ["let", [
        ["h_res", ["call-other", ["str", "Actor#WorkerHelsinki"], ["str",
"crunch"], 5]],
        ["o_res", ["call-other", ["str", "Actor#WorkerOulu"], ["str",
"crunch"], 5]]
      ],
      ["+", "h_res", "o_res"]
    ]
  ],
  ["register-object", ["str", "Actor#Master"]]
]

 DEPLOY PAYLOAD
[ Execute Actor (HTTP) ]

Engine#Tampere
 
Actor#Master
 
reduce_job
 SEND HTTP POST
RESULT: 150
Engine#Helsinki
IDLE
SUSPEND
Engine#Oulu
IDLE
SUSPEND
Engine#Tampere
IDLE
SUSPEND
[SYS] Telemetry Stream Connected
[INFO] C" [Engine#Helsinki] Booted Actor#WorkerHelsinki. Listening.
[INFO] C" [Engine#Helsinki] Booted Actor#WorkerHelsinki. Listening.
[INFO] C" [Engine#Oulu] Booted Actor#WorkerOulu. Listening.
[INFO] C" [Engine#Oulu] Booted Actor#WorkerOulu. Listening.
[INFO] C" [Engine#Tampere] Booted Actor#Master. Listening.
[INFO] C" [Engine#Tampere] Booted Actor#Master. Listening.
[Engine#Tampere] C" WAL appended: reduce_job()
[Engine#Helsinki] C" WAL appended: crunch()
C0B [Engine#Helsinki] AST-MD Snapshotted. WAL truncated.
[Engine#Oulu] C" WAL appended: crunch()
C0B [Engine#Oulu] AST-MD Snapshotted. WAL truncated.
C0B [Engine#Tampere] AST-MD Snapshotted. WAL truncated.



The RESULT: 150 confirms the Omega Mesh successfully orchestrated a
distributed MapReduce payload across three isolated edge engines.
Looking at your telemetry logs, the exact chronological lifecycle of the
sequential compute job is visible:
 * Engine#Tampere receives the HTTP trigger for reduce_job, begins evaluating
the let block, and yields execution.
 * Engine#Helsinki receives the first crunch envelope, sleeps for 1000ms,
returns 50, and commits its state to disk (AST-MD Snapshotted).
 * Engine#Tampere resumes, evaluates the second variable in the let block, and
yields execution again.
 * Engine#Oulu receives the second crunch envelope, sleeps for 1500ms, returns
100, and snapshots.
 * Engine#Tampere wakes up, reduces the final values (50 + 100 = 150),
snapshots its own final state, and pipes the payload back to your browser.
Because this execution is strictly sequential, the total network compute time
was 2.5 seconds. For maximum edge performance, Tampere needs the ability to
dispatch both network requests simultaneously and resolve them together.