Use live host usage and running estimates for collection admission
This commit is contained in:
+14
-12
@@ -180,19 +180,21 @@ heartbeat ingestion, at most once per minute per host/fleet phase; new peaks
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raise the cache immediately. Launch admission reads only the cached model.
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Scheduling still leaves **5% host CPU and 500 MB RAM (500,000,000 bytes)** for the OS and bursts.
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These allowances are scheduling reservations, not Docker limits. Queued and
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unresolved creations consume the startup allowance; established instances keep
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the running allowance even while idle or stopped. Current container measurements
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are credited against their reservations because host usage already includes them;
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only the unused allowance is added. Missing or mismatched-generation measurements
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cannot release an unresolved launch's reservation. Observed host load also counts,
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so other processes and previously unseen load increases reduce available capacity.
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These allowances are scheduling estimates, not Docker limits. Collection admission
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budgets new and never-submitted queued servers at their running allowance, rather
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than assuming the entire collection starts simultaneously. Current host CPU and
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available memory account for existing containers and other processes. Observed
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containers are not topped up to historical startup or running peaks, even while
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awaiting health verification. Established instances are covered by host usage
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when individual container measurements are unavailable.
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Admission counts all queued reservations. Dispatch evaluates one launch against
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existing instances and submitted or uncertain work; other never-submitted queued
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launches wait their turn. They retain their port reservations. This lets the queue
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make progress even if a changed allowance means the whole backlog no longer fits
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at once. Capacity errors report projected usage, usable capacity and reservations.
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Dispatch checks the next launch's startup allowance against live host usage.
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Other never-submitted queued launches wait their turn and retain their port
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reservations. Submitted or uncertain launches missing a matching-generation
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measurement still consume a full startup allowance until telemetry accounts for
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them. This lets collections queue based on running demand and start as capacity
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becomes available, without stacking every queued server's startup peak.
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Capacity errors report projected usage, usable capacity and reservations.
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When startup capacity is available, provisioning checks each eligible host’s
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current CPU and available memory against reservations and headroom.
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@@ -55,42 +55,42 @@ function projectedLoad(host: Host, options: PlacementOptions): number {
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{ id: string; generation: number; pending: number; unsubmitted: number }[];
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const { running, startup } = capacityCalibration(host.id);
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const planned = options.planned?.filter(item => item.hostId === host.id).length ?? 0;
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let extraCpu = (planned + 1) * startup.cpuCores;
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let extraMemory = (planned + 1) * startup.memoryBytes;
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let reservedCpu = extraCpu;
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let reservedMemory = extraMemory;
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// Admission budgets the eventual running collection. Dispatch budgets only
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// the next startup; the rest of the queue waits for live capacity to recover.
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const launch = options.dispatch ? startup : running;
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let extraCpu = planned * running.cpuCores + launch.cpuCores;
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let extraMemory = planned * running.memoryBytes + launch.memoryBytes;
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let reservations = planned + 1;
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const measurements = new Map(host.inventory.instanceResources?.map(sample => [sample.instanceId, sample]));
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for (const instance of instances) {
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if (options.dispatch && options.excludeInstanceId && instance.unsubmitted) continue;
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reservations++;
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const allowance = instance.pending ? startup : running;
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reservedCpu += allowance.cpuCores;
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reservedMemory += allowance.memoryBytes;
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const sample = measurements.get(instance.id);
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if (sample?.generation === instance.generation) {
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// Host usage already includes this container. Reserve only the
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// unused part of its allowance, including while awaiting health.
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extraCpu += Math.max(0, allowance.cpuCores - sample.cpuCores);
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extraMemory += Math.max(0, allowance.memoryBytes - sample.memoryBytes);
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} else if (instance.pending) {
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// Missing observations cannot release an uncertain remote launch.
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extraCpu += allowance.cpuCores;
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extraMemory += allowance.memoryBytes;
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if (instance.unsubmitted) {
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extraCpu += running.cpuCores;
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extraMemory += running.memoryBytes;
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reservations++;
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continue;
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}
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const sample = measurements.get(instance.id);
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// Current host usage already includes observed containers, including
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// those still awaiting health verification. Do not top up to old peaks.
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if (sample?.generation === instance.generation || !instance.pending) continue;
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// A submitted launch absent from current telemetry may still start.
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extraCpu += startup.cpuCores;
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extraMemory += startup.memoryBytes;
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reservations++;
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}
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const cores = Math.max(cpuCount * cpuUsagePercent / 100 + extraCpu, reservedCpu);
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const cores = cpuCount * cpuUsagePercent / 100 + extraCpu;
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const usedMemory = memoryTotal - memoryAvailable;
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const memory = Math.max(usedMemory + extraMemory, reservedMemory);
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const memory = usedMemory + extraMemory;
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const usableMemory = memoryTotal - MEMORY_HEADROOM;
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const gib = (bytes: number) => `${(bytes / 1024 ** 3).toFixed(2)} GiB`;
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if (cores > cpuCount * CPU_USABLE_FRACTION) throw new Error(`Insufficient CPU capacity: ${cores.toFixed(2)} cores projected, ${(cpuCount * CPU_USABLE_FRACTION).toFixed(2)} usable; ${reservations} reservations including this launch.`);
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if (memory > usableMemory) throw new Error(`Insufficient memory capacity: ${gib(memory)} projected, ${gib(usableMemory)} usable after host headroom. `
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+ `${gib(usedMemory)} currently used + ${gib(extraMemory)} additional reservations; ${reservations} reservations including this launch (${gib(startup.memoryBytes)} startup allowance).`);
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+ `${gib(usedMemory)} currently used + ${gib(extraMemory)} additional reservations; ${reservations} reservations including this launch (${gib(launch.memoryBytes)} ${options.dispatch ? 'startup' : 'running'} allowance).`);
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// Recovered resources must not remain unavailable until the historical
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// average catches up. History ranks hosts after current capacity passes.
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const historicalMemory = Math.max(memoryTotal - historicalAvailable + extraMemory, reservedMemory);
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const historicalCores = Math.max(cpuCount * historicalCpu / 100 + extraCpu, reservedCpu);
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const historicalMemory = memoryTotal - historicalAvailable + extraMemory;
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const historicalCores = cpuCount * historicalCpu / 100 + extraCpu;
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return Math.max(historicalCores / cpuCount, historicalMemory / memoryTotal);
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}
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@@ -730,6 +730,37 @@ describe('automatic capacity admission and placement', () => {
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expect(capacityCalibration(hostId).startup.source).toBe('host');
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expect(queueNativeCreation(input)).toMatchObject({ ok: true });
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});
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it('queues a collection at running demand and releases startup reservations as live usage arrives', async () => {
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await prepareLibrary();
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const { heartbeat } = await import('../../src/lib/server/hosts/index.js');
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const { db } = await import('../../src/lib/server/db/index.js');
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const { fleetSettings, saveFleetSettings } = await import('../../src/lib/server/settings.js');
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const { saveBlueprint } = await import('../../src/lib/server/fleet/launch-recipes.js');
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const { previewCollection, queueCollection } = await import('../../src/lib/server/fleet/collections.js');
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const GiB = 1024 ** 3;
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const measured = { ...inventory(), cpuCount: 4, cpuUsagePercent: 5, memoryTotal: 4 * GiB, memoryAvailable: 3.75 * GiB };
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heartbeat(hostId, measured);
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saveFleetSettings({ ...fleetSettings(), createConcurrency: 3 });
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const insert = db().prepare(`INSERT INTO ec_resource_allowances
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(scope,phase,cpu_cores,memory_bytes,samples,window_start,observed_at,computed_at) VALUES(?,?,?,?,30,?,?,?)`);
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const now = new Date().toISOString();
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const start = new Date(Date.now() - 30 * 60_000).toISOString();
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insert.run(hostId, 'startup', 2, 2 * GiB, start, now, now);
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insert.run(hostId, 'running', 0.2, GiB / 4, start, now, now);
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const blueprint = saveBlueprint({ name: 'Staggered lobbies', entries: [{ game: 't5', mapSlug: 'theater', count: 3 }] });
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const preview = previewCollection(blueprint.id);
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expect(preview.ready).toBe(true);
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expect(queueCollection({ previewId: preview.id, keys: Object.fromEntries(preview.servers.map(server => [server.name!, 'key'])) }).ok).toBe(true);
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await advance();
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const creates = () => db().prepare("SELECT instance_id FROM ec_host_operations WHERE kind='instance.create'").all() as { instance_id: string }[];
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expect(creates()).toHaveLength(1);
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await advance();
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expect(creates()).toHaveLength(1); // No heartbeat yet: the first launch still reserves startup resources.
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heartbeat(hostId, { ...measured, cpuUsagePercent: 10, memoryAvailable: 3.5 * GiB,
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instanceResources: [{ instanceId: creates()[0].instance_id, generation: 1, uptimeSeconds: 60, cpuCores: 0.2, memoryBytes: GiB / 4 }] });
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await advance();
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expect(creates()).toHaveLength(2); // Its actual usage replaces the peak even before health verification.
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});
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it('charges queued reservations and releases them on cancellation', async () => {
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await prepareLibrary();
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const { heartbeat } = await import('../../src/lib/server/hosts/index.js');
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@@ -801,8 +832,8 @@ describe('automatic capacity admission and placement', () => {
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expect(first.ok).toBe(true); if (!first.ok) return;
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await advance();
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const instance = nativeInstance(first.name)!;
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// 0.2 GiB OS + 0.8 GiB container. The remaining 0.2 GiB of its 1 GiB
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// reservation plus a new 1 GiB server fit below 2.53 GiB usable memory.
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// 0.2 GiB OS + 0.8 GiB container are already in host usage.
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// Adding a new 1 GiB server fits below 2.53 GiB usable memory.
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heartbeat(hostId, { ...host, memoryAvailable: 2 * GiB, instanceResources: [{ instanceId: instance.id,
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generation: instance.generation, uptimeSeconds: 60, cpuCores: 0.1, memoryBytes: Math.floor(0.8 * GiB) }] });
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const second = queueNativeCreation(input);
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