6.4 KiB
6.4 KiB
Absolutely — here’s a textual/diagrammatic draft of the overall architecture for the unified ASL + TGK + PEL system with federation, SIMD/shard acceleration, and deterministic replay. I’ll describe the components and their connections clearly so it can later be converted to a visual diagram.
Unified ASL + TGK + PEL Architecture (Federated, Deterministic, SIMD/Shard Accelerated)
1. Components Overview
+-------------------------------------------------------------+
| FEDERATION LAYER |
| |
| +------------------+ +------------------+ |
| | Peer Node 1 |<---->| Peer Node 2 | |
| | | | | |
| | logseq & snapshots| | logseq & snapshots| |
| +------------------+ +------------------+ |
+-------------------------------------------------------------+
Notes:
- Federation layer manages artifact and PER propagation.
- Each peer node maintains last applied logseq, snapshot provenance, and tombstones.
- Deterministic replay across nodes guaranteed by logseq + canonical ID ordering.
2. Node-Level Architecture
+-------------------------------------------------------------+
| NODE LAYER |
| |
| +--------------------+ |
| | PEL Program Layer | <-- DAG execution, deterministic |
| | (PEL DAG + Inputs) | |
| +--------------------+ |
| | |
| v |
| +--------------------+ |
| | Execution Plan DAG | <-- maps PEL DAG nodes to |
| | (Operators) | SegmentScan, IndexFilter, ... |
| +--------------------+ |
| | |
| v |
| +--------------------+ |
| | Shard / SIMD Buffers| <--- ASL/TGK segments mapped in |
| | Artifact & TGK Data | memory, aligned for SIMD |
| +--------------------+ |
| | |
| v |
| +--------------------+ |
| | Index Operators | <-- SegmentScan, IndexFilter, Merge|
| | (TGKTraversal, etc) | TombstoneShadow, Projection |
| +--------------------+ |
| | |
| v |
| +--------------------+ |
| | Output / Projection | <-- final results, PER artifacts |
| +--------------------+ |
+-------------------------------------------------------------+
3. Data Flow
-
PEL DAG Inputs → loaded as ASL artifacts or PERs.
-
PEL DAG Execution → produces PER artifacts.
-
PER + raw artifacts → mapped into shard-local SIMD buffers.
-
Execution plan operators applied:
- SegmentScan → IndexFilter → Merge
- TGKTraversal → Projection / Aggregation
- TombstoneShadow ensures snapshot safety
-
Output → deterministic, snapshot-bounded results.
-
Propagation → federation layer transmits new artifacts/PERs to peers.
4. Shard & SIMD Acceleration
Shard 0 Shard 1 Shard 2
+---------+ +---------+ +---------+
| Buffers | | Buffers | | Buffers |
| SIMD | | SIMD | | SIMD |
+---------+ +---------+ +---------+
\ | /
\ | /
\ | /
\ | /
+-------+-------+
|
Merge
|
Output
- Each shard processes a subset of the artifact/TGK edge space.
- SIMD filters applied per shard.
- Merge ensures deterministic global order.
5. Snapshot & Provenance Integration
+-------------------------+
| ZFS Snapshots / Logs |
| ASL & TGK Storage |
| Shard-local Mapping |
+-------------------------+
|
v
+-------------------------+
| Snapshot-safe Operators |
| (SegmentScan, TombstoneShadow, TGKTraversal)
+-------------------------+
|
v
+-------------------------+
| Provenance Table |
| (logseq, canonical IDs) |
+-------------------------+
- Snapshot limits all reads.
- Provenance table ensures deterministic replay and auditing.
6. Federation Synchronization Flow
+------------------+ +------------------+
| Node A | | Node B |
| PER/Artifact log | ---> delta ---> | PER/Artifact log |
| Snapshot state | | Snapshot state |
| Shard buffers | | Shard buffers |
+------------------+ +------------------+
| ^
| |
+-----------------------------+
| Deterministic Replay |
+-----------------------------+
- Each node applies incoming logs deterministically.
- Shard mapping may differ, but merge ensures canonical global ordering.
- PEL program replay is deterministic based on input artifacts and snapshot.
7. Summary
- PEL DAGs feed deterministic execution plans.
- ASL/TGK segments stored in shard-local SIMD-aligned buffers.
- Operators are applied in a snapshot-bounded, deterministic manner.
- Tombstones and shadowing preserve provenance.
- Federation layer ensures deterministic cross-node propagation and replay.
- PER artifacts integrate seamlessly into the execution plan.
- The architecture scales to billions of artifacts and TGK edges.
If you want, I can next produce a single unified “full system specification” document, merging ASL-CORE, ASL-STORE-INDEX, ENC-ASL-TGK-INDEX, PEL integration, execution plan, SIMD/shard acceleration, and federation rules into a master reference.
Do you want me to draft that next?