[Feat/Perf]: Implement Cache-Oblivious Struct Alignment and B-Tree Workload Indexing inside internal/storage/memory.go

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Assessment

Difficulty
5/5
Estimated time
Over a week
Newbie friendliness
25/100
Issue type
Feature
Clarity
Needs clarification
Activity status
Quiet
Tech stack
go
Domain
backend, performance

Research direction

Start by reading internal/storage/memory.go and the system architecture documentation referenced in the issue to understand the existing tracking structures and interfaces. Define the required contiguous layout, alignment, and B-tree indexing changes before implementing them, then add or run benchmark tests that exercise heavy searches and verify the stated performance criteria.

Written by the indexing model from the issue text.

Description

enhancement

Problem

As the volume of tracking indices and tenant checkpoint keys arrays expands to millions of active workflows inside local storage registers, traditional pointer-heavy lookup maps generate structural CPU L1/L2 data cache misses under dynamic scaling surges, dropping search speed down to slow hardware layers limits.

Proposed Solution

Refactor the internal tracking architecture parameters to leverage a high-performance Cache-Oblivious Layout Engine utilizing contiguous array structures.

  • Group adjacent lookup metadata variables blocks together inside strict 64-byte structural cache-line alignment dimensions using explicit size array padding blocks (uint64 allocations rules).
  • Organize search paths inside contiguous blocks designed to exploit native CPU memory lines caching properties, regardless of the underlying silicon processor's exact architecture dimensions.
  • Enforce strict benchmark compilation test suites to assert a hardware memory bus pipeline collision rate of absolute zero during heavy data search surges.

Alternatives

  • Standard concurrent map sharding layouts, which minimize thread collisions but do not optimize execution behavior on multi-core silicon hardware cache boundaries.

Use Case

Guarantees flat P99.99 search lookup performance during high-concurrency tool operations, ensuring the routing plane processes context targets at hardware execution limits.

Additional Notes

All structures must match the existing interface properties defined within the system architecture documentation.

Dominant language
Go
Stars
2
Forks
1
Avg merge
14m
Merged PRs (30d)
57

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  3. Fork the repository and make your change on a branch.
  4. Open a pull request that references the issue number.

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