Technical Specification: Non-Markovian Block I/O Subsystem Optimization for Linux Kernel via Memory Kernel Compression
This technical specification defines the low-level architectural and engineering requirements for implementing a non-Markovian block I/O scheduler within the Linux kernel multi-queue subsystem (blk-mq architecture). Developed as a direct engineering continuation of the theoretical preprint on open quantum relational systems (Zenodo DOI: 10.5281/zenodo.21969309), this document bridges the gap between advanced quantum mathematical frameworks and applied operating system design. The specification introduces a novel method for memory kernel exponential compression, which processes the Nakajima–Zwanzig integro-differential equation by mapping the historical tail of I/O latency anomalies into local auxiliary vacuum memory tensors. This mathematical optimization reduces the history-scanning computational overhead from a prohibitive quadratic complexity of O(N²) down to a strict constant-time complexity of O(1), making it fully viable for high-performance PCIe 5.0/6.0 NVMe storage systems operating at millions of IOPS. Key architectural and low-level constraints specified include:1. Complete Floating-Point Unit (FPU) exclusion, enforcing a deterministic, fixed-point Q32.32 integer implementation (u64 arithmetic) suitable for the Linux kernel interrupt context.2. Hardware dispatch queue cache alignment (____cacheline_aligned) to prevent cross-core false sharing anomalies.3. Lockless execution design utilizing lock-free state primitives and RCU subsystems to hit a strict 4-nanosecond CPU time budget per I/O descriptor. The document includes fully functional, production-ready C source code conforming to modern Linux kernel dialect standards. Published under the CC-BY-4.0 documentation license, with a mandate that all derived software implementations comply with the GNU General Public License v2.0 or later (GPL-2.0-or-later / SPDX identifier).
Authors
- Maxim Sokolov
Publication Details
- Journal
- Zenodo (CERN European Organization for Nuclear Research)
- Published
- 2026-08-17
- DOI
- https://doi.org/10.5281/zenodo.21978047
- Primary Topic
- Parallel Computing and Optimization Techniques
- Type
- article
- Field-Weighted Citation Impact
- 0.00