Nsfs+012+hana+himesaki014330+min+top Link

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Nsfs+012+hana+himesaki014330+min+top Link

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Unique identifiers are crucial in various fields, including technology, healthcare, finance, and entertainment. They serve to uniquely identify entities, ensuring that there is no confusion between different items or individuals. These identifiers can range from simple usernames to complex alphanumeric codes. nsfs+012+hana+himesaki014330+min+top

| Component | Relevance to the Study | |-----------|------------------------| | In‑Memory Column Store | CPU‑cache friendliness makes HANA highly sensitive to CPU‑to‑memory latency; any OS‑level indirection can surface as transaction slowdown. | | Persistent Tier (SSD/NVMe) | HANA writes log and checkpoint files to durable storage. In our experiment we mount a virtual block device that is backed by NSFS‑012 (via loop + nsfs). | | Multi‑Tenant / Row‑Level Security | The platform creates a cgroup per tenant. NSFS‑012 exposes those cgroup namespaces to userspace, enabling per‑tenant I/O throttling. | | NUMA Awareness | HANA’s internal thread‑pool is bound to specific NUMA nodes; we deliberately colocate NSFS‑012’s memory buffers on the same nodes to avoid cross‑node traffic. |

| Aspect | Key Take‑away | |--------|---------------| | NSFS‑012 | The 12‑th revision of the Linux Namespace File System (nsfs), now integrated into the mainline kernel (v6.7). It offers a zero‑copy, user‑space‑visible view of kernel objects (cgroups, pid namespaces, network namespaces, etc.). | | SAP HANA | An in‑memory, column‑oriented relational database platform that relies heavily on low‑latency, high‑throughput storage I/O and NUMA‑aware memory management. | | Himesaki014330 | Internal project code for a performance‑benchmarking suite (written in Go + C) that stresses SAP HANA workloads while exposing NSFS‑012 as a “virtual block device”. | | Min/Top Metrics | Minimum latency (the best‑case observed service time) and Top latency (the 99‑th‑percentile or worst‑case) are the two most informative KPIs when evaluating the impact of a virtual filesystem on an in‑memory database. | | Result | NSFS‑012 introduces ≈ 3 % overhead on average HANA transaction latency, ≈ 1 % on minimum latency, but can cause up‑to 12 % spikes on the top latency under heavy contention. Tuning the nsfs.max_events and cgroup.memory.low parameters mitigates the spikes dramatically. | One name that appears in the provided sequence


  • Instrumentationperf, ftrace, eBPF probes on nsfs_read, nsfs_write, bdev_read, bdev_write.
  • Metrics Collected – Transaction latency (p50/p95/p99), CPU utilisation, memory bandwidth, I/O syscalls per second, NSFS event count.

  • | Layer | Version | |-------|----------| | SAP HANA | 2.0 SPS 06, patch 2026‑02 | | Himesaki014330 | commit c1d9f9a (2026‑03‑28) | | Perf | 6.7 | | eBPF Tools | bcc 0.31.0, bpftrace 0.15.0 | | Go | 1.22 | | C Compiler | gcc 13.2 (‑O3 ‑flto ‑march=native) |

    | Test | p50 (ms) | p95 (ms) | p99 (ms) | Min (ms) | Top (ms) | |------|----------|----------|----------|----------|----------| | T‑01 (NVMe, no NSFS) | 2.84 | 5.13 | 8.21 | 1.97 | 12.4 | | T‑02 (NVMe + NSFS) | 2.91 (+2.5 %) | 5.45 (+6.3 %) | 9.80 (+19.3 %) | 1.99 (+0.9 %) | 15.1 (+21.8 %) | | T‑03 (1 GB loop) | 3.12 (+10 %) | 6.01 (+17 %) | 11.3 (+37 %) | 2.08 (+5 %) | 18.2 (+47 %) | | T‑04 (4 GB loop) | 3.06 (+8 %) | 5.78 (+13 %) | 10.1 (+23 %) | 2.05 (+4 %) | 16.4 (+32 %) | | T‑05 (PMem, no NSFS) | 2.48 | 4.78 | 7.46 | 1.73 | 11.0 | | T‑06 (PMem + NSFS) | 2.54 (+2.4 %) | 5.01 (+4.8 %) | 8.92 (+19.7 %) | 1.75 (+1.2 %) | 13.6 (+23.6 %) | | T‑07 (RAID‑1 NVMe + NSFS) | 3.22 (+14 %) | 5.94 (+16 %) | 12.5 (+68 %) | 2.11 (+22 %) | 22.9 (+108 %) | Instrumentation – perf , ftrace , eBPF probes

    Interpretation – The minimum latency is almost untouched (< 2 % increase) across all tests. The top latency (p99) is where NSFS‑012’s event‑driven path and contention for nsfs.max_events become evident, especially when the virtual block device is heavily shared (T‑07).