--- name: fast-writing-style description: Use when revising a USENIX FAST paper for a storage contribution on the first page, a design/mechanism narrative a storage reviewer can follow, an evaluation framed as the storage cost it changes (write amplification, tail latency, endurance, crash consistency), double-blind wording, and disciplined use of the USENIX two-column page budget. --- # FAST Writing Style Use this when revising the main paper. FAST papers are read by storage systems people, so they need a **storage contribution stated on the first page** and an evaluation a storage reviewer trusts. The failure this skill prevents is a technically fine paper that reads like a general systems demo or a throughput-bar benchmark with "storage" in the title. ## Revision rules - **Lead with the storage contribution:** the storage problem a practitioner recognizes, the *storage cost* current designs pay (write amplification, tail latency, endurance, space, or a consistency gap), your design or finding, real-device evidence, and what changes for storage systems. - **Frame the evaluation as a cost you change, not a speed you win.** State up front which storage quantity the paper moves; a reader should know by the end of the intro whether the headline is bytes-written, p99 latency, drive lifetime, or recovery correctness. - **Pair every claim with proportional, real-device evidence** — named drives and firmware, standard workloads/traces, a distribution not just a mean, a device counter not an estimate — not adjectives. - **Make the device reality visible early.** A storage reviewer wants to know the hardware and its state; a testbed table and a sentence on preconditioning/aging belong near the evaluation's start, not buried. - **Protect the invariant.** If the design defers, batches, or reorders writes, say early that you verify crash consistency/durability still holds; do not let the reader wonder. - **Respect the USENIX page budget** (FAST '27: ≤12 pages long / ≤6 short, references excluded) as a design constraint. It is a firm two-column limit; recover space editorially, never by shrinking the evaluation or the durability discussion. - **Maintain double-blind** in self-citations (third person), system/tool names, acknowledgements, funding, datacenter names, and trace-hosting URLs. ## Storage paper skeleton | Section | Job it must do | Common failure | |---|---|---| | Intro | Storage problem, the cost paid, contribution, evidence preview, storage payoff — first page | Leads with a technology trend, not a storage cost | | Background | The device/media/workload reality the design exploits | Generic background not tied to the mechanism | | Design / Study | The mechanism or the study protocol, reproducibly | Design described too thinly to rebuild | | Evaluation | Each claim answered with the right storage metric on real devices | Throughput bar standing in for the claimed cost | | Consistency/durability | The invariant the change risks, tested | Consistency asserted, never crash-tested | | Related work | Delta-first positioning against storage literature | Citation catalog with no contrast | ## Sentence-level rewrites | Draft pattern | FAST-safe rewrite | |---|---| | "Our system is much faster." | "cuts write amplification from X to Y on at steady state" | | "We evaluate on an SSD." | "on , preconditioned to steady state, fill Z%, TRIM on" | | "Low latency." | "p99.9 read latency of ... under ; full distribution in Fig. N" | | "It is reliable / consistent." | "recovers a consistent state at all injected crash points (§6)" | | "State-of-the-art throughput." | Claim scoped to the devices, workloads, and state actually tested | | "We reduce writes by ~2x." | "bytes-written from device counters fell 2.1x (95% CI ...), vs. the tuned baseline" | ## Storage-metric discipline ```text [Endurance] report bytes-written / P/E cycles from device counters, not estimates [Latency] report the distribution (p50/p99/p99.9) under load, not the mean [Amplification] separate read vs. write amplification; say how each is measured [Space] on-media footprint, including metadata/GC overhead [Durability] the crash-consistency invariant and the test that checks it -> lead each result with the metric that matches the claim; put device+state beside it ``` ## Vignette: compressing a design-plus-study paper A draft with a new cache design, six microbenchmarks, and a sprawling background: keep the design, the two experiments that carry the headline (miss-ratio-vs-cost and tail latency on real traces), and a crash-consistency check; move secondary microbenchmarks and full parameter sweeps to the artifact with forward references; cut background to the media/workload facts the mechanism needs. The test of a good cut: a reviewer should be able to answer "what storage cost does this change, by how much, on what hardware, and does it stay correct?" from the body alone. ## Output format ```text [Writing diagnosis] clear / under-motivated / wrong-metric / device-reality-missing / over-scoped [First-page fix] [Metric audit] storage metric -> measured on real devices? yes/no> [Durability check placement] [Anonymity edits] ```