fast-author-response

Productivity

Use when drafting USENIX FAST author responses, covering the short pre-notification rebuttal during the author-response period and — distinctively — the one-shot-revision change ledger that maps every required change (including any newly required storage experiments) to a concrete result, resubmitted at the next deadline for a terminal accept/reject.

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FAST Author Response

Use this after FAST reviews arrive. FAST has two distinct speaking turns, and conflating them is a common mistake: a short author-response (rebuttal) during the pre-notification window, and — if you receive a one-shot revision — a full change ledger accompanying a revised paper that is re-read for a terminal accept/reject. Both keep double-blind: the response and any revision material must not reveal authors, institutions, systems by name, or a private repository.

Triage (both turns)

Answer what affects the decision: the storage contribution's significance, soundness of the measurement, device/state credibility, baseline fairness, tail-latency and endurance evidence, crash-consistency, and clarity.
Use evidence that already exists or that the revision will concretely add — never a vague promise.
Correct factual misreadings first; a reviewer who misread a device table or a steady-state caveat is often persuadable.
Keep every word double-blind. Do not name your system's real name, institution, funder, datacenter, or a private trace URL, even to strengthen a point.

Turn 1 — the author-response rebuttal

Short and decision-focused, written to fit the response form. One decision-critical point per reviewer beats an exhaustive reply. Concede what is true, correct what is misread, and point to exactly where the answer already lives in the submitted paper or artifact. Typical high-value moves for a storage paper:

Point to the testbed table / firmware / preconditioning detail a reviewer thought was missing.
Clarify that a number is a device-counter measurement, not an estimate, with the section reference.
If asked for a baseline or a crash test you cannot run in the window, say what you can commit to and how you would bound the gap — do not paste unverifiable new results.

Turn 2 — the one-shot-revision change ledger (the distinctive FAST move)

A one-shot revision is a bounded, terminal revise-and-resubmit: the revised paper, submitted at the next deadline, can only be accepted or rejected. The response is a change ledger: for every required item, either do it and show it, or (rarely) explain precisely why it is infeasible and what you did instead.

[R1.1] Required: "Compare against the tuned stock compactor at steady state"
       -> Action: DONE  | added §5.3 + Table 4: bytes-written on <SSD, firmware> at steady state,
          tuned baseline with equal budget; 2.1x reduction (95% CI ...)
       -> Where: §5.3, Table 4; artifact/reproduce/rq2/
[R2.1] Required: "Show crash consistency is preserved"
       -> Action: DONE  | added §6: block-level record-and-replay at 500 injected crash points,
          all recover a consistent state
       -> Where: §6, artifact/crashtest/
[R2.2] Required: "Report tail latency, not mean"
       -> Action: DONE  | Fig. 7 now shows p50/p99/p99.9 under load
[R3.1] Requested: "Add a second datacenter trace"
       -> Action: PARTIAL | added one archived production trace; a second is under NDA and cannot be
          shared, so external validity is bounded explicitly in §7

The rule that turns a one-shot revision into an acceptance: every required item is visibly done. Because the second read is terminal, a required change that is neither done nor squarely addressed is what causes the reject — there is no third round to fix it.

Reviewer pushback patterns

Pushback	What it signals	FAST-ready response
"Was the SSD preconditioned?"	Steady-state / device-state doubt	Show the preconditioning protocol and re-report at steady state
"You report mean, not tail, latency"	Latency-distribution objection	Add p99/p99.9 distributions under load
"Baseline isn't tuned / is old hardware"	Comparison-fairness doubt	Re-run tuned, same hardware and state; report new numbers
"You never crash-test the durability claim"	Consistency-verification gap	Add fault-injection / record-and-replay recovery results
"WA is estimated, not measured"	Measurement-soundness doubt	Read bytes-written from device counters; show the script
"Does this hold beyond one drive/datacenter?"	External-validity limit	Add devices/traces or bound the claim explicitly

Anonymity in the response (easy to slip)

Refer to your own prior work in the third person, as in the paper.
Describe artifact/trace additions without linking an identity-revealing repository or host; use the anonymized location.
Do not thank a named collaborator, funder, or hardware donor inside the response.
Do not name your system, product, or datacenter even when a new result would read better with it.

Calibration

Respond to the criterion the reviewer actually raised, not the one you would rather defend.
Length and format norms for the response, and the exact one-shot-revision instructions, vary by cycle; follow the current instructions precisely.
The revised paper — not the ledger — must carry the argument; the ledger is a map to the changes.

Output format

[Turn] author-response rebuttal / one-shot-revision change ledger
[Priority issue] <reviewer concern>
[Decision dimension] significance / measurement soundness / device state / baseline / consistency / clarity
[Change ledger] <required item -> DONE/PARTIAL/infeasible-with-reason + where in paper/artifact>
[Anonymity check] <no identity leak in the response: passed/issues>