]> 2026-09-08T17:55:12+09:00 Lesson:mitigating application resource overload with targeted task cancellation 90270bf8 3000 ko Multi-stage services with cancellable tasks and application-visible lock, pool, memory, queue, CPU, or I/O overload. Limits: Integration required manual annotation, only marked-safe tasks can be cancelled, and results cover six applications and 16 reproduced cases. Atropos monitors application resource use and per-request consumption, identifies the cancellable running task whose termination releases the most contended load, and integrates safe cancellation initiators into six applications. S3ResearchAgent high Venue: SOSP. Year: 2025. Front-door shedding can reject innocent new work while already-running tasks monopolize internal resources. Verification: official DOI/proceedings metadata, SOSP program, and author/institution summaries; confidence=medium. 2026-07-16T15:03:19Z 2461238.1273032 Mitigating Application Resource Overload with Targeted Task Cancellation. SOSP 2025. Overload control improves when it attributes pressure to active culprit tasks and invokes application-safe cancellation, rather than rejecting arriving victim requests or statically partitioning resources. Mitigating Application Resource Overload with Targeted Task Cancellation workloads=16 reproduced real-world overload cases across MySQL, Apache, PostgreSQL, Elasticsearch, Solr, and etcd; baselines=non-overloaded execution, Protego, pBox, DARC, and PARTIES; metrics=normalized throughput, normalized p99 latency, request-drop rate, SLO attainment; results=Atropos sustains average normalized throughput 0.96 and average normalized p99 latency 1.16 while dropping fewer than 0.01% of requests. It meets the SLO in 14/16 cases; the reported multi-objective policy reduces normalized throughput by 10.2% relative to its performance-priority setting in the evaluated trade-off. During overload, which running tasks should be cancelled to preserve SLO attainment while minimizing request loss? lab Instrument application-defined resources and existing cancellation initiators; choose victims by released contended load, and track throughput, tail latency, drop rate, and cancellation safety together. Draft 2026-07-18T15:00:28Z 2461240.1253241 2026-07-18T15:00:28Z 2461240.1253241 mitigating application resource overload with targeted task cancellation 90270bf8 3000 ev_38857c59321440ac 2026-07-16T15:03:20Z 2461238.1273148 S3ResearchAgent Mitigating Application Resource Overload with Targeted Task Cancellation. SOSP 2025. paper Bibliographic paper record. not_recorded mitigating application resource overload with targeted task cancellation 90270bf8# 95f74f0b44997ca717f47f0b7cc61bb2 3000 verified-content-v1-0141 2026-07-16T18:57:41Z 2461238.2900579 S3ResearchAgent Yigong Hu; Zeyin Zhang; Yicheng Liu; Yile Gu; Shuangyu Lei; Baris Kasikci; Peng Huang. Mitigating Application Resource Overload with Targeted Task Cancellation. SOSP, 2025. paper Verification: official DOI/proceedings metadata, SOSP program, and author/institution summaries; confidence=medium. Canonical title: Mitigating Application Resource Overload with Targeted Task Cancellation Question: During overload, which running tasks should be cancelled to preserve SLO attainment while minimizing request loss? Context: Front-door shedding can reject innocent new work while already-running tasks monopolize internal resources. Method: Atropos profiles per-task resource demand and targets the tasks responsible for overload rather than cancelling indiscriminately. Evaluation: workloads=; baselines=front-door/request shedding; metrics=SLO attainment and request loss; results=The primary sources verified the mechanism and artifact-backed SOSP publication, but accessible text did not expose unambiguous quantitative results. Interpretation: Overload control improves when cancellation follows causal resource attribution instead of arrival order. Reusable lesson: Attribute resource pressure to active work before choosing victims. Applicability: Multi-stage services with SLOs and cancellable tasks during CPU/memory/resource overload. Limits: Depends on timely attribution and safe cancellation points; quantitative evaluation remains abstract-incomplete. not_recorded mitigating application resource overload with targeted task cancellation 90270bf8# b65440280dc1dfc065ca476bf2eb9da3 3000 canonical-paper-v2-90270bf8 2026-07-18T05:29:47Z 2461239.7290162 S3ResearchAgent Yigong Hu; Zeyin Zhang; Yicheng Liu; Yile Gu; Shuangyu Lei; Baris Kasikci; Peng Huang. Mitigating Application Resource Overload with Targeted Task Cancellation. SOSP, 2025. paper Verification: official DOI/proceedings metadata, SOSP program, and author/institution summaries; confidence=medium. Canonical title: Mitigating Application Resource Overload with Targeted Task Cancellation Question: During overload, which running tasks should be cancelled to preserve SLO attainment while minimizing request loss? Context: Front-door shedding can reject innocent new work while already-running tasks monopolize internal resources. Method: Atropos profiles per-task resource demand and targets the tasks responsible for overload rather than cancelling indiscriminately. Evaluation: workloads=; baselines=front-door/request shedding; metrics=SLO attainment and request loss; results=The primary sources verified the mechanism and artifact-backed SOSP publication, but accessible text did not expose unambiguous quantitative results. Interpretation: Overload control improves when cancellation follows causal resource attribution instead of arrival order. Reusable lesson: Attribute resource pressure to active work before choosing victims. Applicability: Multi-stage services with SLOs and cancellable tasks during CPU/memory/resource overload. Limits: Depends on timely attribution and safe cancellation points; quantitative evaluation remains abstract-incomplete. partial_source mitigating application resource overload with targeted task cancellation 90270bf8# 573ce6746f7f9dbcf89852d29162b5a2 3000 2026-07-18T14:58:44Z 2461240.1241204 S3ResearchAgent verify_9fd4a028584f443255ad metadata_only context 보존 객체는 cookie/landing page이므로 서지 위치만 확인했고 본문 주장을 검증하지 못함. inconclusive 79e1cfc1cd3a2cf77a86b19613e58fa0f124fd29d9ea48597b9f30b432428a9f R2-RESTIC:7f893ca5afd2cfb6fe320e9b61063ccc70e75a7a96589420038c8cf338b273be; archive-manifest-sha256=e28171fb69e141ce306d92dfe4b10e6cdc6e81d4fa910c30a846204dbcf8edf8; sha256=79e1cfc1cd3a2cf77a86b19613e58fa0f124fd29d9ea48597b9f30b432428a9f 보존 파일 objects/sha256/79/79e1cfc1cd3a2cf77a86b19613e58fa0f124fd29d9ea48597b9f30b432428a9f ev_38857c59321440ac d0b541a887fa6e3b52436dc178cf66d433f01137f8660bcc3934ba3109b6b648 mitigating application resource overload with targeted task cancellation 90270bf8# 9a8e232a80ae23d361385bdf77bb6be2 3000 2026-07-18T14:58:44Z 2461240.1241204 S3ResearchAgent verify_61ebef466ccea8da488d metadata_only context 보존 객체는 cookie/landing page이므로 서지 위치만 확인했고 본문 주장을 검증하지 못함. inconclusive 79e1cfc1cd3a2cf77a86b19613e58fa0f124fd29d9ea48597b9f30b432428a9f R2-RESTIC:7f893ca5afd2cfb6fe320e9b61063ccc70e75a7a96589420038c8cf338b273be; archive-manifest-sha256=e28171fb69e141ce306d92dfe4b10e6cdc6e81d4fa910c30a846204dbcf8edf8; sha256=79e1cfc1cd3a2cf77a86b19613e58fa0f124fd29d9ea48597b9f30b432428a9f 보존 파일 objects/sha256/79/79e1cfc1cd3a2cf77a86b19613e58fa0f124fd29d9ea48597b9f30b432428a9f verified-content-v1-0141 7e5b7449a142c7a9f8767d4bc5d0db043e375186fcdaabbb398943a0833de992 mitigating application resource overload with targeted task cancellation 90270bf8# 1322dde8c4e12ef3a0f42a7189455355 3000 2026-07-18T14:58:44Z 2461240.1241204 S3ResearchAgent verify_792ea8b52e036b0db14b metadata_only context 보존 객체는 cookie/landing page이므로 서지 위치만 확인했고 본문 주장을 검증하지 못함. inconclusive 79e1cfc1cd3a2cf77a86b19613e58fa0f124fd29d9ea48597b9f30b432428a9f R2-RESTIC:7f893ca5afd2cfb6fe320e9b61063ccc70e75a7a96589420038c8cf338b273be; archive-manifest-sha256=e28171fb69e141ce306d92dfe4b10e6cdc6e81d4fa910c30a846204dbcf8edf8; sha256=79e1cfc1cd3a2cf77a86b19613e58fa0f124fd29d9ea48597b9f30b432428a9f 보존 파일 objects/sha256/79/79e1cfc1cd3a2cf77a86b19613e58fa0f124fd29d9ea48597b9f30b432428a9f canonical-paper-v2-90270bf8 0223426b69426a237116398179f9809220cb9f3012626c022932de591c28c9aa mitigating application resource overload with targeted task cancellation 90270bf8# bd8c3bc32d70b0b6d4fea95e59afa7e1 3000 2026-07-18T14:58:44Z 2461240.1241204 S3ResearchAgent verify_3008d596e42eb19d68a1 full_text attempt,observation,interpretation,reusable_lesson,applicability Current claims are contradicted or exceed the preserved source; revision is staged at low confidence. contradicts edc0238138cf81a0a77de826906b286c9fec89ccdf83761e103b06a457a78725 R2-RESTIC:7f893ca5afd2cfb6fe320e9b61063ccc70e75a7a96589420038c8cf338b273be; archive-manifest-sha256=e28171fb69e141ce306d92dfe4b10e6cdc6e81d4fa910c30a846204dbcf8edf8; sha256=edc0238138cf81a0a77de826906b286c9fec89ccdf83761e103b06a457a78725; adjudicated detailed correction DETAILED-Atropos SOSP 2025 §§1,5 and evaluation figures pre-revision source locator. canonical-paper-v2-90270bf8 0223426b69426a237116398179f9809220cb9f3012626c022932de591c28c9aa mitigating application resource overload with targeted task cancellation 90270bf8# 93700e0076d3b70f893726965fdaeec5 3000 2026-07-18T14:58:45Z 2461240.1241319 S3ResearchAgent verify_286f307b6f5951fdd595 full_text observation,interpretation,reusable_lesson Post-revision corrected claims are supported at the stated source scope. supports edc0238138cf81a0a77de826906b286c9fec89ccdf83761e103b06a457a78725 R2-RESTIC:7f893ca5afd2cfb6fe320e9b61063ccc70e75a7a96589420038c8cf338b273be; archive-manifest-sha256=e28171fb69e141ce306d92dfe4b10e6cdc6e81d4fa910c30a846204dbcf8edf8; sha256=edc0238138cf81a0a77de826906b286c9fec89ccdf83761e103b06a457a78725; adjudicated detailed correction DETAILED-Atropos SOSP 2025 §§1,5 and evaluation figures post-revision claim locator. canonical-paper-v2-90270bf8 0223426b69426a237116398179f9809220cb9f3012626c022932de591c28c9aa mitigating application resource overload with targeted task cancellation 90270bf8# c673879540e9211c669e87f6a9881be2