]> 2026-09-08T15:37:44+09:00 Lesson:rigorous rental memory management for embedded systems 5632faf0 3000 ko contiguous device memory를 쓰는 embedded/mobile 시스템의 idle capacity 재활용에 해당한다. device-reserved region을 rental memory로 사용하고 즉시 reclaim 가능한 volatile page를 배치한다. lazy migration과 adaptive activation으로 utilization과 반환 비용을 보완한다. S3ResearchAgent medium Publication scope: international. Lab publication metadata: 1. Jinkyu Jeong, Hwanju Kim, Jeaho Hwang, Joonwon Lee, and Seungryoul Maeng, "Rigorous Rental Memory Management for Embedded Systems," ACM Transactions on Embedded Computing Systems, vol. 12, no. 1, article ID 43, Mar. 2013 Verification level: official_abstract. Sources checked: https://doi.org/10.1145/2435227.2435239 https://yonsei.elsevierpure.com/en/publications/rigorous-rental-memory-management-for-embedded-systems/ 2026-07-16T15:07:46Z 2461238.1303935 Publication record 1: Jinkyu Jeong, Hwanju Kim, Jeaho Hwang, Joonwon Lee, and Seungryoul Maeng, "Rigorous Rental Memory Management for Embedded Systems," ACM Transactions on Embedded Computing Systems, vol. 12, no. 1, article ID 43, Mar. 2013 0.77초 반환 지연은 application initialization에 숨길 수 있다는 가정에 의존한다. 성능범위가 2–200%로 매우 넓어 workload dependence가 크다. Technical interpretation: 예약 메모리 재사용에서는 평균 효율보다 원소유자에게 되돌리는 bounded reclamation path가 핵심이다. Rigorous Rental Memory Management for Embedded Systems Android/Linux smartphone board에서 반환시간은 모든 테스트에서 0.77초 미만이었고, 가용 메모리와 workload memory intensity에 따라 throughput이 2–200% 증가했다. 카메라·비디오 decoder 등에 예약된 contiguous memory가 idle일 때 일반 용도로 빌려주되, 장치가 다시 필요할 때 빠르게 회수할 수 있는가? lab 예약 메모리 재사용에서는 평균 효율보다 원소유자에게 되돌리는 bounded reclamation path가 핵심이다. Draft 2026-07-18T14:58:59Z 2461240.124294 2026-07-18T14:58:59Z 2461240.124294 rigorous rental memory management for embedded systems 5632faf0 3000 ev_b156cd6510ec4c85 2026-07-16T15:07:48Z 2461238.1304167 S3ResearchAgent Jinkyu Jeong, Hwanju Kim, Jeaho Hwang, Joonwon Lee, and Seungryoul Maeng, "Rigorous Rental Memory Management for Embedded Systems," ACM Transactions on Embedded Computing Systems, vol. 12, no. 1, article ID 43, Mar. 2013 paper Source: Yonsei University Computer Systems Laboratory publication list supplied by the user. Manifestation 1 of 1. not_recorded rigorous rental memory management for embedded systems 5632faf0# 7141f2f95f8877ea9113f7113773d917 3000 canonical-paper-v2-5632faf0 2026-07-18T05:35:33Z 2461239.7330208 S3ResearchAgent Jinkyu Jeong, Hwanju Kim, Jeaho Hwang, Joonwon Lee, and Seungryoul Maeng, "Rigorous Rental Memory Management for Embedded Systems" ACM Transactions on Embedded Computing Systems, vol. 12, no. 1, article ID 43, Mar. 2013 paper 정본 Lesson 보강 근거. 검토 원본: Lesson:technical_review_rigorous_rental_memory_management_for_embedded_systems_1b4e69c5. 확인 범위: official_abstract. 확인한 자료: https://doi.org/10.1145/2435227.2435239 ; https://yonsei.elsevierpure.com/en/publications/rigorous-rental-memory-management-for-embedded-systems/. 질문, 방법, 평가, 해석, 재사용 교훈, 적용 범위와 한계를 같은 Lesson 본문에 통합했습니다. official_abstract rigorous rental memory management for embedded systems 5632faf0# 79f66cdf630799fc653f4036c377d8d2 3000 2026-07-18T14:58:59Z 2461240.124294 S3ResearchAgent verify_dc69d5320588915d8d85 metadata_only context 보존 객체는 cookie/landing page이므로 서지 위치만 확인했고 본문 주장을 검증하지 못함. inconclusive 3d710bcc77cf522af1048eef7f8aa7c3443e34bc3313646f384b82b6371ec625 R2-RESTIC:7f893ca5afd2cfb6fe320e9b61063ccc70e75a7a96589420038c8cf338b273be; archive-manifest-sha256=e28171fb69e141ce306d92dfe4b10e6cdc6e81d4fa910c30a846204dbcf8edf8; sha256=3d710bcc77cf522af1048eef7f8aa7c3443e34bc3313646f384b82b6371ec625 보존 파일 objects/sha256/3d/3d710bcc77cf522af1048eef7f8aa7c3443e34bc3313646f384b82b6371ec625 ev_b156cd6510ec4c85 19a149184cba88371475a1e80043ca7a1783b9f236f8456ebe73648c6c9e8722 rigorous rental memory management for embedded systems 5632faf0# 40922c20eb0d529b6b09bc9a7f46d9b8 3000 2026-07-18T14:58:59Z 2461240.124294 S3ResearchAgent verify_8f32ffdc456cb8d9853b metadata_only context 보존 객체는 cookie/landing page이므로 서지 위치만 확인했고 본문 주장을 검증하지 못함. inconclusive 3d710bcc77cf522af1048eef7f8aa7c3443e34bc3313646f384b82b6371ec625 R2-RESTIC:7f893ca5afd2cfb6fe320e9b61063ccc70e75a7a96589420038c8cf338b273be; archive-manifest-sha256=e28171fb69e141ce306d92dfe4b10e6cdc6e81d4fa910c30a846204dbcf8edf8; sha256=3d710bcc77cf522af1048eef7f8aa7c3443e34bc3313646f384b82b6371ec625 보존 파일 objects/sha256/3d/3d710bcc77cf522af1048eef7f8aa7c3443e34bc3313646f384b82b6371ec625 canonical-paper-v2-5632faf0 72c8407904ef9e6cb5414078a43ec7f7b06e60d9973b5586cb00d89f07f952a3 rigorous rental memory management for embedded systems 5632faf0# c0e9f45aa0985fc52f5ba561ea9fd412 Lesson:technical review rigorous rental memory management for embedded systems 1b4e69c5 3000 ko technical review rigorous rental memory management for embedded systems 1b4e69c5 Supersedes 102 ko Supersedes