ETRI-Knowledge Sharing Plaform

ENGLISH

성과물

논문 검색
구분 SCI
연도 ~ 키워드

상세정보

학술대회 CapOS: Capacitor Error Resilience for Energy Harvesting Systems
Cited 7 time in scopus Download 14 time Share share facebook twitter linkedin kakaostory
저자
최종욱, 조현우, 정창희
발행일
202210
출처
International Conference on Embedded Software (EMSOFT) 2022 / IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems, pp.4539-4550
DOI
https://dx.doi.org/10.1109/TCAD.2022.3202861
협약과제
22HS3800, 전원 불안정 감내 자율적 에너지기반 컴퓨팅 시스템SW 원천기술 개발, 임유진
초록
Energy harvesting systems have emerged as an alternative to battery-operated Internet of Things (IoT) devices. To deal with frequent power outages in the absence of battery, energy harvesting systems rely on a capacitor-backed checkpoint mechanism also known as just-in-time (JIT) checkpointing. It checkpoints volatile data in nonvolatile memory (NVM) just before a power outage occurs - using the energy buffered in the capacitor - and restores the checkpointed data from NVM in the wake of the outage. While the JIT checkpointing gives an illusion that volatile data survive a power outage as if they were nonvolatile, it turns out that due to capacitor degradation, energy harvesting systems can unexpectedly fail the JIT checkpointing, losing or corrupting data across the outage. To address the problem, this article presents an operating system-driven solution called CapOS. At a high level, CapOS diagnoses the capacitor in a reactive yet safe manner. When the JIT checkpoint failure occurs, CapOS detects the capacitor degradation without causing the data corruption. To recover from such a capacitor error, CapOS electrically isolates the degraded capacitor - so that it restores its original capacitance by itself with the help of capacitor's resilient nature - and disables the JIT checkpointing. In case, power outages occur during the capacitor isolation, CapOS leverages undo logging with interval-based checkpointing for their recovery. Once the capacitor is fully recovered, CapOS gets back to the capacitor-based JIT checkpointing. The experimental results demonstrate that CapOS can effectively address the capacitor error of energy harvesting systems at a low run-time cost, without compromising the recovery of power outages.
KSP 제안 키워드
An operating system, Capacitor-based, Energy Harvesting(EH), Error Resilience(ER), Internet of thing(IoT), Just-in-Time, Non-Volatile Memory(NVM), Run time, data corruption, harvesting systems, power outage