326 0

Full metadata record

DC FieldValueLanguage
dc.contributor.author정형수-
dc.date.accessioned2021-05-12T05:53:05Z-
dc.date.available2021-05-12T05:53:05Z-
dc.date.issued2020-03-
dc.identifier.citationSAC '20: Proceedings of the 35th Annual ACM Symposium on Applied Computing, Page. 394-403en_US
dc.identifier.isbn978-1-4503-6866-7-
dc.identifier.urihttps://dl.acm.org/doi/10.1145/3341105.3375756-
dc.identifier.urihttps://repository.hanyang.ac.kr/handle/20.500.11754/162003-
dc.description.abstractFor the past four decades, database checkpointing has long been a major system activity triggering heavy I/O and leading to performance fluctuations. This is unpleasing to database systems pursuing good and steady performance on high-end computing platforms. Hence, commercial and open-source databases usually spawn massive page flushers to complete the required tasks with system disruptions being minimized. In this work, to reduce the hefty cost, we propose Demeter, designs for hardware-assisted database checkpointing that unbundles checkpointing by offloading the task of building new pages from physical changes onto storage devices equipped with near-data processing (NDP) capability. Demeter consists of two parts; a software component designed for generating physical updates without affecting foreground transactions and a hardware part constructing new pages from the changes. For evaluation, we have built a prototype system based on the Biscuit framework and integrated Demeter with MariaDB. Experimental results demonstrated that the Demeter-enabled engine substantially reduces the amount of I/O and its foreground transaction processing gains more throughput than the vanilla system under the OLTP workloads modifying a large volume of data pages.en_US
dc.description.sponsorshipThis work was supported by the National Research Foundation of Korea grant (2017R1A2B4006134) funded by the Korea government. This work was also supported by the R&D program of MOTIE/KEIT (10077609). We would like to thank the anonymous referees for their valuable comments and helpful suggestions.en_US
dc.language.isoenen_US
dc.publisherACMen_US
dc.subjectdatabase checkpointingen_US
dc.subjectnear-data processingen_US
dc.titleDEMETER: Hardware-assisted Database Checkpointingen_US
dc.typeArticleen_US
dc.identifier.doi10.1145/3341105.3375756-
dc.relation.page394-403-
dc.contributor.googleauthorOh, Hyeonseok-
dc.contributor.googleauthorJang, Hyeongwon-
dc.contributor.googleauthorKim, Jaeeun-
dc.contributor.googleauthorKim, Jongbin-
dc.contributor.googleauthorHan, Hyuck-
dc.contributor.googleauthorKang, Sooyong-
dc.contributor.googleauthorJung, Hyungsoo-
dc.relation.code20200164-
dc.sector.campusS-
dc.sector.daehakCOLLEGE OF ENGINEERING[S]-
dc.sector.departmentDEPARTMENT OF COMPUTER SCIENCE-
dc.identifier.pidhyungsoo.jung-
Appears in Collections:
COLLEGE OF ENGINEERING[S](공과대학) > COMPUTER SCIENCE(컴퓨터소프트웨어학부) > Articles
Files in This Item:
There are no files associated with this item.
Export
RIS (EndNote)
XLS (Excel)
XML


qrcode

Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.

BROWSE