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학술대회 Analysis of I/O Performance for Optimizing Software Defined Storage in Cloud Integration
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저자
차재근, 김성운
발행일
201812
출처
International Conference on Communication and Information Systems (ICCIS) 2018, pp.1-5
DOI
https://dx.doi.org/10.1109/ICOMIS.2018.8645041
협약과제
18HS3500, 온프레미스 스토리지와 퍼블릭 클라우드 스토리지간 데이터 통합 관리 및 신뢰성 보장 기술 개발, 김성운
초록
This paper introduces the essentials for implementing software-defined storage using a combination of on-premises and public cloud storage. We deploy three fundamental factors (chunk-meta data cache, data distribution processing and block-object storage interface) to combine storages. In order to provide customer with best performance of storage, it is essential to analyze I/O performance according to characteristics and configuration of the combined storages. As a result, we measure I/O performance of the deployed storage and the data write speed is increased up to 44% when the size of one chunk data was changed from 4MB and 128MB. Also, the data storing time is reduced if the number of physical storage devices increase. Additionally, the disk I/O performance decreases when the number of program to provide interface for object storages is increased in a single physical storage.
키워드
Cloud integrated storage, Cloud integration, Cloud storage, I/O performance measurement, On-premise storage, Software defined storage
KSP 제안 키워드
Best performance, Cloud integration, Data Distribution, Disk I/O, Distribution Processing, I/O performance, Meta-data, Performance measurement, Public cloud storage, Software Defined Storage(SDStorage), Storage device