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학술지 Dynamic Data Migration in Hybrid Main Memories for In-Memory Big Data Storage
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저자
마이하이탄, 박경현, 이훈순, 김창수, 이미영, 허성진
발행일
201412
출처
ETRI Journal, v.36 no.6, pp.988-998
ISSN
1225-6463
출판사
한국전자통신연구원 (ETRI)
DOI
https://dx.doi.org/10.4218/etrij.14.0114.0012
협약과제
13VS3400, 차세대 메모리 기반의 빅데이터 분석 관리 소프트웨어 원천기술 개발, 허성진
초록
For memory-based big data storage, using hybrid memories consisting of both dynamic random-access memory (DRAM) and non-volatile random-access memories (NVRAMs) is a promising approach. DRAM supports low access time but consumes much energy, whereas NVRAMs have high access time but do not need energy to retain data. In this paper, we propose a new data migration method that can dynamically move data pages into the most appropriate memories to exploit their strengths and alleviate their weaknesses. We predict the access frequency values of the data pages and then measure comprehensively the gains and costs of each placement choice based on these predicted values. Next, we compute the potential benefits of all choices for each candidate page to make page migration decisions. Extensive experiments show that our method improves over the existing ones the access response time by as much as a factor of four, with similar rates of energy consumption.
키워드
Big data storage, Hybrid main memory, Inmemory data management
KSP 제안 키워드
Access Time, Big data storage, Data Management, Data migration, Dynamic random-access memory(DRAM), Hybrid main memory, Memory-based, Migration method, Page migration, access frequency, dynamic data