Efficient memory page management for NVDIMM-based big data processing environments
- 주제(키워드) Big data , NVDIMM , Page fault , Page management , TLB
- 지원기관 Institute for Information and communications Technology Promotion
- 관리정보기술 faculty
- 등재 SCOPUS
- 발행기관 Institute of Electrical and Electronics Engineers Inc.
- 발행년도 2017
- URI http://www.dcollection.net/handler/ewha/000000156001
- ISBN 9781538630136
- 본문언어 영어
- Published As http://dx.doi.org/10.1109/ICISCE.2017.67
초록/요약
Due to the recent computing paradigm shift from desktop to cloud environments, NVDIMM-based memory architectures for big data processing are catching considerable interest. In this paper, we present an efficient page management scheme for large-scale NVDIMM memory. The proposed architecture carefully determines the page size of a large-scale memory system such that TLB hit ratio is improved significantly without increasing the page fault ratio, thereby allowing big-data processing efficiently, which was not easy in conventional DRAM-based memory systems. The main contribution of this paper is that it proposes a new paradigm of "NVDIMM-based large memory architecture" instead of conventional "DRAM-based memory system" and presents efficient management techniques for that architecture by considering both TLB performances and page fault rates. © 2017 IEEE.
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