教師資料查詢 | 類別: 期刊論文 | 教師: 衛信文 Wei, Hsin-Wen (瀏覽個人網頁)

標題:Enabling Write-Reduction Multiversion Scheme With Efficient Dual-Range Query Over NVRAM
學年
學期
出版(發表)日期2021/04/26
作品名稱Enabling Write-Reduction Multiversion Scheme With Efficient Dual-Range Query Over NVRAM
作品名稱(其他語言)
著者I-Ju Wang; Yu-Pei Liang; Tseng-Yi Chen; Yuan-Hao Chang; Bo-Jun Chen; Hsin-Wen Wei; Wei-Kuan Shih
單位
出版者
著錄名稱、卷期、頁數IEEE Transactions on Very Large Scale Integration Systems,29(6),p.1244-1256
摘要Due to cyber-physical systems, a large-scale multiversion indexing scheme has garnered significant attention in recent years. However, modern multiversion indexing schemes have significant drawbacks (e.g., heavy write traffic and weak key- or version-range-query performance) while being applied to a computer system with a nonvolatile random access memory (NVRAM) as its main memory. Unfortunately, with the considerations of high memory cell density and zero-static power consumption, NVRAM has been regarded as a promising candidate to substitute for dynamic random access memory (DRAM) in future computer systems. Therefore, it is critical to make a multiversion indexing scheme friendly for an NVRAM-based system. For tackling this issue with modern multiversion indexing schemes, this article proposes a write-reduction multiversion indexing scheme with efficient dual-range queries. According to the experiments, our scheme effectively reduces the amount of write traffic generated by the multiversion indexing scheme to NVRAM. It offers efficient dual-range queries by consolidating the proposed version forest and the multiversion tree.
關鍵字Random access memory , Nonvolatile memory , Indexing Vegetation;Systems architecture;Media;Very large scale integration
語言英文(美國)
ISSN
期刊性質國外
收錄於SCI;EI;
產學合作
通訊作者
審稿制度
國別美國
公開徵稿
出版型式,電子版,紙本
相關連結
SDGs
  • 產業創新與基礎設施
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