A Snappy B+-Trees Index Reconstruction for Main-Memory Storage Systems

2006 ◽  
pp. 1036-1044 ◽  
Author(s):  
Ig-hoon Lee ◽  
Junho Shim ◽  
Sang-goo Lee
Keyword(s):  
Storage Systems ◽  
Main Memory ◽  
Memory Storage ◽  
B Trees

scholarly journals An Index Structure for Main-memory Storage Systems using The Level Pre-fetching

2007 ◽  
Vol 3 (1) ◽  
pp. 19-23
Author(s):  
Seok-Jae Lee ◽  
Jong-Hyun Yoon ◽  
Seok-Il Song ◽  
Jae-Soo Yoo
Keyword(s):  
Storage Systems ◽  
Main Memory ◽  
Memory Storage ◽  
Index Structure

A Concurrency Buffer Control in B-Trees for Flash-Memory Storage Systems

2012 ◽  
Vol 4 (1) ◽  
pp. 9-12 ◽  
Author(s):  
Chin-Hsien Wu ◽  
Yu-Hsun Lin
Keyword(s):  
Flash Memory ◽  
Storage Systems ◽  
Memory Storage ◽  
B Trees ◽  
Buffer Control

scholarly journals Implications of NVM Based Storage on Memory Subsystem Management

2020 ◽  
Vol 10 (3) ◽  
pp. 999
Author(s):  
Hyokyung Bahn ◽  
Kyungwoon Cho
Keyword(s):  
Random Access ◽  
Disk Drive ◽  
Main Memory ◽  
Memory Storage ◽  
Storage Device ◽  
Storage Devices ◽  
Large Memory ◽  
Memory Subsystems ◽  
Non Volatile Memory ◽  
Management Techniques

Recently, non-volatile memory (NVM) has advanced as a fast storage medium, and legacy memory subsystems optimized for DRAM (dynamic random access memory) and HDD (hard disk drive) hierarchies need to be revisited. In this article, we explore the memory subsystems that use NVM as an underlying storage device and discuss the challenges and implications of such systems. As storage performance becomes close to DRAM performance, existing memory configurations and I/O (input/output) mechanisms should be reassessed. This article explores the performance of systems with NVM based storage emulated by the RAMDisk under various configurations. Through our measurement study, we make the following findings. (1) We can decrease the main memory size without performance penalties when NVM storage is adopted instead of HDD. (2) For buffer caching to be effective, judicious management techniques like admission control are necessary. (3) Prefetching is not effective in NVM storage. (4) The effect of synchronous I/O and direct I/O in NVM storage is less significant than that in HDD storage. (5) Performance degradation due to the contention of multi-threads is less severe in NVM based storage than in HDD. Based on these observations, we discuss a new PC configuration consisting of small memory and fast storage in comparison with a traditional PC consisting of large memory and slow storage. We show that this new memory-storage configuration can be an alternative solution for ever-growing memory demands and the limited density of DRAM memory. We anticipate that our results will provide directions in system software development in the presence of ever-faster storage devices.

An Adaptive Endurance-Aware ${B^+}$ -Tree for Flash Memory Storage Systems

2014 ◽  
Vol 63 (11) ◽  
pp. 2661-2673 ◽  
Author(s):  
Hua-Wei Fang ◽  
Mi-Yen Yeh ◽  
Pei-Lun Suei ◽  
Tei-Wei Kuo
Keyword(s):  
Flash Memory ◽  
Storage Systems ◽  
Memory Storage

Optimizing Tail Latency of LDPC based Flash Memory Storage Systems Via Smart Refresh

2019 ◽  
Author(s):  
Yina Lv ◽  
Liang Shi ◽  
Qiao Li ◽  
Congming Gao ◽  
Chun Jason Xue ◽  
...  
Keyword(s):  
Flash Memory ◽  
Storage Systems ◽  
Memory Storage
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