Hercules: Intelligent Coupling of Dual-Mode Flash Memory and Hard Disk Drive

Author:

Cheng Wen1,Zou Yuqi1,Zeng Lingfang2,Wang Yang3

Affiliation:

1. Wuhan National Laboratory for Optoelectronics, Huazhong University of Science and Technology, Wuhan 430074, China

2. Research Center for Intelligent Computing System, Zhejiang Lab, Hangzhou 311121, China

3. Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen 518055, China

Abstract

Abstract The write performance of multi-level cell (MLC) is several times slower than single-level cell (SLC); however, the cost per bit of MLC is much lower than SLC. Dual-mode flash (the medium can be partially switched to SLC mode by programming only 1 bit in some cells) can combine SLC and MLC to provide trading density opportunity for performance. In this paper, we present Hercules—a hybrid storage system that couples dual-mode flash memory and hard drive disk (HDD)—based on the content locality principle for high storage performance. The data are divided into two types: the reference data for read operation and the delta data for write operation. The reference data are stored in SLC and the delta data in MLC or HDD in sequential orders. Hercules organizes the metadata for the mapping of the physical locations of the reference blocks and the delta data of the original blocks, intelligently identifies hot/cold data and performs the data migration between MLC and disk for performance improvements. To validate our findings, we implemented Hercules and made evaluation to show that Hercules can effectively improve the data access speed and reduce the response time, compared with the Flashcache storage structure, and in particular, with Hercules, we can achieve 10% performance improvement over the system in absence of hot delta data caching.

Funder

Key-Area Research and Development Program of Guangdong Province

National Natural Science Foundation of China

National Science Foundation of Hubei Province

Science and Technology Planning Project of Guangdong Province

Publisher

Oxford University Press (OUP)

Subject

General Computer Science

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