zFTL: power-efficient data compression support for NAND flash-based consumer electronics devices

2011 ◽  
Vol 57 (3) ◽  
pp. 1148-1156 ◽  
Author(s):  
Youngjo Park ◽  
Jin-soo Kim
Keyword(s):  
Data Compression ◽  
Consumer Electronics ◽  
Nand Flash ◽  
Power Efficient ◽  
Efficient Data

Energy Efficient Data Compression in Cloud based IoT

2021 ◽  
pp. 1-1
Author(s):  
Halah Mohammed Al-Kadhim ◽  
Hamed S. Al-Raweshidy
Keyword(s):  
Data Compression ◽  
Energy Efficient ◽  
Efficient Data

scholarly journals A New ALU Design using PNS-FCR: Static CMOS Logic for Microprocessors

2019 ◽  
Vol 8 (6S2) ◽  
pp. 876-882
Keyword(s):  
Power Consumption ◽  
Integrated Circuit ◽  
Design Methodology ◽  
Total Power ◽  
Data Path ◽  
Power Efficient ◽  
Efficient Data ◽  
Main Component ◽  
Static Logic ◽  
Important Design

Arithmetic Logic Unit (ALU) is the main component in the processors. Most important design consideration in integrated circuit is power. In all the components of ALU data path is the active one and it consumes more percent of power in the total power. In the modern microprocessors it is important to have power efficient data paths. To reduce the power consumption in microprocessors the ALU is designed using PNS-FCR static CMOS logic. In this paper static CMOS logic is used to reduce power consumption. Static technique does not need any clock. So it leads to less power consumption. For the implementation of the ALU with the PNS-FCR static logic mentor graphics tool is used. The power consumption of ALU is compared with and without using FCR. An 8-bit ALU is designed in mentor graphics with 130nm technology. The proposed design methodology gives less power consumption

scholarly journals ZDC: A Zone Data Compression Method for Solid State Drive Based Flash Memory

Symmetry ◽  
2020 ◽  
Vol 12 (4) ◽  
pp. 623
Author(s):  
Xin Ye ◽  
Zhengjun Zhai ◽  
Xiaochang Li
Keyword(s):  
Solid State ◽  
Data Compression ◽  
Data Storage ◽  
Flash Memory ◽  
Research Result ◽  
Nand Flash ◽  
Data Deduplication ◽  
Solid State Drive ◽  
Research Results ◽  
Hot Zone

Solid-state drive (SSD) with flash memory as the storage medium are being widely used in various data storage systems. SSD data compression means that data is compressed before it is written to Not-And (NAND) Flash. Data compression can reduce the amount of data written in NAND Flash and improve the performance and reliability of SSDs. At present, the main problem facing data compression of SSD is how to improve the efficiency of data compression and decompression. In order to improve the performance of data compression and decompression, this study proposes a method of SSD data deduplication based on zone division. First, this study divides the storage space of the SSD into zones and divides them into one hot zone and multiple cold zones according to the different erasing frequency. Second, the data in each zone is divided into hot data and cold data according to the number of erasures. At the same time, the address mapping table in the hot zone is loaded into the cache. Finally, when there is a write or read request, the SSD will selectively compress or decompress the data according to the type of different zones. Through simulation tests, the correctness and effectiveness of this study are verified. The research results show that the data compression rate of this research result can reach 70–95%. Compared with SSD without data compression, write amplification is reduced by 5 to 30%, and write latency is reduced by 5 to 25%. The research results have certain reference value for improving the performance and reliability of SSD.

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