ISSN 1000-1239 CN 11-1777/TP

• 综述 •

### 近似存储技术综述

1. 1(重庆大学计算机学院 重庆 400044); 2(重庆大学通信学院 重庆 400044) (wuyucqu@163.com)
• 出版日期: 2018-09-01
• 基金资助:
国家自然科学基金面上项目(61672116)；重庆市基础与前沿研究项目(cstc2016jcyjA0332)；中国博士后科学基金项目(2017M620412) This work was supported by the General Program of the National Natural Science Foundation of China (61672116), the Chongqing Basic and Frontier Research Program (cstc2016jcyjA0332), and the China Postdoctoral Science Foundation (2017M620412).

### Survey on Approximate Storage Techniques

Wu Yu1, Yang Juan1, Liu Renping1, Ren Jinting1, Chen Xianzhang1,2, Shi Liang1, Liu Duo1

1. 1(College of Computer Science, Chongqing University, Chongqing 400044); 2(College of Communication, Chongqing University, Chongqing 400044)
• Online: 2018-09-01

Abstract: With the rapid development of cloud computing and Internet of things, how to store the explosively growing data becomes a challenge for storage systems. In tackling this challenge, approximate storage technology draws broad attention for its huge potential in saving the cost of storage and improving the system performance. Approximate storage techniques trade off the accuracy of the outputs for performance or energy efficiency taking advantages of the intrinsic tolerance to inaccuracies of many common applications. In this way, the applications improve their performance or energy efficiency while meeting the user requirements. Therefore, how to exploit the features of storages and fault-tolerant applications to improve data access performance, decrease space overhead, and reduce energy consumption is becoming a key problem for storage systems. In this paper, we first introduce the definition of approximate storage technology and show the techniques for identifying the approximate areas in the data. Then, we elaborate the approximate storage techniques for CPU cache, main memory, and secondary storage, respectively. We discuss the advantages and disadvantages of these approximate storage techniques along with the corresponding application scenarios. In the end of this paper, we summarize the features of approximate storage techniques and discuss the research directions of approximate storage techniques.