ZTE Communications ›› 2012, Vol. 10 ›› Issue (4): 60-64.

• Research Paper • Previous Articles    

Design and Implementation of ZTE Object Storage System

Huabin Ruan1, Xiaomeng Huang2, and Yang Zhou3   

  1. 1. Department of Computer Science and Technology, Tsinghua University, Beijing 100084, China;
    2. Center of Earth System Science, Tsinghua University, Beijing 100084, China;
    3. Communication Services R&D Institute, ZTE Corporation, Nanjing 210012, China
  • Received:2012-08-20 Online:2012-12-25 Published:2012-12-25
  • About author:Huabin Ruan (ruanhuabin@gmail.com) is a PhD candidate in the Department of Computer Science and Technology, Tsinghua University, China. His research interests include acceleration of applications on multiply platforms such as CPU, GPU, FPGA. He has applied for patent on mass object storage architecture.

    Xiaomeng Huang (hxm@tsinghua.edu.cn) received his doctoral degree from Tsinghua University. He is an associate professor at the Center for Earth System Science, Tsinghua University, China. His research interests include Earth system model, mass data processing, and distributed computing. He has published 24 papers and holds more than 10 patents.

    Yang Zhou (zhou.yang1@zte.com.cn) received his master’s degree from Huazhong University of Science and Technology, China. He is a researcher at ZTE Corporation. His research interests include object storage, data compression, distribute computing. He holds more than 20 patents.

Abstract: This paper introduces the basic concepts and features of an object storage system. It also introduces some related standards, specifications, and implementations for several existing systems. ZTE’s Object Storage System (ZTE OSS) was designed by Tsinghua University and ZTE Corporation and is designed to manage large amounts of data. ZTE OSS has a scalable architecture, some open source components, and an efficient key-value database. ZTE OSS is easy to scale and highly reliable. Experiments show that ZTE OSS performs well with mass data and heavy

Key words: cloud storage, object storage