High Availability Storage System Based on Two-Level Metadata Management

2007 ◽  
Author(s):  
Fang Wang ◽  
Yinliang Yue ◽  
Dan Feng ◽  
Juang Wang ◽  
Peng Xia
Keyword(s):  
Storage System ◽  
High Availability ◽  
Metadata Management

scholarly journals Multi-level Metadata Management Scheme for Cloud Storage System

2014 ◽  
Vol 9 (1) ◽  
pp. 231-240
Author(s):  
Jin San Kong ◽  
Min Ja Kim ◽  
Wan Yeon Lee ◽  
Chuck Yoo ◽  
Young Woong Ko
Keyword(s):  
Cloud Storage ◽  
Storage System ◽  
Metadata Management ◽  
Management Scheme ◽  
Multi Level

The research and design for a high availability object storage system

2008 ◽  
Author(s):  
Ling Zhan ◽  
Zhihu Tan ◽  
Peng Gu ◽  
Jiguang Wan
Keyword(s):  
Storage System ◽  
High Availability ◽  
Object Storage ◽  
Research And Design

scholarly journals Distributed Metadata Management of Mass Storage System in High Energy Physics

2017 ◽  
Vol 898 ◽  
pp. 062003
Author(s):  
Qiulan Huang ◽  
Ran Du ◽  
YaoDong Cheng ◽  
Jingyan Shi ◽  
Gang Chen ◽  
...  
Keyword(s):  
High Energy Physics ◽  
Storage System ◽  
High Energy ◽  
Metadata Management ◽  
Mass Storage ◽  
Mass Storage System ◽  
Energy Physics

scholarly journals Energy Efficient Metadata Management for Cloud Storage System

2015 ◽  
Vol 11 (9) ◽  
pp. 626575
Author(s):  
Young Woong Ko ◽  
Sun-Jeong Kim ◽  
Jin Kim ◽  
Eui-Jik Kim ◽  
Jung Min So
Keyword(s):  
Energy Efficient ◽  
Cloud Storage ◽  
Storage System ◽  
Metadata Management

The Multi-Level Metadata Indexing in Mass Storage System

2012 ◽  
Vol 532-533 ◽  
pp. 818-822
Author(s):  
De Jiao Niu ◽  
Yong Zhao Zhan ◽  
Tao Cai
Keyword(s):  
Hash Function ◽  
Storage System ◽  
Bloom Filter ◽  
Metadata Management ◽  
Mass Storage ◽  
Mass Storage System ◽  
Multi Level ◽  
Temporal And Spatial ◽  
Query Algorithm ◽  
Management Algorithms

Metadata query plays an important role in mass storage system. Efficient indexing algorithm can reduce the time and space which greatly determine the efficiency of mass storage system. Typically, temporal and spatial consuming is immense and volatile in the existing metadata management algorithms. In this paper, a novel metadata indexing algorithm is presented. Metadata query algorithm is based on two-level indexing strategy. The metadata is classified into two categories, that are active metadata and non-active metadata. The Bloom Filter is used to generate binary string for active metadata, and the B-tree is used to establish index of each active partition. While, the suitable hash function is selected for each non-active metadata partition. The results show that the multi-level metadata indexing algorithm can reduce the temporal and spatial costs of metadata query.

A novel clustered MongoDB-based storage system for unstructured data with high availability

Computing ◽  
2013 ◽  
Vol 96 (6) ◽  
pp. 455-478 ◽  
Author(s):  
Wenbin Jiang ◽  
Lei Zhang ◽  
Xiaofei Liao ◽  
Hai Jin ◽  
Yaqiong Peng
Keyword(s):  
Storage System ◽  
High Availability ◽  
Unstructured Data
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