Performance analysis and framework optimization of open source cloud storage system

2016 ◽  
Vol 13 (6) ◽  
pp. 110-122 ◽  
Author(s):  
Lei Li ◽  
Dagang Li ◽  
Zhiliang Su ◽  
Lianwen Jin ◽  
Ganbo Huang
2019 ◽  
Vol 10 (1) ◽  
pp. 1-29 ◽  
Author(s):  
Anindita Sarkar Mondal ◽  
Madhupa Sanyal ◽  
Samiran Chattapadhyay ◽  
Kartick Chandra Mondal

Big Data management is an interesting research challenge for all storage vendors. Since data can be structured or unstructured, hence variety of storage systems has been designed to meet storage requirement as per organization's demands. The article focuses on different kinds of storage systems, their architecture and implementations. The first portion of the article describes different examples of structured (PostgreSQL) and unstructured databases (MongoDB, OrientDB and Neo4j) along with data models and comparative performance analysis between them. The second portion of the paper focuses on cloud storage systems. As an example of cloud storage, Google Cloud Storage and mainly its implementation details have been discussed. The aim of the article is not to eulogize any particular storage system, but to clearly point out that every storage has a role to play in the industry. It depends on the enterprise to identify the requirements and deploy the storage systems.


2014 ◽  
Vol 644-650 ◽  
pp. 2981-2984 ◽  
Author(s):  
Zhi Ying Duan ◽  
Yi Zhen Cao

This paper describes the implementation of a fast and efficient method to build a cloud storage environment. In this method, we base on the OpenStack Object Storage (code-named swift), use Swauth as the authentication system, and build a S3-compatible cloud storage platform. Then do a second development of open source software Cyberduck and use it as the cloud storage Client.


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