Implementation of a distributed data storage system with resource monitoring on cloud computing

Authors:
Chao-Tung Yang;Wen-Chung Shih;Chih-Lin Huang
Affiliations:
Department of Computer Science, Tunghai University, Taichung, Taiwan ROC;Department of Applied Informatics and Multimedia, Asia University, Taichung, Taiwan ROC;Department of Computer Science, Tunghai University, Taichung, Taiwan ROC
Venue:
GPC'12 Proceedings of the 7th international conference on Advances in Grid and Pervasive Computing
Year:
2012

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Abstract

This paper focuses on cloud computing infrastructure, and especially data services. The goal of this paper is to implement a high performance and load balancing, and able-to-be-replicated system that provides data storage for private cloud users through a virtualization system. The DaaS extends the functionality of the Hadoop distributed system (HDFS). The proposed approach also implements a resource monitor of machine status factors such as CPU, memory, and network usage to help optimize the virtualization system and data storage system. To prove and extend the usability of this design, a synchronize app was also developed running on Android based on our distributed data storage (DDS).