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).
This paper was supported in part by the National Science Council, Taiwan ROC, under grant numbers NSC 100-2218-E-029-004 and NSC 100-2622-E-029-008-CC3.
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Yang, CT., Shih, WC., Huang, CL. (2012). Implementation of a Distributed Data Storage System with Resource Monitoring on Cloud Computing. In: Li, R., Cao, J., Bourgeois, J. (eds) Advances in Grid and Pervasive Computing. GPC 2012. Lecture Notes in Computer Science, vol 7296. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-30767-6_6
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DOI: https://doi.org/10.1007/978-3-642-30767-6_6
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