Paper Info
Title
Implementation of a distributed data storage system with resource monitoring on cloud computing
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).
Year
DOI
Venue
2012
10.1007/978-3-642-30767-6_6
GPC
Keywords
Field
DocType
load balancing,data service,private cloud user,able-to-be-replicated system,cloud computing infrastructure,machine status factor,high performance,data storage system,virtualization system,data storage,resource monitoring,distributed data storage,daas,cloud computing,distributed file system
Virtualization,Distributed File System,Converged storage,Load balancing (computing),Computer science,Computer data storage,Distributed data store,Data as a service,Operating system,Distributed computing,Cloud computing
Conference
Citations 
PageRank 
References 
3
0.47
23
Authors
3
Name
Order
Citations
PageRank
Chao-Tung Yang11196139.50
Wen-Chung Shih221121.39
Chih-Lin Huang3494.17