High Availability and High Scalability to in-Cloud Enterprise Resource Planning System

Chang, Bao Rong; Tsai, Hsiu Fen; Cheng, Ju-Chun; Tsai, Yun-Che

doi:10.1007/978-3-319-07773-4_1

Cited by 1 publication

(2 citation statements)

References 13 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…This section defines the costperformance ratio (C-P ratio) [8], CP , of each data center based on total cost of ownership, Cost , and performance index, PI , as shown in (6). Equation (6) is the formula for C-P ratio where SF 2 is the constant value of scale factor, and the aim is to quantify the C-P ratio within the interval of (0, 100] to observe the differences of each data center:…”

Section: Cost-performance Ratiomentioning

confidence: 99%

“…This paper will implement data center remote backup using two 2 Scientific Programming remarkable NoSQL databases and perform stress tests with a large scale of data, for instances, read, write, and remote data center backup. The experimental results of remote data center backup using HBase and Cassandra will show the assessment of their effectiveness and efficiency based on costperformance ratio [8].…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Empirical Analysis of High Efficient Remote Cloud Data Center Backup Using HBase and Cassandra

Chang

Tsai

Chen

et al. 2015

Scientific Programming

Self Cite

View full text Add to dashboard Cite

HBase, a master-slave framework, and Cassandra, a peer-to-peer (P2P) framework, are the two most commonly used large-scale distributed NoSQL databases, especially applicable to the cloud computing with high flexibility and scalability and the ease of big data processing. Regarding storage structure, different structure adopts distinct backup strategy to reduce the risks of data loss. This paper aims to realize high efficient remote cloud data center backup using HBase and Cassandra, and in order to verify the high efficiency backup they have applied Thrift Java for cloud data center to take a stress test by performing strictly data read/write and remote database backup in the large amounts of data. Finally, in terms of the effectiveness-cost evaluation to assess the remote datacenter backup, a cost-performance ratio has been evaluated for several benchmark databases and the proposed ones. As a result, the proposed HBase approach outperforms the other databases.

show abstract

Section: Cost-performance Ratiomentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%