High-Efficiency Remote Cloud Data Center Backup with Intelligent Parameter Adaptation

2014 ◽  
pp. 26-35
Author(s):  
Bao Rong Chang ◽  
Hsiu-Fen Tsai ◽  
Cin-Long Guo ◽  
Chia-Yen Chen ◽  
Chien-Feng Huang
Keyword(s):  
Data Center ◽  
High Efficiency ◽  
Cloud Data Center ◽  
Parameter Adaptation ◽  
Cloud Data

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

2015 ◽  
Vol 2015 ◽  
pp. 1-10 ◽  
Author(s):  
Bao Rong Chang ◽  
Hsiu-Fen Tsai ◽  
Chia-Yen Chen ◽  
Cin-Long Guo
Keyword(s):  
Data Center ◽  
Large Scale ◽  
High Efficiency ◽  
Stress Test ◽  
Cost Evaluation ◽  
Performance Ratio ◽  
Cloud Data Center ◽  
Cloud Data ◽  
High Efficient ◽  
High Flexibility

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.

Preference Based Resource Allocation In Cloud Data Center

2018 ◽  
Vol 6 (2) ◽  
pp. 287-292
Author(s):  
M.R. Dave ◽  
◽  
H.B. Patel ◽  
B. Shrimali ◽  
◽  
...  
Keyword(s):  
Resource Allocation ◽  
Data Center ◽  
Cloud Data Center ◽  
Cloud Data

A Game Theoretic Approach to Estimate Fair Cost of VM Placement in Cloud Data Center

2018 ◽  
Vol 12 (4) ◽  
pp. 3509-3518
Author(s):  
Sourav Kanti Addya ◽  
Ashok Kumar Turuk ◽  
Bibhudatta Sahoo ◽  
Anurag Satpathy ◽  
Mahasweta Sarkar
Keyword(s):  
Data Center ◽  
Theoretic Approach ◽  
Vm Placement ◽  
Cloud Data Center ◽  
Cloud Data ◽  
Game Theoretic ◽  
Game Theoretic Approach
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