Improving system and software deployment on a large-scale cloud data center

2013 ◽  
Author(s):  
Yu-Sheng Wu ◽  
Tong-Ying Juang ◽  
Yue-Shan Chang ◽  
Wei-Jen Wang ◽  
Jun-Ting Lu
Keyword(s):  
Data Center ◽  
Large Scale ◽  
Cloud Data Center ◽  
Cloud Data ◽  
Software Deployment

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.

scholarly journals Fast multi-resource allocation with patterns in large scale cloud data center

2018 ◽  
Vol 26 ◽  
pp. 389-401 ◽  
Author(s):  
Jiyuan Shi ◽  
Junzhou Luo ◽  
Fang Dong ◽  
Jiahui Jin ◽  
Jun Shen
Keyword(s):  
Resource Allocation ◽  
Data Center ◽  
Large Scale ◽  
Cloud Data Center ◽  
Cloud Data

scholarly journals Energy-efficient Scheduling of Cloud Data Center Servers

2019 ◽  
Vol 8 (11) ◽  
pp. 1769-1772
Keyword(s):  
Data Center ◽  
Large Scale ◽  
Data Centers ◽  
Large Data ◽  
Cost Effective ◽  
Energy Utilization ◽  
Operating Costs ◽  
Cloud Data Center ◽  
Cloud Data ◽  
Computing Services

Data center is a cost-effective infrastructure to store large data volumes and host large-scale service applications. Providers of cloud computing services are deploying data centers worldwide quickly. With lots of servers and switches. These data centers consume substantial quantities of energy, which contributes to high operating costs. Optimizing server and network energy consumption in information centers can therefore decrease operating costs. In a data center, power utilization is chiefly because of servers, network devices, and cooling systems, an effective energy-saving strategy is to consolidate computing and communication into fewer servers and network devices and then power off as many unneeded servers and network devices as possible. A new method of reducing the energy utilization of computer systems and networks in data centers while meeting the requirements of the cloud tenants for quality of service (QoS) is proposed here in this paper.

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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