Cloud Storage Virtualization Technology and its Architecture

2015 ◽  
Vol 713-715 ◽  
pp. 2435-2439 ◽  
Author(s):  
Yuan Yuan Hu ◽  
Lu Wang ◽  
Xiao Dong Zhang

Based on cloud computing and cloud storage, this paper discussed three kinds of typical virtualization technology in cloud computing, that is, storage virtualization based on host or server, storage virtualization based on storage devices, and storage virtualization based on Storage Area Network (SAN). In addition, application value of storage virtualization technology was discussed. What’s more, platform architecture model of cloud storage was proposed, and the characteristics of cloud backup were discussed as an example.

Author(s):  
Sarmad K. Ibrahim ◽  
Saif A. Abdulhussien

<span>Storage Area Network (SAN) could be a dedicated storage network which carries the info between servers and storage devices. SAN offers flexibility to implement and share data between servers and remote devices instead of the traditional method that reduced the performance of service. This paper improves SAN backup method to increase the CPU utilization and reduce the load on the link; the result shows that the improved method is better than of traditional in terms of response time in FTP about 36% while the traffic data is about 3%.</span>


2021 ◽  
Vol 23 (06) ◽  
pp. 238-245
Author(s):  
Varsha Kulkarni ◽  
◽  
Dr. Nagaraj Bhat ◽  

A data center has hundreds of servers and storage devices running on virtual machines that can be deployed and migrated over servers as per the requirement. If each server uses local storage, migration of this storage and restoration is mandatory. An attempt to organize and track storage throughout the data center is quite tedious. Using a dedicated storage system like a storage array, it possible to collectively monitor and manage such a network. A storage area network is essentially a network dedicated to storage devices. A storage area network can interconnect devices in all its layers, therefore improving storage availability. Interconnecting all elements in SAN also reduces the chances of a single point of failure. Using the storage devices collectively improves their utilization. SAN offers to manage and maintain all devices in the network. Although SAN is beneficial, it has drawbacks when configuring, monitoring, and managing components in a large-scale network. This paper consolidates the problems associated with SAN and offers possible solutions to overcome them.


2019 ◽  
pp. 25-30
Author(s):  
Vadim Shevtsov ◽  
Evgeny Abramov

Today, Storage Area Network and Cloud Storage are the common Storage System. Storage Area Network includes NAS, SAN, DAS systems. Cloud Storage includes object storage, file storage, block storage. Storage Area Network is an important technology because it may give a lot of data volume with a high recovery chance and secure access, work and central management with data. Cloud Storage has many advantages: data mobility, teamwork, stability, scalability, quick start. The main threats include destruction, theft, corruption, unauthentication, replacement, blocking. Storage Area Network components (architecture elements, protocols, interfaces, hardware, system software, exploitation) have a lot of vulnerabilities. Cloud Storage may be attacked by software, functional elements, clients, hypervisor, management systems. A lot of companies design storage solutions: DropBox, QNAP, WD, DELL, SEAGATE.


2014 ◽  
Vol 519-520 ◽  
pp. 450-457
Author(s):  
Yan Zhang ◽  
Zhao Jing Wang ◽  
Xue Bing Dai ◽  
Zhi Qiang Wei ◽  
Mei Ling Li

The comprehensive analysis of Qingdao Development of e-government is presented in this paper. E-government is to resolve the current construction of the "resource sharing" and "business disaster" problem.By using the structure of the two three-center model for Qingdao,an e-government platform is built for cloud computing resources. Information resources for e-government integration provides a unified cloud environment, and the use of cloud storage virtualization technology to solve more than 120 kilometers of remote data synchronization and application-level redundant disaster problems, combined with the "Hong Jin e-office systems business". The testing and construction practice has proved the feasibility of the model.


Author(s):  
Chao-Yang Wang ◽  
Feng Zhou ◽  
Yao-Long Zhu ◽  
Chong Tow Chong ◽  
Bo Hou ◽  
...  

2008 ◽  
Vol 30 (3) ◽  
pp. 251-264
Author(s):  
T. Brothers ◽  
N. Mandagere ◽  
S. Muknahallipatna ◽  
J.C. Hamann ◽  
H. Johnson

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