scholarly journals Summary of Data Storage Technology in Cloud Storage Service

Author(s):  
Chunxia Tu ◽  
Zhongbing Yuan
2020 ◽  
Vol 245 ◽  
pp. 04011
Author(s):  
Ofer Rind ◽  
Hironori Ito ◽  
Guangwei Che ◽  
Tim Chou ◽  
Robert Hancock ◽  
...  

Large scientific data centers have recently begun providing a number of different types of data storage in order to satisfy the various needs of their users. Users with interactive accounts, for example, might want a POSIX interface for easy access to the data from their interactive machines. Grid computing sites, on the other hand, likely need to provide an X509-based storage protocol, like SRM and GridFTP, since the data management system is built upon them. Meanwhile, an experiment producing large amounts of data typically demands a service that provides archival storage for the safe keeping of their unique data. To access these various types of data, users must use specific sets of commands tailored to their respective storage, making access to their data complex and difficult. BNLBox is an attempt to provide a unified and easy to use storage service for all BNL users, to store their important documents, code and data. It is a cloud storage system with an intuitive web interface for novice users. It provides an automated synchronization feature that enables users to upload data to their cloud storage without manual intervention, freeing them to focus on analysis rather than data management software. It provides a POSIX interface for local interactive users, which simplifies data access from batch jobs as well. At the same time, it also provides users with a straightforward mechanism for archiving large data sets for later processing. The storage space can be used for both code and data within the compute job environment. This paper will describe various aspects of the BNLBox storage service.


Author(s):  
Neha Thakur ◽  
Aman Kumar Sharma

Cloud computing has been envisioned as the definite and concerning solution to the rising storage costs of IT Enterprises. There are many cloud computing initiatives from IT giants such as Google, Amazon, Microsoft, IBM. Integrity monitoring is essential in cloud storage for the same reasons that data integrity is critical for any data centre. Data integrity is defined as the accuracy and consistency of stored data, in absence of any alteration to the data between two updates of a file or record.  In order to ensure the integrity and availability of data in Cloud and enforce the quality of cloud storage service, efficient methods that enable on-demand data correctness verification on behalf of cloud users have to be designed. To overcome data integrity problem, many techniques are proposed under different systems and security models. This paper will focus on some of the integrity proving techniques in detail along with their advantages and disadvantages.


2016 ◽  
Vol 24 (2) ◽  
pp. 57-74 ◽  
Author(s):  
Chen-Shu Wang ◽  
Cheng-Yu Lai ◽  
Shiang-Lin Lin

In recent year, mobile devices have become an indispensable product in our daily life. Extensive amount of mobile applications (Apps) have been developed and used on these devices. Restated, in terms of the Apps future development and popularization, to understand why people have willingness to pay for use certain Apps has apparently became an important issue. However, there are various homogeneity Apps, which people can easily find some free succedaneum for use. Consequently, it would be an interesting issue to realize individual's intention to pay for use the Apps. In this study, the authors conducted a survey in Taiwan to realize individuals' willingness to pay for Cloud Storage Service (CSS), since CSS is one of the frequently adopted App for most mobile device users. The results show that both the perceived service quality and conformity positively affect the perceived value and then increases the user's willingness to pay indirectly. In addition, the findings also support that the users' product knowledge about CSS produce negative moderating effects on the perceived value and the willingness of pay.


2017 ◽  
pp. 197-219 ◽  
Author(s):  
Surya Nepal ◽  
Shiping Chen ◽  
Jinhui Yao

2019 ◽  
Vol 15 (4) ◽  
pp. 155014771984127 ◽  
Author(s):  
Gang Yu ◽  
Yongjuan Wang ◽  
Zhenfu Cao ◽  
Jian Lin ◽  
Xiangyu Wang

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