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ICSES Interdisciplinary Transactions on Cloud Computing, IoT, and Big Data
Vol. 3, No. 3, Sep. 2019


Private Cloud Data Storage Using Raspberry Pi

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a University of Baghdad, Baghdad, Iraq

 

Highlights and Novelties
1- This design gives the freedom to use storage space and savings through strong system control.

2- This design gives the freedom to use storage space and savings through strong system control.

3- The design also aims to provide reliable cloud services for personal use and make them a long-term, cost-effective, personal cloud storage product.

 

Manuscript Abstract
Building cloud computing environment using a low-cost systems based on the Raspberry Pi is very effective for use as a storage system in libraries and classrooms in schools and universities in developing countries where money is always an impediment. Weaved is used for remote access to set up Raspberry Pi from any device such as a smartphone. Numerous services are configured on the weave to control such as: SSH, HTTP, and VNC. Admin alone has access to private Cloud account. The administrator can provide various services to users through Weaved. This paper presents the results of an experimental preparation of low-cost computing environment using Raspberry Pi 3 (Model B) and design analysis, in addition to a literature review of Raspberry Pi and a methodology applied. Our design will provide you with free data storage according to the requirements. In addition, to giving the freedom to use space and savings with strong control over the system.

 

Keywords
 Low-Cost Computing   Cloud Computing   Raspberry Pi 3 Model B   Data Storage 

 

Copyright and Licence
© Copyright was transferred to International Computer Science and Engineering Society (ICSES) by all the Authors. This manuscript is published in Open-Access manner based on the copyright licence of Creative Commons Attribution Non Commercial 4.0 International (CC BY-NC 4.0).

 

Cite this manuscript as
Heba Fadhil, "Private Cloud Data Storage Using Raspberry Pi," ICSES Interdisciplinary Transactions on Cloud Computing, IoT, and Big Data, vol. 3, no. 3, pp. 1-5, Sep. 2019.

 

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Manuscript ID: 297
Pages: 1-5
Submitted: 2019-08-06
Revised: 2019-08-07
Accepted: 2019-08-30
Published: 2019-09-30


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Journal's Title
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Journal

ICSES Interdisciplinary Transactions on Cloud Computing, IoT, and Big Data
ISSN: 2717-0047

ISSN: 2717-0047
Frequency: Quarterly
Accessability: Online - Open Access
Founded in: Jul. 2017
Publisher: ICSES
DOI Suffix: 10.31424/icses.iitcib