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A Study of Data Storage for E –Learning in Cloud Computing
Author(s) -
Nikunj Raval
Publication year - 2021
Publication title -
international journal of advanced research in science, communication and technology
Language(s) - English
Resource type - Journals
ISSN - 2581-9429
DOI - 10.48175/ijarsct-v2-i3-306
Subject(s) - cloud computing , computer science , server , cloud computing security , single chip cloud computer , ibm , hypervisor , data center , cloud testing , virtual machine , world wide web , service (business) , operating system , computer security , virtualization , materials science , economy , economics , nanotechnology
Cloud computing provides on demand services to its clients. Data storage is among one of the primary services provided by cloud computing. Cloud service provider hosts the data of data owner on their server and user can access their data from these servers. As data, owners and servers are different identities, the paradigm of data storage brings up many security challenges. An independent mechanism is required to make sure that data is correctly hosted in to the cloud storage server. In this paper, we will discuss the different techniques that are used for secure data storage on cloud. PC based research facilities are an essential part of the e-learning condition. With the presentation of Cloud Computing innovations an ever increasing number of labs move into the cloud, known as virtual labs. While there are numerous advantages for utilizing virtual labs, there is likewise an expansion unpredictability in regards to the use of them. There are numerous cloud administration frameworks (Cloud MS) which include an additional layer of multifaceted nature to the e-taking in encounter both from the point of view of the educator and of the understudy. The reason for the investigation is to recognize approaches to enhance the learning procedure using distributed computing advances, while lessening the unpredictability related with these advances the principle center is about the asking for, creation, arrangement, observing and administration of virtual labs utilizing Cloud Computing. IBM Tivoli Service Automation Manager and VMware Hypervisor are utilized for building a private cloud.

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