International Journal of Computing, Programming and Database Management

P-ISSN: 2707-6636, E-ISSN: 2707-6644
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2022, Vol. 3, Issue 2, Part A

An assessment of text from library system (Social networks) using cloud computing

Author(s): Affum Quaye Mark

This paper discusses security and availability-related challenges in cloud computing environments. The paper also takes a closer look at the shared security responsibilities that exist between consumer and provider. Finally, the paper investigates high availability concerns and demonstrates how to help improve the resilience of your virtual servers in a cloud computing environment.
The abstract also:
a)Records the time it takes to access file document text in some selected social networks (twitter, Facebook and Hi5)
b)Looks at certain features that affects the accessibility time of the files.
c)What affect the download time when a computer is places a distance away from a selected microwave of a particular telecommunication network.
d)Takes into consideration different bandwidth and their effect on download time of selected files text using a particular telecommunication network.
e)Finally considers three different computers with different specifications such as the processors, operation systems, memory allocation, the size of its screen and environment and the time it takes for each computer to access a particular file (text) from the cloud (twitter, Facebook and Hi5).
The researchers also want to find out why these stated features above contribute to the download and file accessibly of cloud users. The results from simulations will be analyzed and compared with each other. based on the differences in the results, it will aid the researcher to deduce why some file download faster that other s and why some telecommunication networks are faster that other, why new and high specification computers and smart phones are faster than others and finally why browsing closer to some telecommunication network’s microwave station enable faster download speed than browsing a distance far away.

DOI: 10.33545/27076636.2022.v3.i2a.60

Pages: 20-24 | Views: 196 | Downloads: 54

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How to cite this article:
Affum Quaye Mark. An assessment of text from library system (Social networks) using cloud computing. Int J Comput Programming Database Manage 2022;3(2):20-24. DOI: 10.33545/27076636.2022.v3.i2a.60
International Journal of Computing, Programming and Database Management
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