Cloud Computing: Amazon S3 Service Analysis and Performance Report

This report focuses on Amazon Web Services (AWS), specifically detailing the Amazon S3 service. It explains AWS as a remote computing platform offered by Amazon.com, emphasizing Amazon S3 as a key service for storing large amounts of online data. The report outlines the operational structure of Amazon S3, highlighting its cost-effectiveness, scalability, and reliability, with an uptime guarantee. It also discusses the service's geographical data centers and the use of the same infrastructure as Amazon.com. The report includes a price comparison and discusses the advantages of using Amazon S3 for web designers and companies, along with notable users like Smug Mug, Netflix, and Dropbox. The report also includes references to relevant research papers.

Running head: CLOUD COMPUTING
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Name of the Student
Name of the University
Author Note

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AMAZON WEB SERVICE:
AMAZON S3:
The purpose of this paper is to discuss on Amazon Web Service and further will be
discussed about Amazon S3. AWS can be explained as collection of computers kept remotely
which together forms platform of cloud computing. This service is offered over the internet
by Amazon.com. One of well-known service of AWS is Amazon S3 (Persico, Montieri &
Pescapè, 2016). There are many more services of AWS. By Amazon S3, it helps to store huge
amount of online data. This is the service which is provided by Amazon.com. The paper will
provide a clear structure and working procedure of Amazon S3.
Amazon S3 allows the web designers in storing of huge amount of online data. It is free in
joining S3 while needs a payment during the service. The cost only includes the hosting cost
and the bandwidth cost. As this is the service provided in a very low cost thus attracts various
new arising companies (Newcombe et al., 2015). This is a very attractive service for various
web designers around the world, provided by Amazon as it is reliable, fast and even fully
scalable. SZ3 is provided by Amazon as hosting system which is dependent on the
geographical location that offers the datacentres in United States and in Europe. Amazon S3
uses the same infrastructure for storage purpose as used by Amazon.com for the purpose of
running the e-commerce network globally (Gupta et al., 2015). Gradually after the evolution
of Amazon S3 the price for the service of S3 have gradually reduced. There is an AaaS
example which explains the changing of price for the service of S3.

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Figure: Price list
In case of using the S3 no limit is there for the storage amount and even no limit for the
amount of bandwidth, which defines that this is fully scalable as per the need of the users.
The service of S3 is reliable and even the uptime of the server is 99.99%. This is the claim
that is offered by the Amazon, thus backed up by an agreement of service level (Nawaz et al.,
2016). In any case if the guaranteed service is dropped a service credit is entitled to the user.
In case of hosting the server of the user’s website there is an allowance to reduce the strain by
using Amazon S3. In case of larger files including the files of videos and files of audios
creates a huge amount of traffic which puts strain on the user server. Due to this case
sometimes, it is knocked out as well. The host outsourcing for large files of the users of
Amazon S3 which refers that the users can always optimise the servers to host their websites.
This leads the users to be free from anything else which are controlled by Amazon itself.
Some of the notable users who use the service of Amazon S3 are discussed below:
 Smug Mug which is a hosting service of photo uses the Amazon S3.
 In case of record system Netflix also use Amazon S3.
 Amazon S3 is also hosted on reedit.

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 Dropbox, Tahoe-Leafs and Bit case are also on S3.
 Mojang is also uses Amazon S3.

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References:
Gupta, A., Agarwal, D., Tan, D., Kulesza, J., Pathak, R., Stefani, S., & Srinivasan, V. (2015,
May). Amazon redshift and the case for simpler data warehouses. In Proceedings of
the 2015 ACM SIGMOD international conference on management of data (pp. 1917-
1923). ACM.
Nawaz, H., Juve, G., Da Silva, R. F., & Deelman, E. (2016, May). Performance analysis of an
i/o-intensive workflow executing on google cloud and amazon web services. In 2016
IEEE International Parallel and Distributed Processing Symposium Workshops
(IPDPSW) (pp. 535-544). IEEE.
Newcombe, C., Rath, T., Zhang, F., Munteanu, B., Brooker, M., & Deardeuff, M. (2015).
How Amazon web services uses formal methods. Communications of the ACM, 58(4),
66-73.
Persico, V., Montieri, A., & Pescapè, A. (2016, October). On the network performance of
amazon S3 cloud-storage service. In 2016 5th IEEE International Conference on
Cloud Networking (Cloudnet) (pp. 113-118). IEEE.