Cloud Computing in Big Data Management: An Overview Report

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This report provides a comprehensive overview of cloud computing in big data management. It begins by defining big data and its characteristics, highlighting the importance of cloud computing in handling the volume, velocity, and variety of data generated daily. The report then delves into the advantages of cloud computing, particularly its role in enhancing data security through private cloud architecture and advanced encryption, improving data storage capabilities via scalability and fault tolerance, and promoting energy efficiency through optimized hardware and virtual network topologies. The discussion also addresses the drawbacks, including security concerns related to third-party service providers, limitations in cloud storage bandwidth, and the need for further improvements in energy efficiency. The report concludes by emphasizing the unmatched capabilities of cloud computing for big data management and its potential for continued growth and development in the coming years.
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Running head: CLOUD COMPUTING IN BIG DATA MANGEMENT
CLOUD COMPUTING IN BIG DATA MANGEMENT
Name of the student:
Name of the university:
Author note:
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CLOUD COMPUTING IN BIG DATA MANGEMENT
Executive summary:
The aim of the report is to provide a brief overview of the cloud computing in big data
management. The report presents the importance of cloud computing along with the drawbacks
associated with the technology. The report particularly focuses on the use of cloud services in
storage , security and energy efficiency when dealing with big data technology. Additionally,
some techniques to overcome the drawbacks has also been discussed.
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CLOUD COMPUTING IN BIG DATA MANGEMENT
Table of Contents
Introduction:....................................................................................................................................3
Discussion:.......................................................................................................................................3
Cloud computing and security of big data:..................................................................................4
Cloud computing and more data storage:....................................................................................4
Energy efficiency and cloud computing:.....................................................................................5
Drawback of cloud security:........................................................................................................6
Drawback of cloud storage:.........................................................................................................6
Drawback of energy efficiency technique using cloud computing:............................................7
Conclusion:......................................................................................................................................7
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Introduction:
Big data can be classified as a large set of data that is high in volume, velocity and
variety . volume refers to high amount of data, velocity defines the speed of incoming and
outgoing data and variety means range of data sources from where data is coming. Data can be in
structured, semi-structured or in raw format (De Mauro , Greco & Grimaldi , 2015).
Approximately about 2.5 quintillion byte of data is generated on a daily basis from
various digital sources which contributes to the 90 percent of the world data generated till date
(Daas et al . , 2015). According to the article, popular social media site Facebook make use of
big data to process 50 billion photos from the user database daily and Wal-Mart handles more
than 1 million data related to customer transactions every hour which is equivalent to 2.5
petabytes of data.
Cloud computing is the most prefered technology adopted by various industries for big data
management. It is not only capable of processing large amount of data both in structured and
unstructured form, it also make data base more secure and efficient which is one of the major
factors for the popularity of the technology in the recent market (Hasem et al . , 2015)
Discussion:
Cloud computing refers to outsourcing of computer resources over the internet to the
users whenever they requires it (Fehling et al . , 2014).
Three advantages of cloud computing is discussed bellow along with the drawbacks.
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Cloud computing and security of big data:
With big amount of data comes even bigger challenge to make that information secured and
intact. Cloud computing has an important role to play in this context (Rittinghouse , W &
Ransome , 2016).
Cloud architecture provides the facility of private cloud and private clouds are specifically
developed for enterprise applications. These clouds are meant to be used by organizations
separately and the platform does not use physical resources on a shared basis. The resources can
be distributed internally or externally on demand (Wei et al . , 2014). One of the major
advantages of private cloud is that the database is secured using multiple level of security layer.
It protects the data from malicious attack by restricting shared resources to access protected and
private organizational information (Fehling et al., 2014). Cloud providers have gone one step
further to achieve more security by ensuring that the hardware that is used for the services is
completely dedicated to the organizational use and any attempt to temper with the resources is
completely restricted (Pulier , Martinez & Hill , 2015). The virtual private network that is used
for the cloud services is fully encrypted with advance encryption technology that takes the
security of the system to top level as specified in the article.
Cloud computing and more data storage:
Big data is so large in terms of volume, velocity and variety that it can be stored using traditional
computer storage systems. To store the large amount of data that is generated everyday it needs
special storage services. To store and process such huge amount of data that comes in million
and billion of terabytes , it requires scalability, ability to tolerate fault and availability of the
storage system. Cloud computing provides all these facility by the use of hardware visualization
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CLOUD COMPUTING IN BIG DATA MANGEMENT
(Yu et al . , 2017). Cloud computing makes big data available, scalable and at the same time fault
tolerant (Elazhary, 2014).
One of the biggest challenges that organizations encounter is that they need to create backup of
data and schedule the backup process in such a way that their day to day activities does not get
affected. To create backup a large amount of storage is needed. With cloud storage the process
become automatic and they need to care less about the capacity of the storage as the cloud comes
with literally an unlimited amount of storage (Mehr et al., 2015). The storage is definitely not
similar to traditional physical storage; it is a virtual storage service that is managed by large
physical data servers located remotely (Chawla, Molloy & Hormuth, 2016).
Energy efficiency and cloud computing:
With the constant rise in demand for advanced computation, that involves large amount of
storage and complex infrastructure, enterprises are facing issues increased energy and power
consumption that in turn increase the cost of the production ( Mastelic et al., 2015).
To reduce energy consumption, cloud providers use hardwares that are energy efficient which
reduce the power consumption at data center as well as virtual machine level (Kaur & Chana ,
2015).
When cloud platform is used for data storage activities such as Amazon Simple Storage which
can be used to store document, video files, it is relatively more power efficient than traditional
storage systems that demands a lot of power to operate (Li et al., 2016).
Energy optimization is achieved by effective combination of virtual network topologies. Thermal
status of computer hardwares are checked on a regular basis to ensure optimum services to the
end users (Fiandrino et al., 2017 ).
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Drawback of cloud security:
With cloud services, organizations are storing sensitive and valuable data remotely and third
party service providers manage those data (Avram, 2014). The author suggests that before
adopting the cloud technology, organizations should consider that the data that is stored in cloud
is not always secured and the security depends on the quality of service provider . It is always
important to chose a reliable service provider like Amazon , Microsoft , IBM with Amazon
being the current market leader in terms of customer base and service quality. It should be noted
that cloud computing is powered by internet and as internet is not completely secure there is
always a possibility of data theft as specified by the article.
Drawback of cloud storage:
Cloud storage offers a lot of benefits for data storage in terms of accessibility, scalability and
speed of operation. Still there are few drawbacks that organizations should consider before
investing in the budding technology that has created a lot of buzz in the industry within a very
short time since the adoption (Yang & Lin , 2015).
According to the article, cloud storage comes in various forms in terms of service quality and
storage capacity. It also mentions that the capacity of the storage depends on the bandwidth
allowance, which is again determined by the pricing of the service. The more premium the
service is, higher the bandwidth available for the storage. The pricing of the service varies
depending on the service provider one chose for the business. Once the allowed bandwidth is
suppressed, users have to pay a handsome amount for further use as per the information provided
by the authors.
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CLOUD COMPUTING IN BIG DATA MANGEMENT
Drawback of energy efficiency technique using cloud computing:
Cloud computing provide ways to make computing infrastructure power efficient yet the
technology needs improvement. Cloud applications are conveyed in remote data centers (DCs)
where servers with high capacity and storage systems are found (Almorsy , Grundy & Muiler ,
2016). A speedy advancement of enthusiasm for cloud based organizations comes to fruition into
establishment of enormous server ranches eating up high measure of electrical power. Powerful
model is required for complete establishment to decrease helpful costs while keeping up vital
Quality of Service (QoS) as suggested by the article.
Conclusion:
Even though cloud computing has some drawbacks in terms of security, capacity and cost
effectiveness, based on the report it can be concluded that the benefits that cloud computing
offers is undoubtedly makes it one of the highly demanding technology in the digital market. It
has revolutionized the way traditional computing systems used to operate. The technology ,
being relatively new has a lot areas where significant improvement is needed but the capability
of cloud computing for big data management is unmatched. Based on the current scenario it
will not be unfair to say that the demand for the service will continue to grow in the coming
years to use big data in more effective way.
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References:
Almorsy, M., Grundy, J., & Müller, I. (2016). An analysis of the cloud computing energy
effeciency problem. arXiv preprint arXiv:1609.01107.
Avram, M. G. (2014). Advantages and challenges of adopting cloud computing from an
enterprise perspective. Procedia Technology, 12, 529-534.
Daas, P. J., Puts, M. J., Buelens, B., & van den Hurk, P. A. (2015). Big data as a source for
official statistics. Journal of Official Statistics, 31(2), 249.
De Mauro, A., Greco, M., & Grimaldi, M. (2015, February). What is big data? A consensual
definition and a review of key research topics. In AIP conference proceedings (Vol. 1644,
No. 1, pp. 97-104). AIP.
Elazhary, H. (2014). Cloud computing for big data. MAGNT Res Rep, 2(4), 135-144.
Fehling, C., Leymann, F., Retter, R., Schupeck, W., & Arbitter, P. (2014). Cloud computing
patterns: fundamentals to design, build, and manage cloud applications. Springer
Science & Business Media.
Fiandrino, C., Kliazovich, D., Bouvry, P., & Zomaya, A. Y. (2017). Performance and energy
efficiency metrics for communication systems of cloud computing data centers. IEEE
Transactions on Cloud Computing, 5(4), 738-750.
Hashem, I. A. T., Yaqoob, I., Anuar, N. B., Mokhtar, S., Gani, A., & Khan, S. U. (2015). The
rise of “big data” on cloud computing: Review and open research issues. Information
Systems, 47, 98-115.
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Kaur, T., & Chana, I. (2015). Energy efficiency techniques in cloud computing: A survey and
taxonomy. ACM Computing Surveys (CSUR), 48(2), 22.
Li, Z., Dai, Y., Chen, G., & Liu, Y. (2016). Toward network-level efficiency for cloud storage
services. In Content Distribution for Mobile Internet: A Cloud-based Approach(pp. 167-
196). Springer Singapore.
Mastelic, T., Oleksiak, A., Claussen, H., Brandic, I., Pierson, J. M., & Vasilakos, A. V. (2015).
Cloud computing: Survey on energy efficiency. Acm computing surveys (csur), 47(2), 33.
Mehr, J. D., Murphy, E. E., Virk, N., & Sosnosky, L. M. (2015). U.S. Patent No. 8,935,366.
Washington, DC: U.S. Patent and Trademark Office.
Pulier, E., Martinez, F., & Hill, D. C. (2015). U.S. Patent No. 8,931,038. Washington, DC: U.S.
Patent and Trademark Office.
Rittinghouse, J. W., & Ransome, J. F. (2016). Cloud computing: implementation, management,
and security. CRC press.
Wei, L., Zhu, H., Cao, Z., Dong, X., Jia, W., Chen, Y., & Vasilakos, A. V. (2014). Security and
privacy for storage and computation in cloud computing. Information Sciences, 258, 371-
386.
Yang, H. L., & Lin, S. L. (2015). User continuance intention to use cloud storage
service. Computers in Human Behavior, 52, 219-232.
Yu, Y., Au, M. H., Ateniese, G., Huang, X., Susilo, W., Dai, Y., & Min, G. (2017). Identity-
based remote data integrity checking with perfect data privacy preserving for cloud
storage. IEEE Transactions on Information Forensics and Security, 12(4), 767-778.
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