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A Study on Cloud Computing Quality of Service for Big Data: Contribution to Computation

by Gibet Tani Hicham, El Amrani Chaker
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 182 - Number 40
Year of Publication: 2019
Authors: Gibet Tani Hicham, El Amrani Chaker
10.5120/ijca2019918482

Gibet Tani Hicham, El Amrani Chaker . A Study on Cloud Computing Quality of Service for Big Data: Contribution to Computation. International Journal of Computer Applications. 182, 40 ( Feb 2019), 31-38. DOI=10.5120/ijca2019918482

@article{ 10.5120/ijca2019918482,
author = { Gibet Tani Hicham, El Amrani Chaker },
title = { A Study on Cloud Computing Quality of Service for Big Data: Contribution to Computation },
journal = { International Journal of Computer Applications },
issue_date = { Feb 2019 },
volume = { 182 },
number = { 40 },
month = { Feb },
year = { 2019 },
issn = { 0975-8887 },
pages = { 31-38 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume182/number40/30359-2019918482/ },
doi = { 10.5120/ijca2019918482 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-07T01:13:53.224058+05:30
%A Gibet Tani Hicham
%A El Amrani Chaker
%T A Study on Cloud Computing Quality of Service for Big Data: Contribution to Computation
%J International Journal of Computer Applications
%@ 0975-8887
%V 182
%N 40
%P 31-38
%D 2019
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Big data is one of the major pioneering technologies of our time. Big data is not only used to refer to the recent massive data growth in various sectors but also to describe a new computing model capable of managing efficiently and accurately the new generation of data sets whatever their volumes, types or characteristics. Running big data inside an organization can be a challenging mission as a consequence to the required infrastructure implementation and management higher cost. From this perspective, cloud computing radiates as a strong candidate to host and manage big data workloads efficiently and at a reduced price. On the one hand, cloud computing is a robust Information Technology solution acclaimed with it extensive computing abilities. On the other hand, moving big data to the cloud can be very complex due to Quality of Service criteria defined between the provider and the end-user. On this context, cloud computing platforms need to be re-evaluated and re-examined to offer a resilient foundation for big data storage and processing. Furthermore, cloud computing QoS stipulations has to be defined, weighed and mapped rationally to big data characteristics in order to highlight the most significant parts that requires specific consideration or optimization in pursuance of a cloud computing service dedicated for big data or big data as a service.

References
  1. S. A. El-Seoud, H. F. El-Sofany, M. Abdelfattah, R. Mohamed, “Big data and cloud computing: trends and challenges, International Journal of Interactive Mobile Technologies, Vol 11, No 2, 2017.
  2. J. Changqing, Y. Li, W. Qiu, U. Awada, K. Li. “Big data processing in cloud computing environments”. In proceedings of International Symposium on Pervasive Systems, Algorithms and Networks, I-SPAN 2012.
  3. H. Venkatesh, D. P. Shrivatsa, J. Nivedita, “A study on use of big data in cloud computing environment”. International Journal of Computer Science and Information Technologies, Vol. 6, 2015.
  4. R. Kune, P. K. Konugurthi, A. Agarwal, R. R. Chillarige, R. Buyya. “The anatomy of big data computing”. Software Practice and Experience, Wiley Online Library. 9 October 2015.
  5. M. S. Al-Hakeem. “A proposed big data as a service (BDaaS) model”. International Journal of Computer Sciences and Engineering. Volume-4, Issue-11, 2016.
  6. P. C. Neves, B. Schmerl, J. Bernardino, J. Camara. “Big data in cloud computing: features and issues”. In Proceedings of the 2016 International Conference on Internet of Things and Big Data. 23-25 April 2016.
  7. G. Skourletopoulos, C. X. Mavromoustakis, G. Mastorakis, J. M. Batalla, C. Dobre, S. Panagiotakis, E. Pallis. “Big data and cloud computing: A survey of the state-of-the-art and research challenges”. Advances in Mobile Cloud Computing and Big Data in the 5G Era, Studies in Big Data 22, Springer International Publishing, 2017.
  8. N. Zanoon, A. Al-Haj, S. M. Khwaldeh. “Cloud computing and big data is there a relation between the two: A Study”. International Journal of Applied Engineering Research. Volume 12, 2017.
  9. C. Lakshmi, V. V. N. Kumar. “Survey Paper on Big Data”. International Journal of Advanced Research in Computer Science and Software Engineering. Vol. 6, Iss. 8, 2016.
  10. E. Nada, E. Ahmed. “Big data analytics: A literature review paper”. Springer International Publishing Switzerland. Lecture Notes in Computer Science, 2014.
  11. A. Anurag, R. Dharmaji Rao. “A review paper on big data: technologies, tools and trends”. International Research Journal of Engineering and Technology. Vol. 04, Iss. 10,2017.
  12. S. Singh, S. Pankaj, G. Rakhi, P. K. Mishra. “Big Data: Technologies, Trends and Applications”. International Journal of Computer Science and Information Technologies. Vol. 6 (5), 2015.
  13. Tom White. “Hadoop The Definitive Guide: Storage and Analysis at Internet Scale”. O’Reilly Media, 2015.
  14. N. Ameya, A. Poriya, D. Poojary. “Type of NOSQL databases and its comparison with relational databases”. International Journal of Applied Information Systems. Vol. 5, No.4, 2013.
  15. Dadapeer, N. M. Indravasan, G. Adarsh. “A Survey on security of NoSQL databases”. International Journal of Innovative Research in Computer and Communication Engineering. Vol. 4, Iss. 4, 2016.
  16. P. Singh, E. A. Jain. “Survey paper on cloud computing”. International Journal of Innovations in Engineering and Technology. Vol. 3, Iss. 4, 2014.
  17. P. Rajeswari, K. Jayashree. “Survey on QoS metrics and ranking in cloud services”. International Journal of Engineering & Technology. 7 (1.3), 2018.
  18. A. KH. Bardsiri, S. M. Hashemi. “QoS metrics for cloud computing services evaluation”. Intelligent Systems and Applications. 12, 27-33, 2014.
  19. Cisco Global Cloud Index: Forecast and Methodology, 2016–2021 (White Paper). February, 2018.
  20. Louis Columbus. “Cloud computing market projected to reach $411B by 2020”. Forbes, October, 2017.
  21. S. G. Kumar, V. Steve, B. Rajkumar. “SMICloud: A Framework for comparing and ranking cloud services”. In proceedings of Fourth IEEE International Conference on Utility and Cloud Computing, 2011.
  22. M. H. Ghahramani, M. Zhou, T. Hon. “Toward cloud computing QoS architecture: Analysis of cloud systems and cloud services”. IEEE/CAA Journal of Automatica Sinica, VOL. 4, NO. 1, 2017.
  23. R. Han, Z. Jia, W. Gao, X. Tian, L. Wang. “Benchmarking big data systems: state-of-the-art and future directions”. TECHNICAL REPORT. ICT, ACS. 2015.
  24. R. Han, X. Lu. “On big data benchmarking”. In proceedings of Workshop on Big Data Benchmarks, Performance Optimization, and Emerging Hardware. 2014.
  25. N. Sorensen, “Cisco industry benchmarks performance”.
  26. G. T. Hicham, E. A. Chaker, E. Lotfi. “The optimization of ompute resources scheduling in cloud computing environments using artificial neural networks”. Journal of Theoretical and Applied Information Technology, Vol.96. No 13, July 2018.
Index Terms

Computer Science
Information Sciences

Keywords

Big Data Cloud Computing Quality of Service Service Level Agreement Resources Scheduling.

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