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Need for Developing Intelligent Interfaces for Big Data Analytics in the Microfinance Industry Read chapter Read first chapter

2018 | OriginalPaper | Chapter

Cloud-Based Big Data Analytics—A Survey of Current Research and Future Directions

Authors : Samiya Khan, Kashish Ara Shakil, Mansaf Alam

Published in: Big Data Analytics

Publisher: Springer Singapore

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Abstract

The advent of the digital age has led to a rise in different types of data with every passing day. In fact, it is expected that half of the total data will be on the cloud by 2016. This data is complex and needs to be stored, processed, and analyzed for information that can be used by organizations. Cloud computing provides an apt platform for big data analytics in view of the storage and computing requirements of the latter. This makes cloud-based analytics a viable research field. However, several issues need to be addressed and risks need to be mitigated before practical applications of this synergistic model can be popularly used. This paper explores the existing research, challenges, open issues, and future research direction for this field of study.

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Literature
1.
Chen, H., Chiang, R.H.L., Storey, V.C.: Business intelligence and analytics: from big data to big impact. Bus. Intell. Res., MIS Quarterly. Special Issue (2012)
2.
3.
Chen, C.L.P., Zhang, C.Y.: Data-intensive applications, challenges, techniques and technologies: a survey on Big Data. Inf. Sci. 275, 314–347 (2014)CrossRef
4.
O’Driscoll, A., Daugelaite, J., Sleator, R.D.: ‘Big data’, hadoop and cloud computing in genomics. J. Biomed. Inform. 46(5), 774–781 (2013)CrossRefMATH
5.
Manekar, A., Pradeepini, G.: A review on cloud-based big data analytics. ICSES J. Comput. Netw. Commun. (IJCNC) 1(1) (2015)
6.
Assuncao, M.D., Calheiros, R.N., Bianchi, S., Netto, M.A.S.: Big data computing and clouds: trends and future directions. J. Parallel Distrib. Comput. 79–80, 3–15 (2015)
7.
8.
9.
Agarwal, D., Das, S., Abbadi, A.: Big data and cloud computing: current state and future opportunities. ACM 978-1-4503-0528-0/11/0003 (2011)
10.
11.
Shakil, K.A., Sethi, S., Alam, M.: An effective framework for managing university data using a cloud based environment. In: 2nd International Conference on Computing for Sustainable Global Development (INDIACom), vols. 1262, 1266, pp. 11–13 (2015)
12.
Wu, X., Kumar, V., Quinlan, J.R., Ghosh, J., Yang, Q., Motoda, H., McLachlan, G.J., Ng, A., Liu, B., Yu, P.S., Zhou, Z.H., Steinbach, M., Hand, D.J., Steinberg, D.: Top 10 algorithms in data mining. Knowl Inf. Syst. 14:1–37
13.
Alam, M., Shakil, K.A.: Cloud database management system architecture. UACEE Int. J. Comput. Sci. Appl. 3(1), 27–31 (2013)CrossRef
14.
15.
Jackson, J.C., Vijayakumar, V., Quadir, M.A., Bharathi, C.: Survey on programming models and environments for cluster, cloud and grid computing that defends big data. In: 2nd International Symposium on Big Data and Cloud Computing (ISBCC’15), pp. 517–523 (2015)
16.
Neaga, I., Hao, Y.: A holistic analysis of cloud based big data mining. Int. J. Knowl. Innov. Entrepreneurship. 2(2), 56–64 (2014)
17.
Lee, K.H., Lee, Y.J., Choi, H., Chung, Y.D., Moon, B.: Parallel data processing with MapReduce: a survey. SIGMOD Rec. 40(4), 11–20 (2011)CrossRef
18.
Herodotou, H., Lim, H., Luo, G., Borisov, N., Dong, L., Cetin, F.B., Babu, S.: Starfish: a self-tuning system for big data analytics. In: Proceedings of the 5th Biennial Conference on Innovative Data Systems Research (CIDR 2011), pp. 261–272 (2011)
19.
Borthakur, D., Gray, J., Sarma, J.S., Muthukkaruppan, K., Spiegelberg, N., Kuang, H., Ranganathan, K., Molkov, D., Menon, A., Rash, S., Schmidt, R., Aiyer, A.: Apache Hadoop goes real-time at Facebook. In: Proceedings of the ACM SIGMOD International Conference on Management of Data, ACM, New York, USA, pp. 1071–1080 (2011)
20.
21.
Khan, I., Naqvi, S.K. Alam, M. Rizvi, S.N.A.: Data model for Big Data in cloud environment. In: 2nd International Conference on Computing for Sustainable Global Development (INDIACom), pp. 582–585 (2015)
22.
Ortiz, J.L.R., Oneto, L., Anguita, D.: Big data analytics in the cloud: spark on hadoop vs MPI/OpenMP on Beowulf. P2015 INNS Conference on Big Data, vol. 53, 121–130 (2015)
23.
Baker, T., Al-Dawsari, B., Tawfik, H., Reid, D., Nyogo, Y.: GreeDi: an energy efficient routing algorithm for big data on cloud. Ad Hoc Netw. 000, 1–14 (2015)
24.
Li, X., Calheiros, R.N., Lu, S., Wang, L., Palit, H., Zheng, Q., Buyya, R.: Design and development of an adaptive workflow-enabled spatial-temporal analytics framework. In: Proceedings of the IEEE 18th International Conference on Parallel and Distributed Systems (ICPADS 2012), pp. 862–867. IEEE Computer Society, Singapore (2012)
25.
Calheiros, R.N., Vecchiola, C., Karunamoorthy, D., Buyya, R.: The Aneka platform and QoS-driven resource provisioning for elastic applications on hybrid Clouds. Fut. Gener. Comput. Syst. 28(6), 861–870 (2012)CrossRef
26.
Kim, H., Abdelbaky, M., Parashar, M.: CometPortal: a portal for online risk analytics using CometCloud. In: 17th International Conference on Computer Theory and Applications (ICCTA2009) (2009)
27.
Chen, Q., Hsu, M., Zeller, H.: Experience in continuous analytics as a service (CaaaS). In: Proceedings of the 14th International Conference on Extending Database Technology, ACM, New York, USA, pp. 509–514 (2011)
28.
Demirkan, H., Delen, D.: Leveraging the capabilities of service-oriented decision support systems: putting analytics and big data in cloud. Decis. Support Syst. 55, 412–421 (2013)CrossRef
29.
30.
31.
32.
33.
34.
Liu, C., Yang, C., Zhang, X., Chen, J.: External integrity verification for outsourced big data in cloud and IoT: a big picture. Futu. Gener. Comput. Syst. 49, 58–67 (2015)CrossRef
35.
Zhao, J., Wang, L., Tao, J., Chen, J., Sun, W., Ranjan, R., Kołodziej, J., Streit, A., Georgakopoulos, D.: A security framework in G-Hadoop for big data computing across distributed cloud data centers. J. Comput. Syst. Sci. 80, 994–1007 (2014)CrossRefMATH
36.
37.
Elragal, A.: ERP and big data: the inept couple. Procedia Technol. 16, 242–249 (2014)CrossRef
38.
Hashem, I.A.T., Yaqoob, I., Anuar, N.B., Mokhtar, S., Gani, A., Khan, S.U.: The rise of “big data” on cloud computing: review and open research issues. Inf. Syst. 47, 98–115 (2015)CrossRef
Metadata
Title
Cloud-Based Big Data Analytics—A Survey of Current Research and Future Directions
Authors
Samiya Khan
Kashish Ara Shakil
Mansaf Alam
Copyright Year
2018
Publisher
Springer Singapore
Book
Big Data Analytics

Print ISBN: 978-981-10-6619-1

Electronic ISBN: 978-981-10-6620-7

Copyright Year: 2018

DOI
https://doi.org/10.1007/978-981-10-6620-7_57

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