Answer To: Annotated Bibliography Value: 25% Due date: 26-Apr-2018 Return date: 17-May-2018 Length: 2000 words...
Shikha answered on Apr 26 2020
Annotated Bibliography
Singh, D. & Reddy, C.K. (2015). A survey on platforms for big data analytics. Journal of Big Data, 2014, Volume 2, Number 1, Page 1. Retrieved from - https://link.springer.com/article/10.1186%2Fs40537-014-0008-6#citeas
The main objective of this article is to give better analysis of various platforms that are accessible for performing big data analysis. This article overviews distinctive hardware platforms that are accessible for big information analysis and also surveys the advantages as well as disadvantages of all platforms in view of different measurements like versatility, information I/O rate, fault tolerance, its processing, data size that is upheld as well as iterative support. By analyzing above article, we will get important insights that can be helpful in numerous pragmatic as well as its research innovations. The other imperative direction of research would be to pick the correct platform for specific application. In light of the particular application requirements, one can customize some platforms particular factors like the capacity of hard disk, its memory as well as the speed that is required to run the application. This analysis is an initial step to break down the adequacy of the stages and particularly the main strength is to take care of real applications.
Win, T., Y. & Tianfield, H. (2018). Big Data Based Security Analytics for Protecting Virtualized Infrastructures in Cloud Computing. IEEE Transactions on Big Data Volume: 4, Issue: 1, March 1 2018. Retrieved from - https://ieeexplore.ieee.org/document/7949076/authors
This article mainly focusses on virtualized infrastructure. Virtualized infrastructure in distributed computing has turned into an alluring focus for cyber attackers to dispatch propelled assaults. This paper mainly analyze the security approach of big information in order to deal with various propelled assaults in virtualized frameworks. System logs and in addition client application logs gathered occasionally from the guest virtual machines (VMs) that are stored in the Hadoop Distributed File System (HDFS). I have chosen this article because extraction of assault highlights is implemented via using graph-based event relationship as well as MapReduce parser based recognizable identification of potential assault strategies. Next, assurance of assault presence is performed by using two-advance machine learning, in particular strategic relapse is connected to compute assault's contingent probabilities regarding the properties, and conviction proliferation is connected to ascertain the faith in presence of an assault in view of them. Tests are led to assess the proposed approach by utilizing well-known malware and in addition in analysis with security procedures that are existing for virtualized infrastructure. The outcomes show that the proposed approach of the writer is powerful in recognizing assaults with negligible performance overhead.
Bhosale, H., S. & Prof. Gadekar, D., P. (2014). A Review Paper on Big Data and Hadoop. International Journal of Scientific and Research Publications, Volume 4, Issue 10, October 2014 1 ISSN 2250-3153. Retrieved from - http://www.ijsrp.org/research-paper-1014/ijsrp-p34125.pdf
In this paper, author discussed about Hadoop platform. This article depicts Big Data idea alongside 3 Vs, Volume, Velocity as well as assortment of Big Data. The paper mainly focusses around Big Data processing issues. These specialized challenges need to be tended to for effective as well as quick processing of huge Information. The main challenges incorporate not only the undeniable issues of scale, but rather additionally heterogeneity, absence of structure, error handling, security, timelines, provenance, and perception, at all phases of the analysis pipeline from information obtaining to come about translation. These specialized issues are main over a huge assortment of utilization areas, and also its very cost effective to address with regards to one domain alone. The paper depicts Hadoop which is considered as open source programming and is utilized for processing of Big Data. Hadoop is the main platform in order to organize Huge Data and to help with issue of making it valuable for analyzing it.
Raghupathi, W. & Raghupathi, V. (2014). Big data analytics in healthcare: promise and potential. Raghupathi and Raghupathi Health Information Science and Systems 2014, 2:3. Retrieved from - https://www.biomedcentral.com/track/pdf/10.1186/2047-2501-2-3?site=hissjournal.biomedcentral.com
The paper portrays the beginning field of enormous information analysis in medicinal...