Application of Big Data Analytics via Cloud Computing

Yetis, Yunus; Sara, Ruthvik Goud; Erol, Berat A.; Kaplan, Halid; Akuzum, Abdurrahman; Jamshidi, Mo

doi:10.1109/wac.2016.7582986

Cited by 7 publications

(3 citation statements)

References 16 publications

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“…Data can be imported from the cloud and users are able to run cloud data analytics algorithms on big datasets, after which data can be stored back to the cloud [181]. For instance, in [182], the authors used cloud computing using MapReduce algorithm to conduct analysis on crime rates in the city of Austin using different attributes like crime type and location to help build a design that prevents future crimes for public safety.…”

Section: Cloud-based Big Data Analyticsmentioning

confidence: 99%

Big Data Meet Cyber-Physical Systems: A Panoramic Survey

et al. 2018

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The world is witnessing an unprecedented growth of cyber-physical systems (CPS), which are foreseen to revolutionize our world via creating new services and applications in a variety of sectors such as environmental monitoring, mobilehealth systems, intelligent transportation systems and so on. The information and communication technology (ICT) sector is experiencing a significant growth in data traffic, driven by the widespread usage of smartphones, tablets and video streaming, along with the significant growth of sensors deployments that are anticipated in the near future. It is expected to outstandingly increase the growth rate of raw sensed data. In this paper, we present the CPS taxonomy via providing a broad overview of data collection, storage, access, processing and analysis. Compared with other survey papers, this is the first panoramic survey on big data for CPS, where our objective is to provide a panoramic summary of different CPS aspects. Furthermore, CPS require cybersecurity to protect them against malicious attacks and unauthorized intrusion, which become a challenge with the enormous amount of data that is continuously being generated in the network. Thus, we also provide an overview of the different security solutions proposed for CPS big data storage, access and analytics. We also discuss big data meeting green challenges in the contexts of CPS.

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Section: Cloud-based Big Data Analyticsmentioning

confidence: 99%

Big Data Meet Cyber-Physical Systems: A Panoramic Survey

et al. 2018

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“…Therefore, cloud computing is the basic technology support of large data, and large data is the development direction of cloud computing. In particular, the value mining of the data can meet the analysis of the report application, and can also benefit directly from the results [1][2][3]. For example, data analysis can be divided according to the click effect of the system, and transaction data can help them analyze the market and facilitate personalized advertising recommendation.…”

Section: Introductionmentioning

confidence: 99%

Technology and Application of Large Data Analysis Based on Cloud Computing

Liu¹,

Zhang²

2018

Proceedings of the 2018 3rd International Workshop on Materials Engineering and Computer Sciences (IWMECS 2018)

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With the rapid development of modern technology, massive data have been generated, such as micro-blog's message, video data, cell phone terminal, commodity label and so on, which generate a lot of data. Human beings enter the era of big data explosion, that is, the era of big data. The big data age is closely related to cloud computing, Internet of things, and the Internet. In the era of big data, how to complete massive data processing and analyze data in a short time, accurately grasp the potential needs of the target user group, analyze and predict it efficiently, so as to enhance the information technology level of the whole society is very necessary. Cloud computing is the most efficient method for data processing, processing data, improving processing efficiency, and sharing resources.

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“…To illustrate, sensors which users generate from their respective network items, social network, data generated from the use of social media. Cloud computing with its keys values namely innovation, opportunities, efficiency, saving, accessibility and flexibility [10] is used for processing with low cost. Then, cloud computing has been adopted to cope with the increasing data with low computational cost and a minimized cost [1].…”

Section: Introductionmentioning

confidence: 99%