Web-based collaborative big data analytics on big data as a service platform

Park, Kyounghyun; Nguyen, Minh Chau; Won, Heesun

doi:10.1109/icact.2015.7224859

Cited by 46 publications

(16 citation statements)

References 3 publications

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“…The output data are substantially containing information. Such information is the data that are accurate and timely: specific and organized for a purpose; these data are presented in a form that gives it meaning and relevance and can lead to an increase in understanding and decrease uncertainty in SG (Park et al, 2015). Transferring output data into clear and readable information is the last step before decision-making.…”

Section: Discussionmentioning

confidence: 99%

A Review on Big Data Management and Decision-Making in Smart Grid

Mohamed

Refaat

Abu‐Rub

2019

Power Electronics and Drives

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Smart grid (SG) is the solution to solve existing problems of energy security from generation to utilization. Examples of such problems are disruptions in the electric grid and disturbances in the transmission. SG is a premium source of Big Data. The data should be processed to reveal hidden patterns and secret correlations to extrapolate the needed values. Such useful information obtained by the so-called data analytics is an essential element for energy management and control decision towards improving energy security, efficiency, and decreasing costs of energy use. For that reason, different techniques have been developed to process Big Data. This paper presents an overview of these techniques and discusses their advantages and challenges. The contribution of this paper is building a recommender system using different techniques to overcome the most obstacles encountering the Big Data processes in SG. The proposed system achieves the goals of the future SG by (i) analyzing data and executing values as accurately as possible, (ii) helping in decision-making to improve the efficiency of the grid, (iii) reducing cost and time, (iv) managing operating parameters, (v) allowing predicting and preventing equipment failures, and (vi) increasing customer satisfaction. Big Data process enables benefits that were never achieved for the SG application.

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Section: Discussionmentioning

confidence: 99%

A Review on Big Data Management and Decision-Making in Smart Grid

Mohamed

Refaat

Abu‐Rub

2019

Power Electronics and Drives

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“…Up to this point, the basic scenes of Big Data have not been brought together. Moreover, Big Data can't be prepared utilizing existing innovations and strategies [8] .Therefore the age of boundless information by the fields of science, business, and society is a worldwide issue. As for information examination, for example, systems and standard apparatuses have not been intended to look and dissect extensive datasets [9].…”

Section: Big Data: Background and Architecturementioning

confidence: 99%

“…Future research bearings in this field are resolved in light of chances and a few open issues in Big Data control. This gatherings the basic issues in Big Data into three classifications in view of the shared characteristic of the test [12].…”

Section: Big Data: Background and Architecturementioning

confidence: 99%

“…Effectively, most associations were not capable either catch or store these data, and available instruments couldn't manage the data in a sensible measure of time. In any case, the new Big Data development improves execution, energizes headway in the things and organizations of plans of activity, and gives essential administration support [8,48]. Tremendous Data development hopes to restrain gear and taking care of expenses and to check the estimation of Big Data beforehand giving basic association resources.…”

Section: Big Data Managementmentioning

confidence: 99%

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Research Analysis of Big Data and Cloud Computing with Emerging Impact of Testing

Bathla¹,

Suseendran²,

Shallu³

2018

IJET

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Big Data has increased much focus from the scholastic world and the IT business. In the advanced and figuring world, all together is created and gathered at a rate that quickly surpasses the limit go. Right now, more than 2 billion individuals worldwide are associated with the Internet, and more than 5 billion people possess cell phones. By 2020, 50 billion gadgets are relied upon to be associated with the Internet. Now, anticipated information creation will be 44 times more prominent than that in 2009. As data is exchanged a nd shared at light speed on optic fiber and remote systems, the volume of information and the speed of market development increment. In any case, the quick development rate of such substantial information creates various difficulties, for example, the fast development of information, exchange speed, different information, and security. In any case, Big Data is still in its outset arrange, and the space has not been checked on all in all. Distributed computing has opened up new open doors for testing offices. New innovation and social network patterns are making an ideal tempest of chance, empowering cloud to change inside tasks, Customer connections and industry esteem chains. To guarantee high caliber of cloud applications being worked on, designer must perform testing to analyze the quality and exactness whatever they plan. In this examination paper, we address a testing natural engineering with important key advantages, to perform execution of experiments and utilized testing strategies to improve nature of cloud applications.

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“…For solving the above problems, we have developed a flat management platform supporting interchanged information self-owned and self-analysis, based on mobile internet (Yu, et al 2014) and big data (Park, et al 2015) technologies. In order to enhance the platform's pertinence and practicability, we consider the real needs from Chengde section management office of Zhangcheng expressway.…”

Section: Introductionmentioning

confidence: 99%

A Flat Management Platform based on Mobile Internet and Big Data

Liu¹,

Li²,

Qi³

et al. 2019

Proceedings of the 3rd International Conference on Mechatronics Engineering and Information Technology (ICMEIT 2019)

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In hierarchical management systems, the information interaction problems often appear such as transmission delay, ununified understanding of important matters and distortion of the original intention. At present, many people are used to using Wechat and QQ to exchange daily work information. However, this may lead to the following problems: 1) in group discussions, the problem of multi-topic cross-cutting occurs, leading to confusion of discussion clues and divergence of the content of important topics; 2) relevant information and data cannot be independently saved and analyzed by the unit, which is helpful in mining guiding rules conducive to improving the business level of the unit; 3) important business information of the unit is leaked on the social platform. This article develops a flat management platform consists of a dedicated data acquisition front-end and a data analysis back-end relying on mobile Internet technology and big data technology, respectively. The platform has been used by Chengde section management office of Zhangcheng expressway for over two years, and its effectiveness and practicability has been proved.

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Web-based collaborative big data analytics on big data as a service platform

Cited by 46 publications

References 3 publications

A Review on Big Data Management and Decision-Making in Smart Grid

A Review on Big Data Management and Decision-Making in Smart Grid

Research Analysis of Big Data and Cloud Computing with Emerging Impact of Testing

A Flat Management Platform based on Mobile Internet and Big Data

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