Social media based digital file size estimation method using sampling technique with \alpha control chart in big data
Publish Year: 1403
نوع سند: مقاله ژورنالی
زبان: English
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شناسه ملی سند علمی:
JR_IJNAA-15-9_029
تاریخ نمایه سازی: 29 خرداد 1403
Abstract:
Due to the emergence of social networking platforms, a large number of users around the world are being part and partial of this platform. At a fraction of the time users on social media are communicating digital files in the form of text, video, images, voice and music which ultimately generates big data. The matter of interest is to estimate precisely the average file size at time duration (occasion). The time may hours or days or months. This paper presents a sample-based methodology to deal with mean size estimation of digital communication content spreading on a social media platform. An estimator is suggested using a random sample from big data and its properties are derived. A simulation method is suggested that computes the confidence interval (CI) for the prediction of précised range of digital file size. The proposed method produces an optimal confidence interval at the suitable choice of constant. These estimated confidence intervals can be used for developing \alpha-control charts for constant monitoring of the growth in file size in social media storage at the data centre. If the growth of mean digital file size crosses the upper limit then additional storage infrastructure is needed at the administration level of the social media site. One can generate machine learning algorithms proposed method for monitoring the growth of average digital file size over time duration.
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Authors
Abdul Alim
Department of Computer Science and Applications, Dr. Harisingh Gour Vishwavidyalaya (M.P.), India
Diwakar Shukla
Department of Mathematics and Statistics, Dr. Harisingh Gour Vishwavidyalaya (M.P.), India
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