scholarly journals Data Analysis Method of Intelligent Analysis Platform for Big Data of Film and Television

Complexity ◽  
2021 ◽  
Vol 2021 ◽  
pp. 1-10
Author(s):  
Youwen Ma ◽  
Yi Wan
Keyword(s):  
Cloud Computing ◽  
Big Data ◽  
Association Analysis ◽  
Programming Model ◽  
Analysis Method ◽  
Television Industry ◽  
Film And Television ◽  
Box Office ◽  
The Impact ◽  
Audience Rating

Based on cloud computing and statistics theory, this paper proposes a reasonable analysis method for big data of film and television. The method selects Hadoop open source cloud platform as the basis, combines the MapReduce distributed programming model and HDFS distributed file storage system and other key cloud computing technologies. In order to cope with different data processing needs of film and television industry, association analysis, cluster analysis, factor analysis, and K-mean + association analysis algorithm training model were applied to model, process, and analyze the full data of film and TV series. According to the film type, producer, production region, investment, box office, audience rating, network score, audience group, and other factors, the film and television data in recent years are analyzed and studied. Based on the study of the impact of each attribute of film and television drama on film box office and TV audience rating, it is committed to the prediction of film and television industry and constantly verifies and improves the algorithm model.

scholarly journals Comprehend the Performance of MapReduce Programming model for K-Means algorithm on Hadoop Cluster

2019 ◽  
Vol 8 (9) ◽  
pp. 1600-1603
Keyword(s):  
Big Data ◽  
Programming Model ◽  
Primary Memory ◽  
Model Based ◽  
Considerable Research ◽  
Memory Size ◽  
Input Size ◽  
Mapreduce Model ◽  
Hadoop Cluster ◽  
The Impact

MapReduce is a programming model used for processing Big Data. There are had been considerable research in improvement of performance of MapReduce model. This paper examines performance of MapReduce model based on K Means algorithm inside the Hadoop cluster. Different input size had been taken on various configurations to discover the impact of CPU cores and primary memory size. Results of this evaluation had been shown that the number of cores had maximum impact of the performance of MapReduce model.

scholarly journals Analyzation and Comparison of Cloud Computing and Data Mining Techniques: Big Data and Impact of Blockchain

2021 ◽  
Vol 9 (11) ◽  
pp. 712-721
Author(s):  
Adarsh Bhandari
Keyword(s):  
Cloud Computing ◽  
Big Data ◽  
Data Analytics ◽  
Scale Up ◽  
Big Data Analytics ◽  
Multiple Sources ◽  
Huge Data ◽  
Amazon Web Services ◽  
Tools And Techniques ◽  
The Impact

Abstract: With the rapid escalation of data driven solutions, companies are integrating huge data from multiple sources in order to gain fruitful results. To handle this tremendous volume of data we need cloud based architecture to store and manage this data. Cloud computing has emerged as a significant infrastructure that promises to reduce the need for maintaining costly computing facilities by organizations and scale up the products. Even today heavy applications are deployed on cloud and managed specially at AWS eliminating the need for error prone manual operations. This paper demonstrates about certain cloud computing tools and techniques present to handle big data and processes involved while extracting this data till model deployment and also distinction among their usage. It will also demonstrate, how big data analytics and cloud computing will change methods that will later drive the industry. Additionally, a study is presented later in the paper about management of blockchain generated big data on cloud and making analytical decision. Furthermore, the impact of blockchain in cloud computing and big data analytics has been employed in this paper. Keywords: Cloud Computing, Big Data, Amazon Web Services (AWS), Google Cloud Platform (GCP), SaaS, PaaS, IaaS.

scholarly journals Construction of Live Broadcast Training Platform Based on “Cloud Computing” and “Big Data” and “Wireless Communication Technology”

2021 ◽  
Vol 2021 ◽  
pp. 1-9
Author(s):  
Zhidong Sun ◽  
Xueqing Li
Keyword(s):  
Cloud Computing ◽  
Big Data ◽  
Wireless Communication ◽  
Communication Technology ◽  
Security Policy ◽  
High Efficiency ◽  
Rapid Development ◽  
Science And Technology ◽  
Live Broadcast ◽  
The Impact

With the rapid development of information technology, a scientific theory is brought by the rapid progress of science and technology. The advancement of science and technology of the impact on every field, changing the mode of transmission of information, the advent of big data for promotion and dissemination of resources played their part, let more and more people benefit. In the context of cloud computing, big data ushered in another upsurge of development and growth. Given this, the live broadcast training platform, which focuses on enterprise staff training and network education, arises at the right moment. People favor its convenience, real-time performance, and high efficiency. However, the low-value density of big data and cloud computing’s security problem has difficulties constructing a live broadcast training platform. In this paper, the live broadcast training platform’s structure is improved by constructing three modules: the live training module based on cloud computing, the user recommendation module based on big data, and the security policy guarantee module. In addition, to ensure that the trainees can receive training anytime and anywhere, this paper uses wireless communication technology to ensure the quality and speed of all users’ live video sources.

scholarly journals Performance Evaluation of Hadoop in Cloud for Big Data

2018 ◽  
Vol 7 (4.15) ◽  
pp. 16
Author(s):  
Mohammed Fakherldin ◽  
Ibrahim Aaker Targio Hashem ◽  
Abdullah Alzuabi ◽  
Faiz Alotaibi
Keyword(s):  
Cloud Computing ◽  
Big Data ◽  
Virtual Machines ◽  
File Systems ◽  
Research Direction ◽  
Distributed File Systems ◽  
Hadoop Mapreduce ◽  
Recent Trends ◽  
New Research ◽  
The Impact

Recent trends in big data have shown that the amount of data continues to increase at an exponential rate. This trend has inspired many researchers over the past few years to explore new research direction of studies related to multiple areas in big data. Hadoop is one of the most popular platforms for big data, thus, Hadoop MapReduce is used to store data in Hadoop distributed file systems. While, cloud computing is considered an excellent candidate for storing and processing the big data. However, processing big data across multiple nodes is a challenging task. The problem is even more complex using virtualized clusters in a cloud computing to execute a large number of tasks. This paper provides a review and analysis of the impact of using physical versus cloud cluster in the processing a large amount of data. This analysis has an impact on the processing in terms of execution time and cost of using each one of them. The result indicates that the use of cloud virtual machines helped better utilize the resources of the host computer. 

scholarly journals The Construction of WTO Framework for the Development of My Country’s Information Technology Sports Industry Based on Big Data

2021 ◽  
Vol 292 ◽  
pp. 03039
Author(s):  
Li Yuezhong ◽  
Liu Yichong
Keyword(s):  
Information Technology ◽  
Big Data ◽  
Culture Industry ◽  
Television Industry ◽  
Development Status ◽  
Sports Industry ◽  
Sports Culture ◽  
Film And Television ◽  
Economic Level ◽  
Traditional Sports

With the improvement of China’s economic level and the level of science and technology, people’s demand for sports products and services is greatly increasing, and China’s sports industry is showing a trend of diversified development. This article discusses the characteristics and connotations of the traditional sports industry and the characteristics of the sports industry in the era of big data, and then points out the challenges faced by the sports industry under the WTO framework and makes relevant recommendations. This paper also investigates the development status of the sports culture industry in our city through experiments, and the results show that the sports culture industry in our city involves 12 categories, of which sports film and television industry accounts for only 14.3%.

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