Precision Analysis of Noncircular Gears Based on CNC Machining Technology under Cloud Computing Platform by JianQing Dai, Wei Xu, FenFen OuYang

“…The architecture of the system is deeply analyzed, focusing on the dynamic integration method of gear cloud measurement system resources based on cloud platform, building a gear cloud measurement system based on cloud computing platform, and testing needs to use Hadoop to install the software that needs to be prepared: virtual machine version, VMware Workstation-14.0.0 build-6661328, Linux version. …”
Get full text

Data Analysis Method of Intelligent Analysis Platform for Big Data of Film and Television by Youwen Ma, Yi Wan

“…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. …”
Get full text

Supporting Efficient Family Joins for Big Data Tables via Multiple Freedom Family Index by Qiang Zhu, Chao Zhu

“…The Hadoop/MapReduce framework has been widely utilized for processing big data. …”
Get full text

Key Technology of Internet of Things Middleware and Computer Event Matching Algorithm by Laicun Li, Rulin Bai

“…In order to solve the problem of complex event pattern in big data and strengthen research on key technologies of the Internet of Things and computer time matching algorithms, this paper studies the problem based on Hadoop clustering algorithm. Firstly, based on the subtype attribute of event type, the maximum value is selected as the final attribute value of the event after weighting the event. …”
Get full text

Pengukuran Performa Apache Spark dengan Library H2O Menggunakan Benchmark Hibench Berbasis Cloud Computing by Aminudin Aminudin, Eko Budi Cahyono

“…Apache Spark mempunyai kelebihan dibandingkan dengan framework lain yang serupa misalnya Apache Hadoop dll, di mana Apache Spark mampu memproses data secara streaming artinya data yang masuk ke dalam lingkungan Apache Spark dapat langsung diproses tanpa menunggu data lain terkumpul. …”
Get full text

Risk Intelligence: Making Profit from Uncertainty in Data Processing System by Si Zheng, Xiangke Liao, Xiaodong Liu

“…We implement the idea in Hadoop 0.21.0 systems and the experimental results show that, compared with the traditional LATE algorithm, the response time can be improved by 46% with the same system throughput.…”
Get full text

Research on the Effect of DPSO in Team Selection Optimization under the Background of Big Data by Qian Zhao, Lian-ying Zhang

“…Taking strategic equilibrium matching and dynamic gain as association constraints and maximizing revenue as the optimization goal, the Hadoop enterprise information management platform is constructed to discover the external environment, organizational culture, and strategic objectives of the enterprise and to discover the potential of the customer. …”
Get full text

Safety Autonomous Platform for Data-Driven Risk Management Based on an On-Site AI Engine in the Electric Power Industry by Dongyeop Lee, Daesik Lim, Joonwon Lee

“…We practically implemented the proposed SAP architecture using the Hadoop ecosystem and verified its feasibility through a performance evaluation of the on-site AI engine and real-time operation of risk assessment and alarm notification for data-driven risk management.…”
Get full text

Home Appliance Management System for Monitoring Digitized Devices Using Cloud Computing Technology in Ubiquitous Sensor Network Environment by Yun Cui, Myoungjin Kim, Yi Gu, Jong-jin Jung, Hanku Lee

“…It also provides a function for transmitting the metadata from the home appliances to a cloud-based data server that uses Hadoop-based technology to store and process the metadata collected by a home appliance monitoring service.…”
Get full text

Intelligent Data Processing and Optimization of University Logistics Combined with Block Chain Storage Algorithm by Li Li

“…The traditional Hadoop-based logistic data processing platform of universities cannot fully collect and control remote data in the process of data processing and has defects such as poor efficiency, high error, and difficult query. …”
Get full text

Research on Network Resource Collection and Distribution Strategies in Big Data-Driven Multimedia Teaching by Jianping Han

“…Aiming at the performance defects of the open source computing framework Hadoop, this paper intends to establish a new computing model. …”
Get full text

Exploiting Sharing Join Opportunities in Big Data Multiquery Optimization with Flink by Xiao-Yan Gao, Radhya Sahal, Gui-Xiu Chen, Mohammed H. Khafagy, Fatma A. Omara

“…Also, the proposed J-MOTH system introduces maximal intermediate data size reduction by 30% in average over Hadoop-like infrastructures.…”
Get full text

High-Performance Computational Early Warning Analysis of Agricultural Economy Relying on Binary Fuzzy Cluster Analysis Algorithm by Fang Tang

“…Its functional structure includes management business, innovation business, service business, production business, and operation business functions, in addition to the design of the collection and storage scheme based on Hadoop data warehouse, to achieve accurate matching of information of science and technology agricultural services in the whole agricultural industry chain. …”
Get full text

Analysis of the Impact of Big Data on E-Commerce in Cloud Computing Environment by Rongrui Yu, Chunqiong Wu, Bingwen Yan, Baoqin Yu, Xiukao Zhou, Yanliang Yu, Na Chen

“…Secondly, considering the large amount of data in the e-commerce system and the complex calculation of the data mining algorithm, this paper uses MapReduce to realize the parallelization of the data mining algorithm and builds a Hadoop-based commodity recommendation subsystem on this basis. …”
Get full text

High Performance Frequent Subgraph Mining on Transaction Datasets: A Survey and Performance Comparison by Bismita S. Jena, Cynthia Khan, Rajshekhar Sunderraman

“…Later, Google’s MapReduce model with the Hadoop framework proved to be a major breakthrough in high performance large batch processing. …”
Get full text

Application of Big Data Technology to Assessments of Female Ovarian Reserve Dysfunction by Xia Ji'An, Ma YunFei, Wu YiYun, Zhao YouLin, Ni HaoRang, Liu XinYan

“…Patients were divided into normal ovarian reserve function (n = 68), early-stage DOR (n = 66), mid-stage DOR (n = 12), and late-stage DOR (n = 16) groups. Hadoop and Spark frameworks were used to build a big data platform, and the MLlib parallel machine learning library was used to implement three multivariate classification models—multilayer perceptron, one-vs-rest, and random forest classifiers—to classify and analyse the ovarian reserve function dataset and evaluate the platform’s performance. …”
Get full text

Editorial by Christian Gütl

“…In a collaboration between researchers from Algeria and Tunesia, Soraya Setti Ahmed, Yahya Slimani and Riadh Frefita report their research on a fault tolerance model for the Hadoop Distributed System. In a collaboration between researchers form Spain and Ireland, Francisco Dominguez-Mateos, Vincent O’Brien, James Garland, Ryan Furlong, and Daniel Palacios-Alonso present their research on zero-shot learning for sub-discrimination in pre-trained models to differentiate several attributes such as gender, age, and skin tone, without any additional training.Enjoy Reading!…”
Get full text