Graph Deep Active Learning Framework for Data Deduplication by Huan Cao, Shengdong Du, Jie Hu, Yan Yang, Shi-Jinn Horng, Tianrui Li

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Big Data Analytics for the ATLAS EventIndex Project with Apache Spark by Álvaro Fernández Casaní, Carlos García Montoro, Santiago González de la Hoz, José Salt, Javier Sánchez, Miguel Villaplana Pérez

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A GDPR-compliant solution for analysis of large-scale genomics datasets on HPC cloud infrastructure by Silvia Gioiosa, Beatrice Chiavarini, Mattia D’Antonio, Giuseppe Trotta, Balasubramanian Chandramouli, Juan Mata Naranjo, Giuseppa Muscianisi, Mirko Cestari, Elisa Rossi

“…To analyse such amount of data, centres that have access to High Performance Computing or extensive cloud resources have become crucial both for storage and efficient execution of data analysis pipelines. …”
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Big Data Related Patent Retrieval System Based on Filtering Rules by Xuanrong Zhao

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A Novel Framework for Interactive Visualization and Analysis of Hyperspectral Image Data by Johannes Jordan, Elli Angelopoulou, Andreas Maier

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A collaborative routing protocol for video streaming with fog computing in vehicular ad hoc networks by Paulo Bezerra, Adalberto Melo, Allan Douglas, Hugo Santos, Denis Rosário, Eduardo Cerqueira

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Efficient Dynamic Replication Algorithm Using Agent for Data Grid by Priyanka Vashisht, Rajesh Kumar, Anju Sharma

“…The scheduling parameters are bandwidth, load gauge, and computing capacity of the node. The scheduling in data grid helps in reducing the data access time. …”
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Secure IoT data dissemination with blockchain and transfer learning techniques by Pooja Anand, Yashwant Singh, Harvinder Singh

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Design and application of wireless network optimal data sharing architecture by Rupeng XU, Jingye CUI, Zeluo GUAN, Jing NING, Gang RU, Lei NIE, Zhiliang CHEN

“…During wireless network optimization，a variety of network data would be used. However，the presence of dispersed storage，low utilization rate and inconvenience in using and other issues of existing data are incapable of meeting the future needs of large data network optimization.Referring from the big data technology widely used in internet field，network optimization center，an architecture design of network optimization big data sharing platform was proposed，dispersed data was intergrated，and a unified data sharing port was formulated，which could utilize efficiency of data usage. …”
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Personal data privacy protection method based onvertical partitioning by RUAN Huafeng, LI Rui, LUO Kailun

“…Assuming <italic>n</italic> CSP participated in data storage, with no more than <italic>k</italic> of these potentially colluding, this paper defined a (<italic>k</italic>, <italic>n</italic>)-security for vertical partitioning and introduced an automated computation scheme for vertical partitioning based on machine learning—the MLVP scheme. …”
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RL-ADN: A high-performance Deep Reinforcement Learning environment for optimal Energy Storage Systems dispatch in active distribution networks by Shengren Hou, Shuyi Gao, Weijie Xia, Edgar Mauricio Salazar Duque, Peter Palensky, Pedro P. Vergara

“…Deep Reinforcement Learning (DRL) presents a promising avenue for optimizing Energy Storage Systems (ESSs) dispatch in distribution networks. …”
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Construction of Basic Network in Data Center Based on SDN Technology by Qiang Wu, Xin Xu, Guoyan Liu

“…By appling SDN technology in data center, the resource was aggregated to become an ability pool through abstracting the hardware resource by using the intelligent software, which makes network more like software and more agility, and provides automatic, safe, flexible and effective scheduling resources ability to meet the cloud computing data center. …”
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Cloud Based Metalearning System for Predictive Modeling of Biomedical Data by Milan Vukićević, Sandro Radovanović, Miloš Milovanović, Miroslav Minović

“…Rapid growth and storage of biomedical data enabled many opportunities for predictive modeling and improvement of healthcare processes. …”
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Research on Application of Big Data Technique in Electricity Power Industry by Yunshan Zhao, Huanhuan Liu

“…With the rapid development of information technology, the ubiquitous sensor network, high-speed communication network, and the high performance distributed computing system have been commonly implemented. The massive data, which is generated anytime, with the mass storage, heterogeneous structure, and requiring on-time process, is bringing our society into the age of big data. …”
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Design and Implementation of Decentralized Swarm Intelligence E-Commerce Model Based on Regional Chain and Edge Computing by Xiaofang Luo

“…The architecture utilizes the characteristics of nontamperable and traceable data on the blockchain to solve the problem of mutual distrust between the transaction parties, uses MongoDB for data retrieval and filtering to solve the problem that it is difficult to query flexibly on the blockchain, uses the file platform to save public resources to solve the problem that it is very expensive or even infeasible to store images or large texts in the blockchain, and ensures remote sensing resources and services related to the effective storage of images and description texts. …”
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Empowering Diabetes Management Through Blockchain and Edge Computing: A Systematic Review of Healthcare Innovations and Challenges by K. Tlemcani, K. Azbeg, E. Saoudi, L. Fetjah, O. Ouchetto, S. Jai Andaloussi

“…We analyzed 52 studies, categorizing findings into three key areas: enhanced data security and privacy through decentralized frameworks and tamper-proof storage; real-time data processing, enabled by edge computing for immediate analytics and alerts; and scalability, achieved via hybrid architectures that optimize data handling. …”
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Processing Methods for Digital Image Data Based on the Geographic Information System by Xi Wang, Taizheng Chen, Dongwei Li, Shiqi Yu

“…Digital image data processing is mainly to input digital image data into a computer to complete the conversion of a continuous spatially distributed image model into a discrete digital model so that the computer can identify, process, and store the processing process of digital image information. …”
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LotusSQL: SQL Engine for High-Performance Big Data Systems by Xiaohan Li, Bowen Yu, Guanyu Feng, Haojie Wang, Wenguang Chen

“…Advanced query optimization technologies are added to improve the quality of execution plans. Above the storage design and user interface of the compute engine, LotusSQL implements a set of structured dataset operations with high efficiency and integrates them with the frontend. …”
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Geospatial perspective for monitoring SDG 6.6.1 based on spatial and temporal analysis of lake water storage variations in Dongting Lake, China by Huanhua Peng, Zihan Tang, Zhiming Chen, Yating Wu, Yuan Yuan, Qian Shi, Lelin Li, Hao Chen

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