Innovative computing and blockchain technologies in agriculture for accelerating economic integration among Russia, China, and the Republic of Belarus by A. Yu. Mikhailov

“…Cloud computing refers to distributed computing technologies that use algorithms for network access to shared computing resources. …”
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Research on heterogeneous radio access and resource allocation algorithm in vehicular fog computing by Kai XIONG, Supeng LENG, Ke ZHANG, Hao LIU

“…With the development of intelligent transportation and the constant emergence of new vehicular on-board applications,such as automatic driving,intelligent vehicular interaction and safety driving.It is difficult for an independent vehicle to run a wide variety of applications with a large number of computing needs and time delay needs relying on its own limited computing resources.By distributing computing tasks in devices on the edge of the network,fog computing applies virtualization technology,distributed computing technology and parallel computing technology to enable users to dynamically obtain computing power,storage space and other services on demand.Applying fog computing architecture to Internet of vehicles can effectively alleviate the contradiction between the large computing-low delay demands and limited vehicular resources.By analyzing the channel capacity of vehicle-to-vehicle communication,vehicle-infrastructure communication and vehicle-time-delay tolerant network communication,an optimization model of heterogeneous access to multi-service resources for the Internet of vehicles was established,and various vehicle-to-fog resources were jointly dispatched to realize efficient processing of intelligent transportation applications.The simulation results show that the proposed reinforcement learning algorithm can effectively deal with the resource allocation in the heterogeneous vehicular fog architecture.…”
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REVIEW ON FOG COMPUTING – APPLICATIONS, SECURITY, AND SOLUTIONS by Varun Varma Sangaraju, SV Achuta Rao, Amjan Shaik, Prasuna VG, Nagaraju P B S.R.K.R.

“…A distributed computing model known as fog computing lies near the user for efficient data processing and analysis. …”
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The design of a context-aware service system in intelligent transportation system by Jingkun Chang, Wenbin Yao, Xiaoyong Li

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Path selection algorithm with minimal delay in wireless sensor networks by Tianbo Lu, Yifei Su, Youwen Wang, Xiaoyan Zhang, Hao Meng

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Internet of Things Enabled Machine Learning-Based Smart Systems: A Bird’s Eye View by Ashish Kumar Rastogi, Swapnesh Taterh, Billakurthi Suresh Kumar

“…We also discuss pandemic control, networked-enabled cars, distributed computing, trivial deep learning, and the Internet of Things. …”
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A Variable Service Broker Routing Policy for data center selection in cloud analyst by Ahmad M. Manasrah, Tariq Smadi, Ammar ALmomani

“…Cloud computing depends on sharing distributed computing resources to handle different services such as servers, storage and applications. …”
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A Dual-Agent Approach for Coordinated Task Offloading and Resource Allocation in MEC by Jiadong Dong, Kai Pan, Chunxiang Zheng, Lin Chen, Shunfeng Wu, Xiaolin Zhang

“…Multiaccess edge computing (MEC) is a novel distributed computing paradigm. In this paper, we investigate the challenges of task offloading scheduling, communication bandwidth, and edge server computing resource allocation for multiple user equipments (UEs) in MEC. …”
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COUPLED SIMULATION FOR FIRE-EXPOSED STRUCTURES USING CFD AND THERMO-MECHANICAL MODELS by Stanislav Šulc, Vít Šmilauer, František Wald

“…Both softwares are interconnected with MuPIF python library, which allows smooth data transfer across the different meshes, orchestrating simulations in particular codes, exporting results to the VTK formats and distributed computing.…”
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A Novel Information Security Framework for Securing Big Data in Healthcare Environment Using Blockchain by Lakshman Kannan Venugopal, Rajappan Rajaganapathi, Abhishek Birjepatil, Sundararajan Edwin Raja, Gnanasaravanan Subramaniam

“…It is also designed to be compatible with existing distributed computing and data querying technologies such as Hadoop and Spark, which will help organizations to improve the accessibility of health care data. …”
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Optimal Space Lower Bound for Deterministic Self-Stabilizing Leader Election Algorithms by Lélia Blin, Laurent Feuilloley, Gabriel Le Bouder

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A Decentralized Polling System Using Ethereum Technology by Samarth Shakya, Vivek Kapoor

“…This will highlight blockchain frameworks including blockchain as a service and polling system which is on blockchain that addresses all constraint introducing ethereum which is a blockchain-based distributed computing platform. Ethereum is open source, and publicly available with a system featuring smart contracts. …”
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Evaluation method of e-government audit information based on big data analysis by Jingui He, Hansi Ya

“…The proposed method is built on a Hadoop-based distributed computing platform, which supports heterogeneous data integration and efficient parallel processing. …”
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«Potok» – distributed platform for modeling digital twins of the GLONASS by R. S. Kulikov, S. V. Vishnyakov, A. P. Malyshev, M. A. Orlova, T. А. Brovko

“…The technical implementation of the platform consists of a distributed computing network, a repository of computer models, as well as a node for modelling session management. …”
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Summary Instance: Scalable Event Priority Determination Engine for Large-Scale Distributed Event-Based System by Ruisheng Shi, Yang Zhang, Lina Lan, Fei Li, Junliang Chen

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Game Strategies for Data Transfer Infrastructures Against ML-Profile Exploits by Nageswara S. V. Rao, Chris Y. T. Ma, Fei He

“…Data transfer infrastructures composed of Data Transfer Nodes (DTN) are critical to meeting distributed computing and storage demands of clouds, data repositories, and complexes of supercomputers and instruments. …”
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OAC-HAS: outsourced access control with hidden access structures in fog-enhanced IoT systems by Jiale Zhang, Zhen Cheng, Xiang Cheng, Bing Chen

“…Fog computing is recently a novel distributed computing paradigm that performs a significant achievement in the latency-sensitive smart Internet of Things (IoT) applications. …”
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Medical laboratory data-based models: opportunities, obstacles, and solutions by Jiaojiao Meng, Moxin Wu, Fangmin Shi, Ying Xie, Hui Wang, You Guo

“…Proposed solutions include establishing standardized data formats, utilizing deep learning frameworks, employing distributed computing, improving interpretability, and implementing techniques like federated learning and algorithm optimization to address bias and safeguard privacy. …”
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An Efficient MapReduce-Based Parallel Clustering Algorithm for Distributed Traffic Subarea Division by Dawen Xia, Binfeng Wang, Yantao Li, Zhuobo Rong, Zili Zhang

“…Since existing methods may not be suitable for big traffic data processing, this paper presents a MapReduce-based Parallel Three-Phase K-Means (Par3PKM) algorithm for solving traffic subarea division problem on a widely adopted Hadoop distributed computing platform. Specifically, we first modify the distance metric and initialization strategy of K-Means and then employ a MapReduce paradigm to redesign the optimized K-Means algorithm for parallel clustering of large-scale taxi trajectories. …”
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Intelligent Monitoring of Multistory Buildings under Unknown Earthquake Excitation by a Wireless Sensor Network by Y. Lei, Y. L. Tang, J. X. Wang, Y. Q. Jiang, Y. Luo

“…Thus, the wireless sensor network has the unique feature offers distributed computing at group level. Finally, the proposed algorithm is embedded into the wireless sensor network for intelligent structural monitoring and an experimental test shows the technique is effective for intelligent monitoring of multi-story buildings under unknown earthquakes.…”
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