Task Offloading with LLM-Enhanced Multi-Agent Reinforcement Learning in UAV-Assisted Edge Computing by Feifan Zhu, Fei Huang, Yantao Yu, Guojin Liu, Tiancong Huang

“…Unmanned aerial vehicles (UAVs) furnished with computational servers enable user equipment (UE) to offload complex computational tasks, thereby addressing the limitations of edge computing in remote or resource-constrained environments. …”
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PPO-Based Joint Optimization for UAV-Assisted Edge Computing Networks by Zhihui Liu, Qiwei Zhang, Yi Su

“…In next-generation mobile communication scenarios, more and more user terminals (UEs) and edge computing servers (ECSs) are connected to the network. …”
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Intelligent Scheduling Method Supporting Stadium Sharing by Lei Fang

“…When using edge computing (EC) technology for service calculation, the mobile terminal needs to offload the service to the edge computing server. After the server completes the calculation, the calculation results will be sent back to the mobile terminal. …”
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Environment data processing for a data centre by Joshi, Anirudh

“…Data centres have become essential with the increasing popularity of cloud computing. Server overheating is a major problem faced by these computing infrastructures. …”
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Hybrid GPU–CPU Efficient Implementation of a Parallel Numerical Algorithm for Solving the Cauchy Problem for a Nonlinear Differential Riccati Equation of Fractional Variable Order... by Dmitrii Tverdyi, Roman Parovik

“…This paper presents a study on the computational efficiency of the proposed parallel algorithm based on data from a series of computational experiments that were obtained using a computing server NVIDIA DGX STATION. The average computation time is analyzed in terms of the following: running time, acceleration, efficiency, and the cost of the algorithm. …”
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Voltage Regulation in Edge Energy Router System via <tex>$H_{\infty}$</tex> Control with Markov Jump by Yutong Li, Haochen Hua, Junwei Cao

“…In this paper, the concept of edge energy router is proposed, which has the ability of task computing and scheduling similar to edge computing server, as well as the ability of energy transmission and system control of energy router. …”
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SafeDrive: Hybrid Recommendation System Architecture for Early Safety Predication Using Internet of Vehicles by Rayan Nouh, Madhusudan Singh, Dhananjay Singh

“…It also enables accurate prediction of accidents beforehand, and also minimizes the complexity of on-road vehicles and latency due to fog/cloud computing servers.…”
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Column storage enables edge computation of biological big data on 5G network by Miaoshan Lu, Junjie Tong, Weidong Fang, Jinyin Wang, Shaowei An, Ruimin Wang, Hengxuan Jiang, Changbin Yu

“…With the continuous improvement of biological detection technology, the scale of biological data is also increasing, which overloads the central-computing server. The use of edge computing in 5G networks can provide higher processing performance for large biological data analysis, reduce bandwidth consumption and improve data security. …”
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Simulation Study of Influencing Factors of Immersion Phase-Change Cooling Technology for Data Center Servers by Tiantian Zhao, Rongfeng Sun, Xukai Hou, Jikai Huang, Wenguang Geng, Jianguo Jiang

“…These results can provide useful information for the designers of immersion phase-change cooling systems to improve the cooling efficiency of data centers, save energy, and ensure the safe operation of related computers, servers, and communication systems.…”
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Parallel Multithread Analysis of Extremely Large Simulation Traces by D. Appello, Paolo Bernardi, Andrea Calabrese, G. Pollaccia, Stefano Quer, V. Tancorre, R. Ugioli

“…Unfortunately, typical simulation traces can be hundreds of gigabytes long, and their analysis can require several days, even on large and powerful computational servers. In this paper, we propose a set of strategies to mitigate the evaluation time and the memory needed to analyze huge dump files stored in the standard Value Change Dump format. …”
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Implementing circularity measurements in industry 4.0-based manufacturing metrology using MQTT protocol and Open CV: A case study. by Yazid Saif, Yusri Yusof, Anika Zafiah M Rus, Atef M Ghaleb, Sobhi Mejjaouli, Sami Al-Alimi, Djamal Hissein Didane, Kamran Latif, Aini Zuhra Abdul Kadir, Hamood Alshalabi, Safwan Sadeq

“…The Internet of Things (IoT) technology enables seamless communication between advanced industrial devices through local and cloud computing servers. This study investigates the use of the MQTT protocol to enhance the performance of circularity measurement data transmission between cloud servers and round-hole data sources through Open CV. …”
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Small object Lentinula Edodes logs contamination detection method based on improved YOLOv7 in edge-cloud computing by Xuefei Chen, Shouxin Sun, Chao Chen, Xinlong Song, Qiulan Wu, Feng Zhang

“…This enables models to run more efficiently in mobile edge computing environments while reducing the burden on cloud computing servers. Finally, the boundary regression loss function was replaced with the WIoU (Wise-IoU) loss function, which focuses more on ordinary-quality anchor boxes and makes the model output results more accurate. …”
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Multiple objectives dynamic VM placement for application service availability in cloud networks by Yanal Alahmad, Anjali Agarwal

“…However, placing virtual machines (VMs) on computing servers to provision these services can present significant challenges, particularly in terms of meeting the requirements of application service providers. …”
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Distributed Intelligence in Wireless Networks by Xiaolan Liu, Jiadong Yu, Yuanwei Liu, Yue Gao, Toktam Mahmoodi, Sangarapillai Lambotharan, Danny Hin-Kwok Tsang

“…A blend of edge computing and Artificial Intelligence (AI) techniques could optimally shift the resourceful computation servers closer to the network edge, which provides the support for advanced AI applications (e.g., video/audio surveillance and personal recommendation system) by enabling intelligent decision making on computing at the point of data generation as and when it is needed, and distributed Machine Learning (ML) with its potential to avoid the transmission of the large dataset and possible compromise of privacy that may exist in cloud-based centralized learning. …”
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Exploring the Intersection of Consortium Blockchain Technologies and Multi-Access Edge Computing: Chronicles of a Proof of Concept Demo by Angelo Vera-Rivera, Ekram Hossain, Ahmed Refaey Hussein

“…In this article, we present the chronicles of EdgeChain network, a proof of concept demo of a blockchain-based model for secure and private task sharing collaboration specially designed for edge computing servers. EdgeChain operates on a decentralized approach that counts on the blockchain services provided by the Hyperledger Fabric platform. …”
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RANCANG BANGUN SISTEM LOCK AND CONTROLLING CLASS ROOMS (LCCR) BERBASIS RASPBERRY PI by , MOCHAMAD SUBIANTO, , Dr. Agfianto Eko Putra, M.Si.

“…Use MySQL database for central data is plased on computer servers so that the concept can be applied to many LCCR room or some Raspberry Pi. …”

Real Time Building Evacuation Modeling with an Improved Cellular Automata Method and Corresponding IoT System Implementation by Yanping Ji, Wensi Wang, Mengyi Zheng, Shuo Chen

“…Custom-designed wireless sensors, artificial intelligence (A.I.) enhanced surveillance cameras, intelligent emergency signage systems, and edge computing servers are used to sample fire and crowd data, operate the intelligent evacuation algorithm, and guide the crowd with the signage system in real-time conditions. …”
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Online Workload Allocation via Fog-Fog-Cloud Cooperation to Reduce IoT Task Service Delay by Lei Li, Mian Guo, Lihong Ma, Huiyun Mao, Quansheng Guan

“…By offloading tasks to a geographically proximal fog computing server instead of a remote cloud, the delay performance can be greatly improved. …”
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SEMS-5G: A Secure and Efficient Multi-Server Authentication Scheme for 5G Networks by Azeem Irshad, Mohammed Alreshoodi

“…To meet such requirements with the realization of 5G network technology as well as the qualification for cloud-based services, the resource deficient mobile end users must gain secure access to remote cloud computing servers. A robust multiserver authentication may ensure the stipulated computational efficiency for authenticated key agreements in 5G networks. …”
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Cascaded Segmentation U-Net for Quality Evaluation of Scraping Workpiece by Hsin-Chung Yin, Jenn-Jier James Lien

“…Hence, in this research, an edge-cloud computing system was developed to obtain the relevant parameters, which are the percentage of point (POP) and the peak point per square inch (PPI), for evaluating the quality of scraping workpieces. On the cloud computing server-side, a novel network called cascaded segmentation U-Net is proposed to high-quality segment the height of points (HOP) (around 40 μm height) in favor of small datasets training and then carries out a post-processing algorithm that automatically calculates POP and PPI. …”
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