The application and optimization of rolling processing technology in improving the efficiency of deep hole processing by Tian Chunlei, Cao Yan, Chen Tian, Yuan Tianlong

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Leveraging Priority Queueing in IoT-Edge-Fog-Cloud Infrastructures for Efficient Healthcare Monitoring by Dang Van Anh, Van-Hau Nguyen

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A Survey on Privacy and Security in Distributed Cloud Computing: Exploring Federated Learning and Beyond by Ahmad Rahdari, Elham Keshavarz, Ehsan Nowroozi, Rahim Taheri, Mehrdad Hajizadeh, Mohammadreza Mohammadi, Sima Sinaei, Thomas Bauschert

“…The increasing need to process large, high-dimensional datasets and the substantial computational power required have made the use of distributed cloud servers essential. …”
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Multiagent Consensus Control Strategy considering Whole-Process Thermodynamic Characteristics of Air Conditioning Process by Jun Li, Bo Geng, Zhixian Lin, Min Chen, Liangyou Shao, Yanmin Zhou, Yuqing Bao

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Cross-Domain Edge Computing Offloading Strategy for Delay-Optimized in Low Earth Orbit Satellite Network by YANG Guisong, HUANG Yechao, HE Xingyu

“…With the rapid development of satellite networks, edge computing on low earth orbit (LEO) satellites has been widely adopted to reduce latency and enhance task processing efficiency. …”
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Proposal for a Security Management in Cloud Computing for Health Care by Knut Haufe, Srdan Dzombeta, Knud Brandis

“…Starting with a framework of general information security management processes derived from standards of the ISO 27000 family the most important information security processes for health care organizations using cloud computing will be identified considering the main risks regarding cloud computing and the type of information processed. …”
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DataLab as a Service: Distributed Computing Framework for Multi-Interactive Analysis Environments by Aida Palacio Hoz, Andres Heredia Canales, Ezequiel Cimadevilla Alvarez, Marta Obregon Ruiz, Alvaro Lopez Garcia

“…The platform enables users to easily and automatically deploy interactive environments tailored for data analysis, thereby streamlining the process of managing computational resources. Through DLaaS, users gain access to cloud-based infrastructures and distributed computing resources, which are essential for performing compute-intensive tasks on massive datasets. …”
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A Task Offloading and Resource Allocation Strategy Based on Multi-Agent Reinforcement Learning in Mobile Edge Computing by Guiwen Jiang, Rongxi Huang, Zhiming Bao, Gaocai Wang

“…In order to solve delayed rewards, this paper models the offloading and scheduling problem as a “task-oriented” Markov decision process. This process abandons the commonly used equidistant time slot model but uses dynamic and parallel slots in the step of task processing time. …”
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Channel-Less Process Communication by Tomas Plachetka

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Seamless and Modular Architecture for Autonomous Machine Tools by Jürgen Fleischer, Alexander Puchta, Philipp Gönnheimer

“…In machine tools, existing solutions for process monitoring and condition monitoring rely on additional sensors or the machine control system as data sources. …”
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Method of ciphertext retrieval in mobile edge computing based on block segmentation by Na WANG, Kun ZHENG, Junsong FU, Jian LI

“…Aiming at the efficiency of cloud computing ciphertext retrieval scheme,a method of ciphertext retrieval in mobile edge computing based on block segmentations was proposed.Firstly,the edge server was introduced to calculate the document similarity score,thereby the computational cost of cloud server was reduced and the processing efficiency of cloud server was improved.Secondly,most keywords that are not related to the query were filtered out by a method of block segmentations based on the MRSE scheme,thereby the efficiency of calculating the document similarity score was improved.Theoretical analysis and experimental results show that the solution is safe under the known background threat model.Compared with the existing scheme,the proposed scheme has the same security and higher retrieval efficiency.…”
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Fog Computing Resource Optimization: A Review on Current Scenarios and Resource Management by Dar et al.

“…The unpredictable and huge data generation nowadays by smart computing devices like (Sensors, Actuators, Wi-Fi routers), to handle and maintain their computational processing power in real time environment by centralized cloud platform is difficult because of its limitations, issues and challenges, to overcome these, Cisco introduced the Fog computing paradigm as an alternative for cloud-based computing. …”
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From Sensors to Data Intelligence: Leveraging IoT, Cloud, and Edge Computing with AI by Ilenia Ficili, Maurizio Giacobbe, Giuseppe Tricomi, Antonio Puliafito

“…This paper explores innovative approaches to combine these technologies, emphasizing their role in enabling real-time decision-making, predictive analytics, and low-latency data processing. This work analyzes several integration approaches among IoT, cloud/edge computing, and AI through examples and applications, highlighting challenges and approaches to seamlessly integrate these techniques to achieve pervasive environmental intelligence. …”
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Fuzzy inference rule based task offloading model (FI-RBTOM) for edge computing by Kashif Ibrahim, Ahthasham Sajid, Ihsan Ullah, Inam Ullah Khan, Keshav Kaushik, S S. Askar, Mohamed Abouhawwash

“…The key objective of edge computing is to reduce delays and provide consumers with high-quality services. …”
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A Dynamic Load Balancing Architecture for Fog Computing using Tree Base Resource Arrangement and Flexible Task Prioritization by Bikash Sarma, R. Kumar, Themrichon Tuithung

“…The proposed system is designed so that overall complexity is not upraised and becomes suitable for fog computing architecture with low processing capacity by maintaining the quality of service. …”
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vConnect: V2V Connectivity Prediction and Independent Task Offloading Framework in Vehicular Edge Computing by Adsadawut Chanakitkarnchok, Kiattikun Kawila, Kultida Rojviboonchai

“…Vehicular Edge Computing enables the utilization of idle resources on vehicles. …”
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Two-Criteria Technique for the Resource-Saving Computing in the Fog and Edge Network Tiers by A. B. Klimenko

“…At present, the concepts of fog and edge computing are used in a wide range of applications of various kinds. …”
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Regression Model Employing Spiking Neural Network for Bio-Signal Analysis With Hardware Integration by Choongseop Lee, Geunbo Yang, Jaewoo Baek, Yuntae Park, Mingyu Cheon, Jongkil Park, Cheolsoo Park

Subjects: “…Biomedical signal processing…”
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Accelerating Euclidean Distance Transforms: A Fast and Flexible Approach With Multi-Vendor GPU, Multi-Threading, and Multi-Language Support by Dale Black, Wenbo Li, Qiyu Zhang, Sabee Molloi

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A comprehensive survey of imbalanced learning methods for bankruptcy prediction by Tuong Le

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