Survey on research progress for compute first networking by Qingmin JIA, Rui DING, Hui LIU, Chen ZHANG, Renchao XIE

“…With the development of 5G and mobile Internet technology, cloud computing, edge computing and intelligent terminal devices have been developed rapidly.Computing resources indicate a trend of ubiquitous deployment.How to use ubiquitous computing resources efficiently and collaboratively has become a hot topic at present in network field.In this context, the concept of compute first networking (CFN) has been proposed and attracted wide attention.Its basic idea is to enhance utilization of computing resources and improve user experience of network services, by converging computing and network deeply as well as coordinating distributed computing resources.Firstly the background and research status of CFN were analyzed, and then basic structure, workflow, and key technologies about CFN were explicated.Finally, future research directions and challenges about CFN were summarized.…”
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Our Vision for JGR: Machine Learning and Computation by E. Camporeale, R. Marino, the Editorial Board

“…Responding to an unmet demand in the existing worldwide editorial offer, the Journal of Geophysical Research: Machine Learning and Computation aims to serve as an intellectual crucible, fostering collaborations across multiple geophysical disciplines and data scientists. …”
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Conjunct model of cloud ＆ client computing based on multi-agent by XU Xiao-long, CHENG Chun-ling, XIONG Jing-yi

“…In order to utilize the resources of all nodes in networks fully,a novel conjunct model of cloud ＆ client computing based on multi-agent was proposed,dividing the computing environment into three layers in accordance with the type of node and adopting agent to represent the behavior and resource of node to realize more efficient resource sharing and collaboration.The model takes full account of available resources owned by terminal nodes and deploys tasks in an orderly manner to the core nodes,servers and terminal nodes in order to maximize the efficiency of the resource utilization.To assure that tasks could be completed efficiently and reliably,a multi-agent-based collaborative multi-ring management mechanism was also presented,which is particularly suitable for the cloud ＆ client conjunct computing environment and propitious to enhance the stability of resources sharing and nodes cooperation and relieve the load of core nodes.Finally,the construction method of experimental system and application demonstration based on the model was provided for reference.…”
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Conjunct model of cloud ＆ client computing based on multi-agent by XU Xiao-long, CHENG Chun-ling, XIONG Jing-yi

“…In order to utilize the resources of all nodes in networks fully,a novel conjunct model of cloud ＆ client computing based on multi-agent was proposed,dividing the computing environment into three layers in accordance with the type of node and adopting agent to represent the behavior and resource of node to realize more efficient resource sharing and collaboration.The model takes full account of available resources owned by terminal nodes and deploys tasks in an orderly manner to the core nodes,servers and terminal nodes in order to maximize the efficiency of the resource utilization.To assure that tasks could be completed efficiently and reliably,a multi-agent-based collaborative multi-ring management mechanism was also presented,which is particularly suitable for the cloud ＆ client conjunct computing environment and propitious to enhance the stability of resources sharing and nodes cooperation and relieve the load of core nodes.Finally,the construction method of experimental system and application demonstration based on the model was provided for reference.…”
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YOLO-Extreme: Obstacle Detection for Visually Impaired Navigation Under Foggy Weather by Wei Wang, Bin Jing, Xiaoru Yu, Wei Zhang, Shengyu Wang, Ziqi Tang, Liping Yang

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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

“…Task offloading and resource allocation is a research hotspot in cloud-edge collaborative computing. Many existing pieces of research adopted single-agent reinforcement learning to solve this problem, which has some defects such as low robustness, large decision space, and ignoring delayed rewards. …”
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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

“…Existing approaches primarily employ centralized or distributed management, where the former suffers from high information collection latency and limited flexibility, while the latter incurs high inter-satellite collaboration costs, restricting global optimization. …”
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5G edge computing development and application for industrial internet by Chengyu ZHANG, Hongwu LI, Yang QU, Jinwu WEI

“…The modern communication network technology represented by 5G and the accompanying mobile edge computing technology play a crucial role in the connection of the industrial internet, closely integrating production factors and exerting the value of collaborative operations.By describing the basic development status and technical characteristics of 5G edge computing, the application method for the industrial internet field and the comparison with the traditional model were explained, a reference implementation solution for industry services was proposed, and the expected application scenarios were summarized.…”
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5G edge computing development and application for industrial internet by Chengyu ZHANG, Hongwu LI, Yang QU, Jinwu WEI

“…The modern communication network technology represented by 5G and the accompanying mobile edge computing technology play a crucial role in the connection of the industrial internet, closely integrating production factors and exerting the value of collaborative operations.By describing the basic development status and technical characteristics of 5G edge computing, the application method for the industrial internet field and the comparison with the traditional model were explained, a reference implementation solution for industry services was proposed, and the expected application scenarios were summarized.…”
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Decentralized Iot Edge Nanoservice Architecture for Future Gadget-Free Computing by Erkki Harjula, Pekka Karhula, Johirul Islam, Teemu Leppanen, Ahsan Manzoor, Madhusanka Liyanage, Jagmohan Chauhan, Tanesh Kumar, Ijaz Ahmad, Mika Ylianttila

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Cognitive Computing and Business Intelligence Applications in Accounting, Finance and Management by Sio-Iong Ao, Marc Hurwitz, Vasile Palade

“…Cognitive computing encompasses computing tools and methods that simulate and mimic the process of human thinking, without human supervision. …”
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The Trope Tank: A Laboratory with Material Resources for Creative Computing by Nick Montfort, Erik Stayton, Natalia Fedorova

“… Principles for organizing and making use of a laboratory with material computing resources are articulated. This laboratory, the Trope Tank, is a facility for teaching, research, and creative collaboration and offers hardware (in working condition and set up for use) from the 1970s, 1980s, and 1990s, including videogame systems, home computers, and an arcade cabinet. …”
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From data to nutrition: the impact of computing infrastructure and artificial intelligence by Pierpaolo Di Bitonto, Michele Magarelli, Pierfrancesco Novielli, Donato Romano, Domenico Diacono, Lorenzo de Trizio, Angelo Mariano, Claudia Zoani, Riccardo Ferrero, Alessandra Manzin, Maria De Angelis, Roberto Bellotti, Sabina Tangaro

“…The article also discusses the need for ongoing interdisciplinary collaboration between data scientists, nutritionists, and food technologists to effectively address these challenges. …”
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OpenFOAM mesh generation service for cloud computing environment by Gao Ruochen, Huai Xiaoyong, Zhang Zhida, Li Baiwen

“…Through the integration test of the grid generation client software and the grid generation cloud service, the verification shows that this "cloud + terminal" mesh generation services can make full use of the server-side and client-side computing resources to achieve cloud and terminal collaboration optimization of computing.…”
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Single Photon Emission Computed Tomography/X-ray Computed Tomography-based radiomics analysis for diagnosis of bone metastases in patients with breast cancer by Huiyu Su, Chunwen Ma, Dongli Sun, Jianhua Jin

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Using synthetic data for the dissemination of computational geospatial models by Kostas CHELIOTIS

“…This paper presents the process of creating synthetic geospatial data within the scope of a research project which relied on real-world data, originally captured through close collaboration with industry partners. …”
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Computational Algorithms and Aesthetic Impact in Animated Visual Effects by Tao Duan, Wei Dong, Fei Wang, Yuxia Yao

“…This abstract explores the intersection of technical algorithms and artistic expression in the realm of VFX, focusing on their collaborative role in modern animation. The integration of computational algorithms enhances the realism and creativity of animated VFX. …”
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Computer-aided diagnosis of colorectal polyps: assisted or autonomous? by Yuichi Mori, Cesare Hassan

“…Human-artificial intelligence (AI) collaboration, which is expected to enhance optical diagnosis, has shown limited success in clinical trials, with studies indicating no significant improvement in human-only performance. …”
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INFLUENCE OF COMPUTER ASSISTED INSTRUCTION ON PRIMARY EDUCATION IN NIGERIA by Amede Lucky

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Ethical and Safety Challenges of Implantable Brain-Computer Interface by Ihab Abdulrahman Satam, Róbert Szabolcsi

“…The findings underscore the necessity of interdisciplinary collaboration to navigate the complex challenges of implantable BCIs, paving the way for their responsible integration into human-robot interactions.…”
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