Performance Analysis and Application of Mobile Blockchain in Mobile Edge Computing Architecture by Thiago Sandes, Admilson Lima, Edward Moreno

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Task offloading and resource allocation for blockchain‐enabled mobile edge computing by Renbin Fang, Peng Lin, Yize Liu, Yan Liu

“…The MEC‐assisted BS helps UTs compute tasks while the blockchain consensus protocol ensures the security of the task offloading and computing process. …”
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Design and Implementation of ESP32-Based Edge Computing for Object Detection by Yeong-Hwa Chang, Feng-Chou Wu, Hung-Wei Lin

“…This paper explores the application of the ESP32 microcontroller in edge computing, focusing on the design and implementation of an edge server system to evaluate performance improvements achieved by integrating edge and cloud computing. …”
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Hybridization of meta-heuristic algorithm for load balancing in cloud computing environment by U.K. Jena, P.K. Das, M.R. Kabat

“…Load balancing of tasks on the cloud environment is an important aspect of distributing resources from a data centre. Due to the dynamic computing through the internet; cloud computing agonizes from overloading of requests. …”
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High-performance computing for static security assessment of large power systems by Venkateswara Rao Kagita, Sanjaya Kumar Panda, Ram Krishan, P. Deepak Reddy, Jabba Aswanth

“…This paper proposes a parallel algorithm for static CA that uses both central processing units (CPUs) and graphical processing units (GPUs). …”
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Elicitation of Nonfunctional Requirements in Agile Development Using Cloud Computing Environment by Muhammad Younas, Dayang Norhayati Abang Jawawi, Muhammad Arif Shah, Ahmad Mustafa, Muhammad Awais, Muhammad Kamran Ishfaq, Karzan Wakil

“…This study proposed a semi-automated methodology which will help analyst and developers in eliciting nonfunctional requirements in agile development and cloud computing environment. The methodology used an NLP based automatic NFR extraction approach to fast the NFR elicitation process. …”
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AI-Enabled IoT for Food Computing: Challenges, Opportunities, and Future Directions by Zohra Dakhia, Mariateresa Russo, Massimo Merenda

“…This review highlights AI applications, including computer vision for food recognition and quality assessment, Natural Language Processing for recipe analysis, and predictive modeling for dietary recommendations. …”
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Trend of next generation network architecture:computing and networking convergence evolution by Huijuan ·AO, Liang GENG

“…The great development of the industrial internet represented by the industrial internet will promote the transformation of the future network from the information infrastructure with information transmission as the core to the intelligent information infrastructure integrating perception,transmission,storage,computing and processing.Based on the development trend of application,network technologies and cloud computing technologies,the future data network needs to redesign the network architecture,which were proposed from the integration of computing,network and storage to meet the needs of new business and new scenarios in the future.…”
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DEEP NEURAL NETWORK-BASED APPROACH FOR COMPUTING SINGULAR VALUES OF MATRICES by Diyari A. Hassan

“… Matrix factorization techniques, such as Singular Value Decomposition (SVD), Eigenvalue Decomposition (EVD), and QR decomposition, have long been pivotal in computational mathematics, particularly for applications in signal processing, machine learning, and data analysis. …”
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Heterogeneous resource cooperative game in space-ground computing power network by Yutong ZHANG, Yuming PENG, Boya DI, Lingyang SONG

“…To deal with the resource competition among satellites in the multi-satellite space-ground computing network, a space-ground heterogeneous resource cooperative game mechanism was designed in terms of the computing and spectrum domains.Each satellite published a computing task which was independent of other tasks and relied on UE to generate raw data.By competing the resources of user terminals and UE, the task offloading and processing was achieved.To provide real-time data services, a distributed scheme was proposed based on multi-agent reinforcement learning to coordinate the computing and spectrum resource competition among satellites, thereby minimizing the system latency.Simulation results indicated that, compared with the existing schemes, the proposed algorithm achieves a lower system latency by fully utilizing the computing and spectrum resources and coordinating the resource competition.…”
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Research on Resource Pool for Carrierˊs Service Platform Based on Cloud Computing by Yongjin Liu, Ke Huang

“…As cloud computing matures, using virtualization technology to build a cloud computing resource pool, carrying on the carrier's service platforms has become an important way for platform integration. …”
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Reservoir computing-based signal compensation for laser inter-satellite communications by Feng Wen, Juan Yong, Jian-Jun Li, Shui-Qiu Diao

“…Abstract We introduce the reservoir computing (RC) concept into the laser processing unit for the scenario of the inter-satellite communication to mitigate the impacts from the multi-distortion sources, enabling significantly improving the quality of the coherent signals through the intelligent approach in outer space. …”
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Resource allocation based on optimal transport theory in IoT edge computing by Qi ZHANG, Yuna JIANG, Xiaohu GE, Yonghui LI

“…With the development of the Internet of things (IoT) and edge computing, the computation-intensive tasks of IoT devices can be offloaded to edge devices and processed at the edge of networks.Due to the variation of the distribution and computation requirements of IoT devices, the computation resources of edge networks need to be managed dynamically.The optimal transport theory was adopted to optimize the computation resources allocation in IoT networks.An optimized regional partition mechanism was proposed based on the distribution of IoT devices and locations of edge computing devices.Under constraints on the computing capabilities of edge computing devices, the energy consumption and delay of IoT devices were optimized.The simulation results show that, compared with the traditional Voronoi partition scheme, the proposed optimization mechanism shows better balance.The average transmitting power can be reduced by 21% and the average delay can be reduced by 45%.…”
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Revitalizing Astronomical Azimuth Determination: Integrating Modern Computing with Traditional Techniques by Luigi Barazzetti

“…This work aims to simplify these calculations by providing open-source Python scripts that automate the process. These scripts also simulate the achievable precision, allowing users to plan optimal observations in advance. …”
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Virtual reality compressing and transmitting system based on mobile edge computing by Bin TAN, Songyuan ZHAO, Jun WU, Wenru ZHANG

“…In order to solve the problem of the high requirements of data transmission rate and sensitivity to transmission delay in virtual reality (VR) based on cloud services,a Cloud VR system with MEC (mobile edge computing) was proposed,mainly including viewpoint-based VR processing and HDA (hybrid digital-analog) transmission optimization.Firstly,a dynamic streaming method based on user viewpoint and pyramid projection was used to implement a complete edge cloud VR system.Then,HDA transmission was introduced to optimize the transmission,and a heuristic algorithm for resource allocation was given.Finally,the base station protocol stack was transformed,and the MEC was integrated into the LTE (long term evolution) system to implement a complete mobile edge cloud VR system.Experimental results demonstrate that the proposed scheme has good robustness and efficient transmission by comparing with the existing schemes.…”
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Algorithm design on energy efficiency maximization for UAV-assisted edge computing by Qihui WU, Wei WU

“…For the unmanned aerial vehicle (UAV)-assisted edge computing system,a two-stage alternative algorithm was proposed to solve the formulated complex non-convex problem.Firstly,the formulated non-linear fractional programming problem was reformulated to the equivalent parametric problem by using Dinkelbach method.Secondly,two sub-problems were further considered based on it.By employing the Lagrange duality method,the closed-form solutions for the central processing unit frequencies and the number of data bits were derived.Finally,based on the solutions obtained,the conditions that the source node prefers to offload/share its data and the relay chooses to forward the computation results,as well as the approaches to achieve high energy efficiency were revealed.Numerical results demonstrate that the proposed design can achieve a performance improvement of up to 20 times over the conventional schemes.…”
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Intelligent Infrastructure for Traffic Monitoring Based on Deep Learning and Edge Computing by Jaime Villa, Franz García, Rubén Jover, Ventura Martínez, José M. Armingol

“…This study proposes a computer vision-based solution that allows for real-time processing of video streams through edge computing devices, eliminating the need for Internet connectivity or dedicated sensors. …”
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Multifunctional Photonic Reservoir Computing Based on Semiconductor Laser With Optical Feedback by Liyue Zhang, Weijie Hong, Songsui Li, Wei Pan, Lianshan Yan, Bin Luo, Xihua Zou

“…In this paper, we propose and experimentally demonstrate multifunctional photonic reservoir computing (MPRC), inspired by this biological characteristic. …”
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Quantum Computing in Health Care and Dentistry: Transformative Potential, Applications, and Challenges by Roja Lakshmi Karri, Chinta Priyanka Reddy, Sindhuri Yerra, Juneda Vahid Shaik, Srujananjali Grandhi, Tejaswi Gavidi

“…With its ability to process massive datasets and simulate molecular behavior at lightning speed, quantum computing could pave the way for breakthroughs in disease diagnosis, treatment, and drug discovery. …”
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Fog server deployment technique: An approach based on computing resource usage by Jung-Hoon Lee, Sang-Hwa Chung, Won-Suk Kim

“…To solve these problems, a new architecture called fog computing has been proposed. Fog computing can process data on a network device close to the user, drastically reducing the bandwidth required from the network and providing near real-time response. …”
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