Implementing Blockchain Technology for Secure Data Transactions in Cloud Computing Environments Challenges and Solutions by Dandu Varalakshmi, N Shirisha, K Suresh, Saidhbi Shaik, V Venkatesh, C F Theresa Cenate

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A Preliminary Exploration on the Terminology and Standard System for Computing Power-Electricity-Heat Synergy by WANG Yongzhen, HAN Yibo, GUO Kai, HAN Kai, HAN Te, FAN Junqiu

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Backscatter-based UAV-enabled mobile edge computing IoT network: design and analysis by Dac-Binh Ha, Truong, Tien-Vu Truong, Nguyen-Son Vo, Van Nhan Vo

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The evolution of cloud computing in education: from Hype Cycle to mainstream adoption (2012-2024) by Olha V. Chorna

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Mobile edge computing resource allocation: A joint Stackelberg game and matching strategy by Shaoyong Guo, Xing Hu, Gangsong Dong, Wencui Li, Xuesong Qiu

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An Efficient Quantum Blockchain Framework With Edge Computing for Privacy-Preserving 6G Networks by Kranthi Kumar Singamaneni, Budati Anil Kumar, Raenu A. L. Kolandaisamy, Vijaya Saradhi Dommeti, Swetha Katragadda

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A Practical Performance Benchmark of Post-Quantum Cryptography Across Heterogeneous Computing Environments by Maryam Abbasi, Filipe Cardoso, Paulo Váz, José Silva, Pedro Martins

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Blockchain-enabled verification of medical records using soul-bound tokens and cloud computing by Puneeta Singh, Shrddha Sagar, Sofia Singh, Haya Mesfer Alshahrani, Masresha Getahun, Ben Othman Soufiene

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SREHA: An Efficient Handover Authentication Scheme Based on Social Relationships in Mobile Edge Computing by Ziwang Wang, Liang Wang, Huili Yan, Zhize Wu

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Foreign Body Detection Method for Transmission Equipment Based on Edge Computing and Deep Learning by Yanqiao LU, Cuiying SUN, Hongwei CAO, Hongwei YAN

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A secure and trustworthy blockchain-assisted edge computing architecture for industrial internet of things by Sasikumar Asaithambi, Senthilkumar Nallusamy, Jing Yang, Sunil Prajapat, Gyanendra Kumar, Pramod Singh Rathore

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FedACT: An adaptive chained training approach for federated learning in computing power networks by Min Wei, Qianying Zhao, Bo Lei, Yizhuo Cai, Yushun Zhang, Xing Zhang, Wenbo Wang

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Time-Triggered Task Offloading Scheduling in TSN-Based Edge Computing Power Networks by Hongrui Nie, Yang Wu, Weifeng Zhu, Jinzuo Zhong, Hang Yang, Yu Zhou

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Cloud Computing Resource Scheduling Algorithm Based on Unsampled Collaborative Knowledge Graph Network by Haichuan Sun, Liang Gu, Chenni Dong, Xin Ma, Zeyu Liu, Zhenxi Li

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Energy-Efficient on-Board Radio Resource Management for Satellite Communications via Neuromorphic Computing by Flor Ortiz, Nicolas Skatchkovsky, Eva Lagunas, Wallace A. Martins, Geoffrey Eappen, Saed Daoud, Osvaldo Simeone, Bipin Rajendran, Symeon Chatzinotas

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Myoelectric signal and machine learning computing in gait pattern recognition for flat fall prediction by Shuo Zhang, Biao Chen, Chaoyang Chen, Maximillian Hovorka, Jin Qi, Jie Hu, Gui Yin, Marie Acosta, Ruby Bautista, Hussein F. Darwiche, Bryan E. Little, Carlos Palacio, John Hovorka

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Service function chain embedding algorithm with wireless multicast in mobile edge computing network by Kan WANG, Nan ZHAO, Junhuai LI, Huaijun WANG

“…To resolve the excessive system overhead and serious traffic congestion in user-oriented service function chain (SFC) embedding in mobile edge computing (MEC) networks,a content-oriented joint wireless multicast and SFC embedding algorithm was proposed for the multi-base station and multi-user edge networks with MEC servers.By involving four kinds of system overhead,including service flow,server function sustaining power,server function service power and wireless transmission power,an optimization model was proposed to jointly design SFC embedding with multicast beamforming.Firstly,with Lagrangian dual decomposition,the problem was decoupled into two independent subproblems,namely,SFC embedding and multicast beamforming.Secondly,with the L<sub>p</sub> norm penalty term-based successive convex approximation algorithm,the integer programming-based SFC embedding problem was relaxed to an equivalent linear programming one.Finally,the non-convex beamforming optimization problem was transformed into a series of convex ones via the path following technique.Simulation results revealed that the proposed algorithm has good convergence,and is superior to both the optimal SFC embedding with unicasting and random SFC embedding with multicasting in terms of system overhead.…”
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Polyhedral Tiling Strategies for the Zuker Algorithm Optimization by Wlodzimierz Bielecki, Marek Palkowski, Piotr Blaszynski, Maciej Poliwoda

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The method for optimal server placement in the hypercube networks by Jan Chudzikiewicz, Tomasz Malinowski, Zbigniew Zieliński

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An Optimized Stochastic Techniques related to Option Pricing by Venelin Todorov, Ivan Dimov, Stefka Fidanova, Stoyan Apostolov

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