An Intelligent and Cost-Efficient Resource Consolidation Algorithm in Nanoscale Computing Environments by MeSuk Kim, ALam Han, TaeYoung Kim, JongBeom Lim

“…The representative case would be the edge cloud, where small computing servers are deployed close to the cloud users to enhance the responsiveness and reduce turnaround time. …”
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SPOT: Secure and Privacy-Preserving PrOximiTy Protocol for e-Healthcare Systems by Souha Masmoudi, Nesrine Kaaniche, Maryline Laurent

“…It relies on a distributed proxy-based approach to preserve users’ privacy and a semi-trusted computing server to ensure data consistency and integrity. …”
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IRS-Assisted Physical Layer Security for 5G Enabled Industrial Internet of Things by Bakhtiar Ali, Jawad Mirza, Sajid Hussain Alvi, Mohammad Zubair Khan, Muhammad Awais Javed, Abdulfattah Noorwali

“…5G is a key enabler of Industrial Internet of Things (IIoT) that provides seamless connectivity between machines, sensors and computing servers. Security and privacy are major concerns for 5G enabled IIoT. …”
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A Microgrid Security Defense Method Based on Cooperation in an Edge-Computing Environment by Jian Shang, Runmin Guan, Changlu Shen

“…First, we build the edge-computing framework for microgrid, deploy the edge-computing server near the equipment terminal to improve the data processing efficiency, and deploy the blockchain in the edge server to ensure the reliability of the system. …”
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Enhanced whale optimization algorithm for dependent tasks offloading problem in multi-edge cloud computing by Khalid M. Hosny, Ahmed I. Awad, Wael Said, Mahmoud Elmezain, Ehab R. Mohamed, Marwa M. Khashaba

“…We operate within a system comprising many decentralized Mobile Edge Computing servers (MECs) and a centralized cloud server. …”
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Optimizing the Agricultural Internet of Things (IoT) with Edge Computing and Low-Altitude Platform Stations by Deshan Yang, Jingwen Wu, Yixin He

“…By integrating edge computing servers into LAPSs, data can be processed directly at the edge in real time, significantly reducing latency and dependency on remote cloud servers. …”
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Minimizing Thermal Stress for Data Center Servers through Thermal-Aware Relocation by Muhammad Tayyab Chaudhry, T. C. Ling, S. A. Hussain, Atif Manzoor

“…A rise in inlet air temperature may lower the rate of heat dissipation from air cooled computing servers. This introduces a thermal stress to these servers. …”
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Multi-Task and Multi-Step Computation Offloading in Ultra-dense IoT Networks by ZHOU Tian-qing, YUE Ya-li

“…With the rapid development of Internet of Things(IoT),various IoT mobile devices(IMDs) need to process more and more computing-intensive and delay-sensitive tasks,which puts forward new challenges for the mobile edge networks.To address these challenges,the MEC-equipped ultra-dense IoT has emerged.In such networks,IMDs can save their computation resources and reduce their energy consumption by offloading computing-intensive tasks to edge computing servers for processing.However,it will result in additional transmission time and higher delay.In view of this,an optimization problem is formulated for finding the trade-off between energy consumption and delay,which jointly considers the user(IMD) association,computation offloading and resource allocation for ultra-dense MEC-enabled IoT.To further balance the network load and fully utilize the computation resources,the optimization problem is finally modeled as multi-step computation offloading one.At last,an intelligent algorithm,adaptive particle swarm optimization(PSO),is utilized to solve the proposed problem.Compared with traditional PSO,the total cost of adaptive PSO reduces by 20%~65%.…”
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A comprehensive review on internet of things task offloading in multi-access edge computing by Wang Dayong, Kamalrulnizam Bin Abu Bakar, Babangida Isyaku, Taiseer Abdalla Elfadil Eisa, Abdelzahir Abdelmaboud

“…With the rapid development of Internet of Things (IoT) technology, Terminal Devices (TDs) are more inclined to offload computing tasks to higher-performance computing servers, thereby solving the problems of insufficient computing capacity and rapid battery consumption of TD. …”
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Router Activation Heuristics for Energy-Saving ECMP and Valiant Routing in Data Center Networks by Piotr Arabas, Tomasz Jóźwik, Ewa Niewiadomska-Szynkiewicz

“…We designed and developed several efficient heuristics for equal-cost multipath (ECMP) and Valiant routing that reduce the energy consumption in the computer network interconnecting computing servers. Implementing these heuristics enables the selection of routing paths and relay nodes based on current and predicted internal network load. …”
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Intelligent Task Offloading in Fog Computing Based Vehicular Networks by Ahmad Naseem Alvi, Muhammad Awais Javed, Mozaherul Hoque Abul Hasanat, Muhammad Badruddin Khan, Abdul Khader Jilani Saudagar, Mohammed Alkhathami, Umar Farooq

“…However, it is sometimes not possible for the fog computing server to process all offloaded tasks. In this work, a utility function for the RSU to process these offloaded tasks is designed. …”
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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

“…It is proved that the allocation strategy can optimize the utility of mobile edge computing server and improve allocating efficiency. Simulation results show the effectiveness of the proposed strategy compared with schemes based on auction game, and present performance with different changing system parameters.…”
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Efficient Privacy-Preserving <i>K</i>-Means Clustering from Secret-Sharing-Based Secure Three-Party Computation by Weiming Wei, Chunming Tang, Yucheng Chen

“…More concretely, the clustering task is outsourced to three semi-honest computing servers. Theoretically, the proposed privacy-preserving scheme can be proven with full data privacy. …”
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Security-aware energy-efficient design for mobile edge computing network operating with finite blocklength codes by Chenhao Shi, Yulin Hu, Yao Zhu, Anke Schmeink

“…Specifically, we examine a three-node scenario involving a user, a legitimate edge computing server, and an eavesdropper, where the user offloads sensitive data to the edge server while facing potential eavesdropping threats. …”
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Multi-User Computation Offloading and Resource Allocation Algorithm in a Vehicular Edge Network by Xiangyan Liu, Jianhong Zheng, Meng Zhang, Yang Li, Rui Wang, Yun He

“…In Vehicular Edge Computing Network (VECN) scenarios, the mobility of vehicles causes the uncertainty of channel state information, which makes it difficult to guarantee the Quality of Service (QoS) in the process of computation offloading and the resource allocation of a Vehicular Edge Computing Server (VECS). A multi-user computation offloading and resource allocation optimization model and a computation offloading and resource allocation algorithm based on the Deep Deterministic Policy Gradient (DDPG) are proposed to address this problem. …”
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Applying an auction optimization algorithm to mobile edge computing for security by Yi Wang, Tao Tang, Fang Jiang, Yaohua Xu, Liping Li, Rong Huang

“…Abstract The great demand for mobile blockchain computing power is often unsatisfied by terminal devices, so computational tasks are offloaded to edge computing servers. This paper proposes a new mobile communication blockchain assumption, forms a computing power alliance (CPA), and builds a smart contract‐based security model. …”
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Uniting cyber security and machine learning: Advantages, challenges and future research by Mohammad Wazid, Ashok Kumar Das, Vinay Chamola, Youngho Park

“…Cyber security is the practice of protecting digital systems, such as computers, servers, mobile devices, networks and associated data from malicious attacks. …”
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Privacy-preserving deep learning for electricity consumer characteristics identification by Zhixiang Zhang, Qian Lu, Hansong Xu, Guobin Xu, Fanyu Kong, You Yu

“…In our protocols, the retailers secret-share their raw data to three computational servers, which implement deep learning training and inference through lightweight replicated secret sharing techniques. …”
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Panoramic Assessment Method of Substation Equipment Health Status Based on Multisource Monitoring and Deep Convolution Neural Network under Edge Computing Architecture by Zhu-xing Ma, Li-shuo Zhang, Hao Gu, Zi-zhong Xin, Zhe Kang, Zhao-lei Wang

“…Firstly, a panoramic sensing system for substation equipment is built based on edge computing, and an edge computing server is deployed in the substation to process the massive data obtained from multisource monitoring nearby. …”
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Hierarchical Clustering via Single and Complete Linkage Using Fully Homomorphic Encryption by Lynin Sokhonn, Yun-Soo Park, Mun-Kyu Lee

“…Therefore, we propose a cooperative approach in which the data owner aids the sorting process and shares a list of data positions with a computation server. Using this list, the server can determine the clustering of the data points. …”
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