Study on virtual resource allocation optimization in cloud computing environment by Li XU, Zhi-bin ZENG, Chuan YAO

“…Most existing researches of resource allocation in data center did not take into full consideration how to decrease energy consumption.The energy efficiency virtual resource allocation for cloud computing as a multi-objective optimization problem was formulated,which was then solved by intelligent optimization algorithm.The simulation results reveal that the strategy can successfully generate schedule scheme of different numbers of servers-VM with diverse characteristics and decrease the total operating energy of data center effectively.…”
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Edge Server Placement and Task Allocation for Maximum Delay Reduction by Koki Shibata, Sumiko Miyata

“…In this paper, we propose a method for determining both edge server placement and task allocation to reduce the maximum delay. Our method uses a genetic algorithm to optimize server utilization and the distance between users and servers. …”
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Fairness in Healthcare Services for Italian Older People: A Convolution-Based Evaluation to Support Policy Decision Makers by Davide Donato Russo, Frida Milella, Giuseppe Di Felice

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Quantum-enhanced digital twin IoT for efficient healthcare task offloading by Ahmed K. Jameil, Hamed Al-Raweshidy

“…Empirical evaluations show that quantum preprocessing improved Task Offloading Success Rate (TOSR) by 32% and reduced the Error Rate (ER) by 80%, significantly outperforming traditional DT-based healthcare models. …”
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Distributed robust planning for new power system considering uncertainty and frequency security by Xinxin Zheng, Dahai Zhang, Zhaohong Bie, Xue Wu

“…The integration of renewable energy into the grid has increased the uncertainty of source load, posing challenges to the frequency safety of the power system. …”
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Cognitive network channel allocation method based on the queuing delay and game analysis by Jun LIU, Xiu-feng XIE

“…A new dynamic spectrum allocation method for distributed cognitive radio networks was proposed.In the method,packet transmission success rate is chosen as the utility function,the transmission delay is resolved by the priority queuing model,and the user’s channel allocation strategy is achieved by distributed game.Compared with other algorithms,the policy iteration process is improved effectively,and a dynamic strategy adjustment step is adopted.Each network user dynamically adjust their channel choose strategy based on current perception of the remaining user’s strategy.The proposed algorithm lets channel selection strategy converge more quickly to equilibrium point,and effectively suppresses the policy shocks.The simulation results validate the proposed algorithm.…”
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Cognitive network channel allocation method based on the queuing delay and game analysis by Jun LIU, Xiu-feng XIE

“…A new dynamic spectrum allocation method for distributed cognitive radio networks was proposed.In the method,packet transmission success rate is chosen as the utility function,the transmission delay is resolved by the priority queuing model,and the user’s channel allocation strategy is achieved by distributed game.Compared with other algorithms,the policy iteration process is improved effectively,and a dynamic strategy adjustment step is adopted.Each network user dynamically adjust their channel choose strategy based on current perception of the remaining user’s strategy.The proposed algorithm lets channel selection strategy converge more quickly to equilibrium point,and effectively suppresses the policy shocks.The simulation results validate the proposed algorithm.…”
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A distributed week-ahead scheduling method for the charging / discharging of plug-in electric vehicles integrated into the grid by Yan Cui, Zechun Hu, Yujian Wan, Junsong Li, Chengcheng Shao, Zhiyuan Bao, Xiaoyu Duan

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Deep reinforcement learning for integrated vessel path planning with safe anchorage allocation by Gil-Ho Shin, Hyun Yang

“…This study addresses vessel path planning and anchorage allocation through a reinforcement learning approach. …”
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Outcomes for Patients With a Deceased Donor Kidney Offer in the New Allocation System by Sumit Mohan, Miko Yu, Lindsey M. Maclay, Joel T. Adler, Anne M. Huml, Jesse D. Schold, S. Ali Husain

“…Meanwhile, changes in kidney allocation policy have been associated with a dramatic increase in the number of organ offers declined before an organ is successfully placed. …”
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Power Dispatch Stability Technology Based on Multi-Energy Complementary Alliances by Yiming Zhao, Chengjun Zhang, Changsheng Wan, Dong Du, Jing Huang, Weite Li

“…It aims to enhance dispatch stability and energy utilization through an innovative Distributed Overlapping Coalition Formation (DOCF) model. A distributed algorithm utilizing tabu search is proposed to solve the complex optimization problem in power resource allocation. …”
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A dual time-scale optimal dispatch algorithm for PV systems: Integrating centralized optimal power dispatch with distributed power deviation absorption in DC smart grids by Jiahua Ni, Yuwei Chen, Arman Goudarzi, Tong Wang, Lingang Yang, Shengwei Mei

“…For short-term adjustments, a distributed consensus algorithm dynamically allocates power deviations among PV sources using reserve capacity, eliminating the need for probabilistic uncertainty modeling. …”
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From Concept to Market: Ensemble Predictive Model for Research Project Crowdfunding Readiness by Andreea Cristina Ionica, Stanislav Cseminschi, Monica Leba

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Adaptive guaranteed time slots allocation policy in wireless sensor networks with mobility awareness by LI Xiao-ji1, CHEN Chen1, QIU Hong-bing2, MO Wei2

“…To improve the connectivity in mobile wireless sensor networks,an adaptive GTS（guaranteed time slot） allocation algorithm with nodal mobility awareness was proposed.At first,the nodal location in next state was given by Kalman filters forecasting model.Then,a method that considered velocity,direction and relative mobility was used to define mobility level,based on which the nodal priorities for GTS reservation could be determined initially.Subsequently,the priorities could be adjusted adaptively according to the usage status feedback from allocated slots.Finally,the priorities could be used to determine the order for using GTS and the right of use an extra reservation slot.Simulation results show that the proposed scheme could increase the success rate of random access and ensure a lower average packets transmission delay and higher delivery ratio.Furthermore,with the adaptive adjustment scheme for reservation priorities base on usage feedback,the rate of correct utilization of allocated slots is increased significantly in the overall networks.…”
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An Automated Decision Support System for Portfolio Allocation Based on Mutual Information and Financial Criteria by Massimiliano Kaucic, Renato Pelessoni, Filippo Piccotto

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The Non-Orthogonal Multiple Access (NOMA) Dynamic Power Allocation in 5G Networks by Noor Alzubaidi, Ismael Sharhan Hubri

“…The performance of partially connected hybrid beamforming (PC-H-BF), a low-cost partially connected hybrid beamforming (H-BF) with a quick convergence sub-optimal power allocation algorithm, was explored in this work. A low-cost hybrid beam forming technique, as well as a dynamic threshold users' grouping mechanism, were created. …”
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Distributed RL-Based Resource Allocation and Task Offloading for Vehicular Edge of Things Computing by Ghada Afifi, Bassem Mokhtar

“…However, VEoTC frameworks face several challenges in effectively localizing and allocating the distributed resources and offloading tasks successfully due to the high mobility of vehicles and fluctuating user densities. …”
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Decentralized and Joint Resource Allocation, Beamforming, and Beamcombining for 5G Networks With Heterogeneous MARL by Ala'a Al-Habashna, Jon Menard, Gabriel Wainer, Gary Boudreau

“…Our results show that the proposed paradigm can successfully optimize the task of joint resource allocation, beamforming, and combining. …”
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Joint Optimization of UAV Placement and Resource Allocation in FDMA Wireless-Powered Sensor Networks by Omid Abachian Ghasemi, Mehdi Chehel Amirani

“…To solve it, the alternating minimization technique is used, where the problem is divided into subproblems with respect to each of the variables by fixing the others. Efficient algorithms based on the dual Lagrange method and Karush-Kuhn-Tucker (KKT) conditions are proposed for optimal transmission time scheduling and bandwidth allocation. …”
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Data Siting and Capacity Optimization of Photovoltaic–Storage–Charging Stations Considering Spatiotemporal Charging Demand by Dandan Hu, Doudou Yang, Zhi-Wei Liu

“…In the second stage, charging load results from the first stage, photovoltaic generation forecast, and electricity price are jointly considered to minimize the operator’s total cost determined by the capacity of PV and ESS, which is solved by the genetic algorithm. To validate the model, we leverage large-scale GPS trajectory data from electric taxis in Shenzhen as a data-driven source of spatiotemporal charging demand. …”
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