Optimizing resource allocation in remote healthcare via blockchain-enabled decentralized networks and spectral clustering by A. Kanimozhi, K. Vidya

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A dual scheduling framework for task and resource allocation in clouds using deep reinforcement learning by Jiahui Pan, Yi Wei, Lei Meng, Xiangxu Meng

“…The QoS-aware task allocation scheduler and the workload-aware VM auto-scaling scheduler work together to achieve efficient task scheduling and elastic resource provisioning. …”
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Joint User Association and Resource Allocation for Hierarchical Federated Learning Based on Games in Satisfaction Form by Panagiotis Charatsaris, Maria Diamanti, Symeon Papavassiliou

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Two-Stage Robust Optimization Considering the Uncertainty of Sources and Loads in Virtual Power Plants by Shixun Qi, Duo Li, Liyong Hou, Haili Wang, Li Xin, Yaojie Jin, Yuanji Cai, Mingfei Ban

“…As the proportion of new energy in VPPs continues to rise, the impacts of the uncertainty of internal new energy output and load have become increasingly significant, and the demand for flexible resources has also become more urgent. To address the challenges of system operation optimization and resource allocation caused by the integration of a large amount of renewable energy on the supply side of the energy system into VPPs and the flexible and changeable load on the demand side, this paper proposes a distributed robust optimization method that simultaneously considers the uncertainties of both the source and the load. …”
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Actor–Critic Reinforcement Learning for Throughput-Optimized Power Allocation in Energy Harvesting NOMA Relay-Assisted Networks by Faeik T. Al Rabee, Ala'Eddin Masadeh, Sharief Abdel-Razeq, Haythem Bany Salameh

“…To address these challenges, this paper proposes a novel power-allocation framework that integrates an EH-capable source node, a relay, and multiple power-domain NOMA-based users. …”
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An Automatic Tagging System Focused on Digital Resources by LEIZhiwen, HUANG Ling

“…In this paper, we proposed a novel automatic tagging system which aimed at the lack of tags about digital resources and the difficulty of extending tags This tagging system can effectively extend tags for public cultural resources we collected and other public data sets The algorithm of tagging system based on neural network and generative learning We use Latent Dirichlet Allocation (LDA) and Word2Vec to process resources and initial tags, generating the representation vectors of resources and initial tags, then use these two kinds of vector to build this automatic tagging system focused on digital resources From the results, the Precision, MRR, MAP and other indexes of this method is better than other comparison tagging methods mentioned in this paper, and it can solve the lack of tags in some cases Increasing utilization of resources…”
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Experimental Evaluation of Optimal Rate Delay and Power Allocation Algorithm in Wireless Control Networks by Muhammad Tahir, S. K. Mazumder

“…The network utility maximization (NUM) framework, widely used for wireless networks to achieve optimal resource allocation, has led to both centralized as well as distributed algorithms. …”
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Dynamic spectrum allocation for cognitive radio sensor networks based on improved genetic algorithm by Chang CAI, Yafang WANG, Bingmei MIAO, Hui JIANG

“…ISM (industrial scientific and medical) bands where wireless sensor network works faced with the shortage of spectrum resources problems.Aimed at this case,dynamic spectrum allocation in cognitive radio technology was applied in wireless sensor network.A dynamic frequency spectrum allocation scheme was proposed.The algorithm was a modified adaptive genetic algorithm which was based on graph coloring model.In addition,the objective functions of the algorithm were maximum bandwidth gains and minimum spectrum handoff,besides,in the crossover and mutation process,adaptive crossover probability and mutation probability was used instead of the fixed.Experimental results confirm that compared with the traditional genetic algorithm and color sensitive graph coloring algorithm,the proposed algorithm can achieve the expected goal of improving the spectral efficiency and reducing energy consumption.…”
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Task Similarity-Aware Cooperative Computation Offloading and Resource Allocation for Reusable Tasks in Dense MEC Systems by Hanchao Mu, Shie Wu, Pengfei He, Jiahui Chen, Wenqing Wu

“…Specifically, the proposed SCORA algorithm decomposes the original problem into three subproblems, i.e., task offloading, resource allocation, and power allocation, which are solved using a similarity-based matching offloading algorithm, a cooperative-based resources allocation algorithm, and a concave–convex procedure (CCCP)-based power allocation algorithm, respectively. …”
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Multi-user joint task offloading and resource allocation based on mobile edge computing in mining scenarios by Siqi Li, Weidong Li, Wanbo Zheng, Yunni Xia, Kunyin Guo, Qinglan Peng, Xu Li, Jiaxin Ren

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Dual time scale network slice resource allocation method based on limited memory and probability learning by Shao Feng, Sun Jun

“…At the large time scale, a finite memory learning algorithm allocates resources to each base station. …”
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Energy Efficient Radio Resource Allocation in Two-Tier Macro-Femto Cellular for Mobile Cloud Computing by Guogang Zhao, Liqiang Zhao, Kun Yang

“…An analytical model was conceived and a radio resource management algorithm based on LTE-A mobile cloud computing was designed. …”
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A Method for Trust-Based Collaborative Smart Device Selection and Resource Allocation in the Financial Internet of Things by Bo Wang, Jiesheng Wang, Mingchu Li

“…Furthermore, to address the challenge of resource allocation for trusted smart devices under constrained edge resources, a coalition game-based algorithm is proposed that considers both device activity and trust levels. …”
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Replication-Based Query Management for Resource Allocation Using Hadoop and MapReduce over Big Data by Ankit Kumar, Neeraj Varshney, Surbhi Bhatiya, Kamred Udham Singh

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Joint trajectory design and resource allocation for UAV-assisted mobile edge computing in power convergence network by Junbin Cui, Yong Wei, Jianbo Wang, Li Shang, Peng Lin

“…Following this, leveraging the alternating direction method of multipliers, we introduce the joint computation offloading and resource allocation algorithm. For the second subproblem, we utilize the successive convex approximation method to solve this non-convex problem. …”
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Multi-values discrete particle swarm optimization for cross layer resource allocation in cooperative OFDMA systems by Wei LI, Chun-lin XIONG, De-gang WANG, Xiao-ying ZHANG, Ji-bo WEI

“…In order to maximize the sum utility of all MS under per-relay power constraint(PPC), an asymptotic optimal resource allocation algorithm based on multi-values discrete particle swarm optimization (MDPSO) was pro-posed. …”
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Joint Design of Antenna Selection and Resource Allocation in Massive MIMO-Based Ultra Dense Heterogeneous Networks by Malini Balachandran, Noor Mohammed Vali Mohamad

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Energy Efficiency Optimization for UAV Distribution and Resource Allocation in NOMA and Multi-UAV Assisted Wireless Networks by Yuan Ren, Jieyu Wang, Yulong Xiao, Xuewei Zhang, Fan Jiang, Junxuan Wang, Jing Jiang, Guangyue Lu

“…The sub-problem for resource allocation is solved by the successive convex approximation and Dinkelbach methods. …”
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Hybrid Recurrent Neural Network and Decision Tree Scheduling for Energy-Efficient Resource Allocation in Cloud Computing by Sefati Seyed Salar, Vulpe Alexandru, Popovici Eduard, Fratu Octavian

“…Efficient resource allocation in cloud computing is critical for optimizing execution time, minimizing delays, and improving system reliability. …”
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Energy-efficient blockchain-IIoT with mobile edge computing: optimizing resource allocation and multi-hop offloading by Yiyi Zhang, Xueyue Xue, Xianfu Lin, Wenchang Wei, Zhicheng Su

“…To this end, this article proposes an energy-efficient blockchain-enabled IIoT integrated with MEC to optimize resource allocation and multi-hop task offloading. …”
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