Joint communication and computing resource allocation in vehicular edge computing by Jianan Sun, Qing Gu, Tao Zheng, Ping Dong, Yajuan Qin

“…Then, we study the computation offloading decision problem in this system and propose a novel multi-objective vehicular edge computing task scheduling algorithm which jointly optimizes the allocation of communication and computing resources. …”
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Robust Optimization for Integrated Construction Scheduling and Multiscale Resource Allocation by Qian Li, Sha Tao, Heap-Yih Chong, Zhijie Sasha Dong

“…This research investigates an integrated problem of construction scheduling and resource allocation. Inspired by complex construction practices, multi-time scale resources are considered for different length of terms, such as permanent staff and temporary workers. …”
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Network slicing resource allocation strategy based on joint optimization by Zaijian WANG, Huimin GU

“…To improve network resource utilization that was decreased by different applications with different requirements in 5G networks, a network slicing resource allocation strategy based on joint optimization was proposed, which was utilized to maximize both network resource utilization and network revenue by comprehensively considering in tra-slice and inter-slice resource schedule.Firstly, the user’s average satisfaction function was defined in the inter-slicing resource allocation problem.Furthermore, in terms of the number of users, slicing schedule delay and priority, a proportional fair resource allocation algorithm based on quality of service (QoS) was proposed, which was employed to achieve the best tradeoff between fairness and the users’ requirements among slices.Secondly, after two functions (service degradation and resource migration) were introduced in the inter-slice resource schedule problem, two price models were established for internal access users and external access users respectively, where congestion and non-congestion conditions were analyzed.According to the proposed price models, a Stackelberg game between the base station and users was constructed, and a global search algorithm with low complexity was leveraged to obtain the best response of the game, where the best tradeoff between the base station revenue and user utility was obtained.Simulation results show that the proposed strategy can effectively improve resource utilization and network revenue while reducing network congestion.Therefore, it can better realize fairness in resource allocation.…”
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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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Combined Allocation of Renewable-Based Distributed Generators and Shunt Capacitor Banks in Distribution Networks with Electric Vehicle Load Penetration by Abhilasha Pawar, Rajkumar Viral, Divya Asija, Mohit Bansal

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The Task of Allocating Operations to Work Centers: Modern Approaches to Cost Minimization and Efficiency Improvement under Resource Constraints by Nikolay Nikitin, Igor Ilin, Alissa Dubgorn

“…Allocation of operations to work centers is a key management task in modern production systems. …”
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Application of Optimization Algorithms in Voter Service Module Allocation by Edgar Jardón, Marcelo Romero, José-Raymundo Marcial-Romero

“…These findings align with principles of spatial justice and highlight the practical efficiency of heuristic-based solutions in administrative resource allocation. The main contribution of this study is the development and evaluation of a hybrid heuristic framework for allocating INE modules, demonstrating that combining multiple heuristics—with a genetic algorithm as the initial phase—significantly improves solution quality and computational efficiency.…”
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Resource scheduling strategy based on simulated annealing algorithm in hybrid D2D cellular networks by Xiang YU, Haibo ZHANG, Lu YANG

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Fast autoscaling algorithm for cost optimization of container clusters by José María López, Joaquín Entrialgo, Manuel García, Javier García, José Luis Díaz, Rubén Usamentiaga

“…In this paper we present FCMA (Fast Container to Machine Allocator), a resource allocation algorithm designed to calculate a suitable allocation of the resources of a cluster in autoscaling operations, to minimize cluster deployment costs. …”
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Neural Network-Based Coordinated Virtual Inertia Allocation Method for Multi-Region Distribution Systems by Heng Liu, Jingtao Zhao, Zhi Wu, Shu Zheng

“…Following this, a genetic algorithm-based solving strategy is designed to achieve the global optimal allocation of virtual inertia. …”
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A heuristic mixed real-time task allocation of virtual utilization in multi-core processor by Hongbiao Liu, Mengfei Yang, Tingyu Wang, Chenghao Song, Shenghui Zhu, Xi Chen

“…Aiming at the task allocation problem when mixed real-time tasks are dynamically added, we propose a heuristic mixed real-time task allocation algorithm of virtual utilization VU-WF (Virtual Utilization Worst Fit) in multi-core processor. …”
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Resource allocation strategy based on optimal matching auction in the enterprise network by Xin CONG, Lingling ZI, Xueli SHEN

“…To address the issue that the owners of computer are selfish in the enterprise networks,which caused the low available number of resource nodes and low efficiency of resource allocation,an optimized matching resource allocation strategy OMRA was proposed and its core was the auction mechanism.Selfishness was restrained and the number of available resources was increased by OMRA,so as the operating efficiency of the whole auction market was improved.First,the initial prices were determined by normalizing the costs of different type of resources on the beginning of auction.Secondly,an optimal matching auction algorithm was designed to maximize the interests of the auction markets.Then,service perfecting algorithm was performed such that the sellers could get more services at the current transaction value,thus ensuring the benefits of resource providers.At last,a request price updating algorithm was adopted to assurance that both sellers and buyers could get priorities in the next auction processing.Compared with the cloud resource allocating algorithm via fitness-enabled auction (CRAA/FA),the experiment results indicate that the efficiency of resource allocation improves by 10% and the benefits of market increase by 11.4%.…”
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Flexible beam scheduling and resource allocation strategies for satellite Internet of things by LI Fulin, WANG Jingchao, DONG Yanjie, WANG Wei, MA Xiao

“…The beam scheduling algorithm based on separated swarm optimization (SSO-BSA) was proposed to solve the flexible beam pointing coordinates, and an on-demand resource allocation algorithm based on service value degree (ORAA-SVD) was designed to provide flexible resource allocation for beams and IoT terminals. …”
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Adaptive resource allocation in multiuser OFDM system based on fairness threshold by ZHANG Chun-fa, ZHAO Xiao-hui

“…In traditional sub-carrier allocation process,user with the highest priority can choose best sub-carrier,which will result in low utilization of sub-carriers.Current improved algorithms can im-prove system capacity and reduce algorithm complexity by sacrificing certain fairness,but they may not achieve fairness requirement among users.In order to solve this problem,a new adaptive resource allo-cation algorithm based on fairness threshold was proposed,in which the priority of the sub-carrier allo-cation was determined by fairness threshold to achieve a rough tradeoff between capacity and fairness.Then power allocation base on particle swarm optimization（PSO） was introduced to realize the required fairness.Experimental results show that the proposed adaptive resource allocation algorithm can satisfy the fairness requirement threshold and improve system capacity.…”
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Adaptive resource allocation in multiuser OFDM system based on fairness threshold by ZHANG Chun-fa, ZHAO Xiao-hui

“…In traditional sub-carrier allocation process,user with the highest priority can choose best sub-carrier,which will result in low utilization of sub-carriers.Current improved algorithms can im-prove system capacity and reduce algorithm complexity by sacrificing certain fairness,but they may not achieve fairness requirement among users.In order to solve this problem,a new adaptive resource allo-cation algorithm based on fairness threshold was proposed,in which the priority of the sub-carrier allo-cation was determined by fairness threshold to achieve a rough tradeoff between capacity and fairness.Then power allocation base on particle swarm optimization（PSO） was introduced to realize the required fairness.Experimental results show that the proposed adaptive resource allocation algorithm can satisfy the fairness requirement threshold and improve system capacity.…”
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Resource allocation for multi-conductor power-cable carrier communications systems by XU Zhi-qiang1, ZHAI Ming-yue1, ZHAO Yu-ming2

“…Based on the measurements of cross-interfere coupling coefficient in a multi-conductor power cable, the characteristics of signal cross-interfere were analyzed. The mixed resource allocation model based on power-rate adaptation was introduced with the restrictions of power-line communications. …”
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Optimal resource allocation for two-stage connectionless access with collision detection by Xin JIAN, Fang WANG, Jian SONG, Shu FU, Xiaoheng TAN, Xiaoping ZENG

“…Connectionless access allows massive machine type communication (mMTC) devices to transmit small packets without establishment of radio bearers,significantly reducing device power consumption and control signaling overhead.Two-stage connectionless access (TSCLA) improves throughput and resource efficiency by optimally allocating resources between scheduling request (SR) phase and data transmission phase,which can be used for bigger packets and high traffic load.Based on this,a comprehensive theoretical analysis of one kind of TSCLA with collision detection was conducted to investigate its performance limit and devise its optimal resource allocation scheme.In addition,to avoid the complexity of user number estimation,a dynamic resource allocation algorithm with feedback control was proposed.Numerical results are provided to validate the effectiveness of aforementioned theoretical results and show that comparing with the genie aided algorithm known exactly the number of users,the performance loss of the proposed algorithm is within 4%.These works together provide good references for appropriate resource dimensioning for mMTC related protocols.…”
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Research on dynamic spectrum resource allocation in mobile base station networks by Ming-jie HE, Yong-jun XU, Feng WANG, Wei WU, Chao-nong XU

“…A priority policy of resource allocation for mobile base station networks was presented.In order to improve resource utilization and maintain good fairness,two resource allocation mechanisms based on graph theory were proposed.Finally,a distributed dynamic spectrum resource block allocation algorithm with low complexity was proposed.Simulation results show that the proposed algorithm has good performance.…”
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UAV spatiotemporal crowdsourcing resource allocation based on deep reinforcement learning by Yaxi LIU, Xulong LI, Jiahao HUO, Wei HUANGFU

“…We rigorously test our proposed methods in scenarios involving multiple UAVs, demonstrating the algorithm’s effectiveness in managing the spatiotemporal allocation of resources. …”
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Flexible service resource allocation model based on the maximization of social welfare by Wei YAN, Xiao-rong ZHU, Shou-ning CHEN, Shi-xiang SHAO

“…The scheduling algorithm based on flexible service was used to optimize the proposed model with considering the utility of the users, the benefits of the network and the incomes of the operators, so that the flexible service resource allocation based on the maximization of social welfare was established. …”
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