DEVELOPMENT OF THE METHODS FOR RESOURCE REALLOCATION IN CLOUD COMPUTING SYSTEMS by Viacheslav Davydov, Daryna Hrebeniuk

“…On the basis of the conducted analytical study, the necessity of improving the existing methods of resource reallocation has been proved. A method and an algorithm for computing resources reallocation within cloud computing systems have been developed. …”
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Efficient Resources Provisioning Based on Load Forecasting in Cloud by Rongdong Hu, Jingfei Jiang, Guangming Liu, Lixin Wang

“…Cloud providers should ensure QoS while maximizing resources utilization. One optimal strategy is to timely allocate resources in a fine-grained mode according to application’s actual resources demand. …”
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Resource Efficient and Robust RSMA for Visible Light Communications by Jianfei Hu, Chen Sun, Jiaheng Wang, Xiqi Gao, Liang Xia, Qixing Wang

“…Numerical results indicate that the proposed resource efficient RSMA algorithm achieves the tradeoff between EE and SE.…”
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Spectrum allocation algorithm of elastic optical networks in power distribution system by Biyou ZHAO, Shanhui ZHANG, Jinshuai WANG

“…In order to effectively improve the resource utilization of information transmission network in reality,the spectrum allocation problem in flexible optical network in smart grid environment was analyzed,and a spectrum allocation method was proposed.Combining the advantages of genetic algorithm and ant colony algorithm,the genetic algorithm was used to generate the initial solution.Finally,the optimal solution of the spectrum allocation problem was obtained by the characteristics of positive feedback of ant colony algorithm and efficient convergence.The performance of the optimization algorithm mentioned was verified by software simulation.The proposed algorithm can optimize the use of idle spectrum resources to meet the needs of mass data transmission in distribution network,and improve the reliability of distribution network communication system,which is of great significance to the safe and reliable operation of smart grid.…”
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Adaptive bandwidth allocation algorithm based on the multi-threshold reservation mechanism by Geng CHEN, Wei-wei XIA, Lian-feng SHEN

“…An adaptive bandwidth allocation algorithm based on multi-threshold reservation mechanism is proposed to guarantee the quality of service (QoS) of multi-services in heterogeneous wireless networks.With the bandwidth reserva-tion mechanism by setting multi-threshold in each network for every traffic,the adaptive bandwidth allocation scheme according to the transmission rate levels requirements for traffic k and the network status can be formulated as an optimal problem with the constraints of the bandwidth allocation matrix for each traffic and all users based on the multi-homing technology.A procedure of the iterative method is presented to solve the optimal problem of the formulated adaptive bandwidth allocation scheme.The optimized bandwidth allocation matrixes for traffics and for all users are obtained for the real-time network throughput maximization under bandwidth reserving thresholds and network capacity constrains and the bandwidth resource utilization efficiency of heterogeneous wireless network can be increased.Numerical simula-tion results show that the proposed algorithm can support QoS requiring transmission rate grades,decrease the new call blocking probability,increase the average user access rate and improve the network throughput of the heterogeneous wireless network by 40% to the largest extent.…”
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Allocation algorithms for multicore partitioned mixed-criticality real-time systems by Luis Ortiz, Ana Guasque, Patricia Balbastre, José Simó

“…This is achieved through the implementation of a Mixed-Integer Linear Programming (MILP) algorithm. The second phase involves the allocation of tasks to cores, employing both, an additional MILP algorithm and a modified worst fit decrease utilisation approach. …”
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SPEEDING ALGORITHM FOR MINIMAX OPTIMIZATION OF ALLOCATION PROBLEM SOLUTIONS IN HOMOGENEOUS SYSTEMS by Rudolf Anatolyevich Neydorf, Artem Alexandrovich Zhikulin

“…(Such problems cannot be solved by the classical algorithm due to the limited timing budgets.) The results of processing these solutions have shown that the new modification does not solve the problem of NP-complete allocation tasks, but it provides a resource-time gain associated with the significant reduction in the exponential model index of the average solution time.…”
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Hierarchical Resource Management for Mega-LEO Satellite Constellation by Liang Gou, Dongming Bian, Yulei Nie, Gengxin Zhang, Hongwei Zhou, Yulin Shi, Lei Zhang

“…This paper addresses the challenge of effectively allocating system resources based on service and resource distribution, particularly in hotspot areas where user demand is concentrated, to enhance resource utilization efficiency. …”
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Adaptive Radio Access Technology Selection Algorithm for Heterogeneous Wireless Networks by Folashade Olamide Ariba, Festus Kehinde Ojo, Zachaeus Adeyemo

“…The proposed algorithm resulted in the call blocking probability reduction by 0.03 for GERAN and 0.14 for UTRAN as validated with the existing algorithm based on load balancing, service-based and priority-based. …”
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Resource-Optimized Grouping Shadow for Efficient Energy Estimation by Min Li, Mao Lin, Matthew J. S. Beach

“…The accurate and efficient energy estimation of quantum Hamiltonians consisting of Pauli observables is an essential task in modern quantum computing. We introduce a Resource-Optimized Grouping Shadow (ROGS) algorithm, which optimally allocates measurement resources by minimizing the estimation error bound through a novel overlapped grouping strategy and convex optimization. …”
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Interference-Aware AAV-TBS Coordinated NOMA: Joint User Scheduling, Power Allocation and Trajectory Design by Haiyong Zeng, Rui Zhang, Xu Zhu, Yufei Jiang, Zhongxiang Wei, Fu-Chun Zheng

“…We propose an autonomous aerial vehicle (AAV)-terrestrial base station (TBS) coordinated non-orthogonal multiple access (NOMA) scheme where AAV as an air BS coordinates with TBS to serve the users at cell edge via coordinated multi-point, and investigate its resource allocation problem for interference management and system performance enhancement. …”
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Dynamic hierarchy resource management for heterogeneous cognitive network by Juan WEN, Min SHENG, Yan ZHANG

“…A dynamic hierarchy resource management approach-DHRM based on intelligent prediction was proposed for heterogeneous cognitive network.In DHRM,according to different time scale,the method of wavelet neural network,wiener prediction and reinforcement learning were brought to get the variation of traffic d ion,the resource requirement of the handover calls,and the information of users’preferences,and available hierarchical resources of all networks were allocated flexibly.Multi-attribute decision making method,based on network status and user preference was used to make decision to dynamically assign network traffic flow to the most appropriate network.Simulation results show that,the system capacity is improved about 20% by DHRM compared with the other joint radio resource management algorithms.…”
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Improved genetic algorithm based on rule optimization strategy for fibre allocation by Feng Tan, Zhipeng Yuan, Yong Zhang, Sheng Tang, Feng Guo, Shuai Zhang

“…Comparative simulations with the unimproved genetic algorithm and a stepwise greedy algorithm underscore the superiority of the improved genetic algorithm in resolving the fibre allocation problem.…”
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A Markov decision optimization of medical service resources for two-class patient queues in emergency departments via particle swarm optimization algorithm by Chia-Hung Wang, Rong Tian, Kun Hu, Yu-Tin Chen, Tien-Hsiung Ku

“…This paper focuses on the issue of ED resource allocation and designs a priority sorting system for ED patients. …”
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UAV Onboard STAR-RIS Service Enhancement Mechanism Based on Deep Reinforcement Learning by Junjie Yan, Yichen Xu, Haohao Yuan, Chunhua Xue

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SELECTIVE-PERMUTATIONAL METHOD FOR SOLVING PROBLEMS ON PARALLEL DISTRIBUTION OF TASKS AMONG PERFORMERS: SINGLE PERMUTATIONS by Rudolf A. Neydorf

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End-to-end throughput evaluation model and optimization method for dual-mode mesh network by SU Zhan, WEN Bo, ZHU Xiaorong

“…The simulation results show that the network throughput of dual-mode communication is at least 50% higher than that of the single mode communication. The proposed resource allocation algorithm improves throughput by 10% compared with traditional resource allocation algorithms. …”
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THEORETICAL AND METHODOLOGICAL PRINCIPLES OF APPLICATION OF AGENT-ORIENTED APPROACH TO MODELING PROCESSES OF LOCAL HROMADAS by Yevgen Kotukh, Maryna Riabokin

“…The study explores the potential of MAS in solving practical problems such as resource allocation optimization, strategic planning for sustainable development, and strengthening resilience to crises. …”
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Analysis of disease severity and mortality prediction using machine learning during COVID-19 by Hodjat (Hojatollah) Hamidi, Mostafa Moradi

“…This study helps healthcare centers and hospitals prioritize the allocation of medical resources based on the severity of patients' conditions and predict their chances of survival. …”
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Predicting patient risk of leaving without being seen using machine learning: a retrospective study in a single overcrowded emergency department by Arianna Scala, Teresa Angela Trunfio, Massimo Majolo, Michelangelo Chiacchio, Giuseppe Russo, Paolo Montuori, Giovanni Improta

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