SDN Resource Management Mechanism Based on Bilateral Market's Multi-Homed Architecture by Bin Zhuge, Li Deng, Guowei Dai, Weiming Wang, Julong Lan

“…From the SDN archiecture by analyzing the OpenDaylight project and the concept of bilateral market, a SDN resource management architecture based on bilateral market and a multi-platform selection algorithm based on the extension of FPM were proposed. …”
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SDN Resource Management Mechanism Based on Bilateral Market's Multi-Homed Architecture by Bin Zhuge, Li Deng, Guowei Dai, Weiming Wang, Julong Lan

“…From the SDN archiecture by analyzing the OpenDaylight project and the concept of bilateral market, a SDN resource management architecture based on bilateral market and a multi-platform selection algorithm based on the extension of FPM were proposed. …”
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An Improved Centralized Cognitive Radio Network Spectrum Allocation Algorithm Based on the Allocation Sequence by Jianli Zhao, Jinsha Yuan

“…However, the static spectrum allocation mechanism results in lots of free spectrum resources in space, and the spectrum is wasted. …”
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Improving Streaming Capacity in Multi-Channel P2P VoD Systems via Intra-Channel and Cross-Channel Resource Allocation by Yifeng He, Ling Guan

“…We demonstrate in the simulations that the correlated-channel P2P VoD systems with both intra-channel and cross-channel resource allocation can obtain a higher average streaming capacity compared to the independent-channel P2P VoD systems with only intra-channel resource allocation.…”
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Communication‐awareness adaptive resource scheduling strategy for multiple target tracking in a multiple radar system by Yang Su, Ziyang Cheng, Zishu He, Minglong Deng

“…Abstract In this study, a communication‐awareness adaptive resource scheduling (CARS) strategy for multiple target tracking in a multiple radar system (MRS) is proposed. …”
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Multi-resource joint management strategy for 5 G network slicing based on POMDP by Yale Li

“…Furthermore, the model employs a hybrid heuristic value iterative algorithm to optimize computational efficiency, reduce network latency, improve throughput, and enhance resource utilization. …”
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Hybrid multi objective marine predators algorithm based clustering for lightweight resource scheduling and application placement in fog by R. Baskar, E. Mohanraj

“…In this research, the Hybrid Multi-Objective Marine Predators Algorithm-based Clustering and Fog Picker (HMMPACFP) Technique is developed as a combinatorial model for tackling the problem of fog node allocation, with the goal of achieving dynamic scheduling using lightweight characteristics. …”
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An Adaptive Parameter Evolutionary Marine Predators Algorithm for Joint Resource Scheduling of Cooperative Jamming Networked Radar Systems by Dejiang Lu, Siyi Cheng, You Chen, Xi Zhang, Haoyang Li, Tianjian Yang

“…Based on the original algorithm, real number random coding is used to perform dimensional conversion of decision variables, an adaptive parameter evolution mechanism is designed to reduce the dependence on algorithm parameters, and an adaptive selection mechanism for dominant strategies and a search intensity control strategy are proposed to help decision-makers explore the optimal resource scheduling strategy quickly and accurately. …”
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Auction based bandwidth allocation mechanism for P2P content distribution networks by Yun-he ZHANG, Yan-qin ZHU, Qi-jin JI

“…Unreasonable allocation of originally scarce bandwidth was a severe problem in the P2P content distribution networks.To solve the problem and suppress the node's selfishness,an auction-based bandwidth allocation mechanism for P2P networks was proposed.Through the effective bandwidth payment scheme,the selfish nodes had no incentives to lie and provided the real bandwidth requirements.Also the “tragedy of the commons” could be avoided by the nodes' healthy bandwidth competition.To adapt to the distributed nature of the P2P networks,the algorithm was implemented in parallel at resource providing nodes and request nodes.Simulation results show that the scheme not only suppresses riding nodes efficiently in the system,but also shortens the average completion time for content distribution and decreases the ratio of data uploaded by the source server.…”
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Time deterministic routing algorithm and protocol based on time-varying graph over the space-ground integrated network by Hongyan LI, Tao ZHANG, Jingqian ZHANG, Keyi SHI, Pengcheng ZENG

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A hybrid machine learning model with self-improved optimization algorithm for trust and privacy preservation in cloud environment by Himani Saini, Gopal Singh, Sandeep Dalal, Iyyappan Moorthi, Sultan Mesfer Aldossary, Nasratullah Nuristani, Arshad Hashmi

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Multi-domain optical network virtual technology based on SDN by Shidong LIU, Pan WANG

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Reinforcement learning-based multi-model ensemble for ocean waves forecasting by Weinan Huang, Xiangrong Wu, Xiangrong Wu, Haofeng Xia, Haofeng Xia, Haofeng Xia, Xiaowen Zhu, Yijie Gong, Xuehai Sun

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Mathematical Models for Management Information Systems on Digital Platforms: from Resource Management to Demand Forecasting by Viktor Godliuk

“…Particular attention is paid to mathematical approaches to load balancing, resource allocation, and platform scalability. The application of graph theory to analyze the relationships between users, content, and services, as well as Dijkstra and Floyd-Warshell algorithms for optimal data routing, is described. …”
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Leveraging Artificial Intelligence for Smart Healthcare Management: Predicting and Reducing Patient Waiting Times with Machine Learning by Kristijan CINCAR, Todor IVAŞCU

“… The paper focuses on a machine-learning-based methodology for predictive modelling and simulation enhancement of hospital resource management. The proposed system is built on a multitude of machine-learning algorithms such as Random Forest Regression, XGBoost, Support Vector Regression (SVR), and Artificial Neural Networks (ANNs) to render accurate estimations of patient waiting times. …”
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Online English teaching resource recommendation method design based on LightGCNCSCM by Jing Tang

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Spectrum Efficient Mode Selection and Resource Allocation Optimization for D2D Communication in HetNet: A Multi-Agent Q-Learning Approach by Ali Majid Hasan Alibraheemi, Mhd Nour Hindia, Tengku Faiz Tengku Mohmed Noor Izam, Kaharudin Dimyati

“…Then, based on the allocated optimal channel, a modified MAQL algorithm is introduced to allocate the optimal power for each D2D transmitter. …”
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Edge-LLM Inference With Cost-Aware Layer Allocation and Adaptive Scheduling by Sama Habibi, Ozgur Ercetin

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Adaptive hybrid optimization for integrated project scheduling and staffing problem with time/resource trade-offs by Muhai Hu, Yao Wang, Wendi Tian

“…Experimental results demonstrate that the adaptive hybrid algorithm outperforms standalone NSGA-II and MOPSO in generating schedules and optimizing resource allocation. …”
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Resource Optimization Method Based on Spatio-Temporal Modeling in a Complex Cluster Environment for Electric Vehicle Charging Scenarios by Hongwei Wang, Wei Liu, Chenghui Wang, Kao Guo, Zihao Wang

“…In intelligent cluster systems, the spatio-temporal complexity of agent data collection and resource allocation, as well as the problems in collaborative organizations, present substantial challenges to efficient resource distribution. …”
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