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    Cost optimization model for multi-cloud network based on Kubernetes by Ming GAO, Ming LIU, Yangting CHEN, Weiming WANG

    Published 2023-02-01
    “…The cloud-native scheduling system, represented by Kubernetes, is widely used by cloud tenants in a multi-cloud environment.The problem of network observation becomes more and more serious, especially the cost of network traffic across cloud and region.In Kubernetes, the eBPF technology was introduced to collect the network data features of kernel state of operating system to solve the network observation problem, and then the network data features were modeled as QAP, a combination of heuristic and stochastic optimization was used to obtain the best near optimal solution in a real-time computing scenario.This model is superior to the Kubernetes native scheduler in the cost optimization of network resources, which is based on the scheduling strategy of computing resources only, and increases the complexity of scheduling links in a controllable range, effectively reduces the cost of network resources in a multi-cloud area deployment environment.…”
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    Topology optimization applied to additive-manufactured hydrofoil wing components by Margarida Mata, Ricardo Bencatel, Elsa W. Sequeiros, Manuel F. Vieira, Jose M. Costa

    Published 2024-04-01
    “…Subsequently, nTop and Eiger software were used to optimize and prepare these components for additive manufacturing (AM), with the primary objective being weight reduction. …”
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    Structure Optimization of Cylindrical Roller Bearing based on Orthogonal Test by Jiaming Zhang, Ming Qiu, Xiaoxu Pang, Jun Ye

    Published 2022-03-01
    “…Through comprehensive balance and optimization,it is obtained that when the number of rollers,roller length,initial radial clearance and cage guide clearance are 13,6 mm,-2 μm and 1 mm respectively,the cage skidding rate is 0.29%,and the inner raceway wear rate is 5.9×10<sup>-13</sup> m<sup>3</sup>/s,which reduce the probability of skidding and abrasion failure of the bearings while ensuring the bearing life.…”
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