Cost optimization model for multi-cloud network based on Kubernetes
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 introduc...
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| Format: | Article |
| Language: | zho |
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Beijing Xintong Media Co., Ltd
2023-02-01
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| Series: | Dianxin kexue |
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| Online Access: | http://www.telecomsci.com/zh/article/doi/10.11959/j.issn.1000-0801.2023028/ |
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| author | Ming GAO Ming LIU Yangting CHEN Weiming WANG |
| author_facet | Ming GAO Ming LIU Yangting CHEN Weiming WANG |
| author_sort | Ming GAO |
| collection | DOAJ |
| description | 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. |
| format | Article |
| id | doaj-art-7789a6a30fd24b4e92325fc95cc5a467 |
| institution | Kabale University |
| issn | 1000-0801 |
| language | zho |
| publishDate | 2023-02-01 |
| publisher | Beijing Xintong Media Co., Ltd |
| record_format | Article |
| series | Dianxin kexue |
| spelling | doaj-art-7789a6a30fd24b4e92325fc95cc5a4672025-01-15T02:59:03ZzhoBeijing Xintong Media Co., LtdDianxin kexue1000-08012023-02-0139718259570564Cost optimization model for multi-cloud network based on KubernetesMing GAOMing LIUYangting CHENWeiming WANGThe 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.http://www.telecomsci.com/zh/article/doi/10.11959/j.issn.1000-0801.2023028/KuberneteseBPFmulti-cloud networkquadratic assignment problem |
| spellingShingle | Ming GAO Ming LIU Yangting CHEN Weiming WANG Cost optimization model for multi-cloud network based on Kubernetes Dianxin kexue Kubernetes eBPF multi-cloud network quadratic assignment problem |
| title | Cost optimization model for multi-cloud network based on Kubernetes |
| title_full | Cost optimization model for multi-cloud network based on Kubernetes |
| title_fullStr | Cost optimization model for multi-cloud network based on Kubernetes |
| title_full_unstemmed | Cost optimization model for multi-cloud network based on Kubernetes |
| title_short | Cost optimization model for multi-cloud network based on Kubernetes |
| title_sort | cost optimization model for multi cloud network based on kubernetes |
| topic | Kubernetes eBPF multi-cloud network quadratic assignment problem |
| url | http://www.telecomsci.com/zh/article/doi/10.11959/j.issn.1000-0801.2023028/ |
| work_keys_str_mv | AT minggao costoptimizationmodelformulticloudnetworkbasedonkubernetes AT mingliu costoptimizationmodelformulticloudnetworkbasedonkubernetes AT yangtingchen costoptimizationmodelformulticloudnetworkbasedonkubernetes AT weimingwang costoptimizationmodelformulticloudnetworkbasedonkubernetes |