DRIVE: Dynamic Resource Introspection and VNF Embedding for 5G Using Machine Learning
DRIVE: Dynamic Resource Introspection and VNF Embedding for 5G Using Machine Learning
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DOI：
10.1109/jiot.2023.3235382
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发表时间：
2023-11
影响因子：
10.6
通讯作者：
Deborsi Basu;Soumyadeep Kal;Uttam Ghosh;R. Datta
中科院分区：
文献类型：
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作者：
Deborsi Basu;Soumyadeep Kal;Uttam Ghosh;R. Datta
网络切片（NS）技术正在全面重塑下一代通信网络（例如5G、6G）。软件定义网络 (SDN) 和网络功能虚拟化 (NFV) 主要控制 NS 上的服务功能流，以根据用户需求合并多功能应用程序。在虚拟化SDN (vSDN) 环境中，多个互联网服务提供商(ISP) 同时在服务功能链(SFC) 上安装一系列明确定义的虚拟网络功能(VNF)。在SFC上生成、分配、重新分配、释放和销毁关联VNF是一项极其困难的任务，同时要保持较高的选择精度。为了解决这个基本问题，在这项工作中，我们提出了一种多层 SFC 结构，用于动态切片上的自适应 VNF 分配。我们制定了 ILP 来解决真实网络拓扑（AT&T 拓扑）上的 VNF 嵌入和分配问题 (VNF-EAP)。利用机器学习技术，我们展示了一种智能 VNF 选择机制来优化资源利用率。性能评估显示，通过将资源使用量减半，ML 驱动的动态 VNF 选择相对于 SFC 上的静态分配具有显着的效率。此外，我们还研究了灾难管理活动领域中停电切片服务备份的VNF类型转换技术。
The network slicing (NS) technique is comprehensively reshaping the next-generation communication networks (e.g., 5G and 6G). Software-defined networking (SDN) and network functions virtualization (NFV) predominantly control the flow of service functions on NS to incorporate versatile applications as per user demands. In the virtualized-SDN (vSDN) environment, a chain of well-defined virtual network functions (VNFs) are installed on service function chains (SFCs) by multiple Internet service providers (ISPs) concurrently. Generation, allocation, reallocation, release, and destroying associative VNFs on SFC is an extremely difficult task while keeping high selection accuracy. Toward solving this fundamental issue, in this work, we have proposed a multilayered SFC formation for adaptive VNF allocation on dynamic slices. We have formulated an ILP to address the VNF-embedding and allocation problem (VNF-EAP) over real network topology (AT&T Topology). Leveraging machine learning techniques we have shown an intelligent VNF selection mechanism to optimize resource utilization. The performance evaluation shows remarkable efficiency on ML-driven dynamic VNF selections over static allocations on SFCs by halving resource usage. Further, we have also studied a VNF typecasting technique for service backup on outage slices in the field of disaster management activities.