KMS Of Academy of mathematics and systems sciences, CAS
| Optimal Virtual Network Function Deployment for 5G Network Slicing in a Hybrid Cloud Infrastructure | |
| De Domenico, Antonio1,2; Liu, Ya-Feng3; Yu, Wei4 | |
| 2020-12-01 | |
| Source Publication | IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS
 |
| ISSN | 1536-1276 |
| Volume | 19Issue:12Pages:7942-7956 |
| Abstract | Network virtualization is a key enabler for 5G systems to support the expected use cases of vertical markets. In this context, we study the joint optimal deployment of Virtual Network Functions (VNFs) and allocation of computational resources in a hybrid cloud infrastructure by taking the requirements of the 5G services and the characteristics of the cloud architecture into consideration. The resulting mixed-integer problem is reformulated as an integer linear problem, which can be solved by using a standard solver. Our results underline the advantages of a hybrid infrastructure over a standard cloud radio access network consisting only of a central cloud, and show that the proposed mechanism to deploy VNF chains leads to high resource utilization efficiency and large gains in terms of the number of supported VNF chains. To deal with the computational complexity of optimizing a large number of clouds and VNF chains, we propose a simple low-complexity heuristic that attempts to find a feasible VNF deployment solution with a limited number of functional splits. Numerical results indicate that the performance of the proposed heuristic is close to the optimal one when the edge clouds are well dimensioned with respect to the computational requirements of the 5G services. |
| Keyword | Cloud computing 5G mobile communication Computer architecture Resource management Radio access networks Wireless communication 5G mobile communication network function virtualization (NFV) network slicing integer linear programming (ILP) |
| DOI | 10.1109/TWC.2020.3017628 |
| Indexed By | SCI |
| Language | 英语 |
| Funding Project | EU ; National Natural Science Foundation of China (NSFC)[11688101] ; National Natural Science Foundation of China (NSFC)[11671419] ; National Natural Science Foundation of China (NSFC)[11631013] ; Natural Sciences and Engineering Research Council (NSERC) of Canada via the Canada Research Chairs program |
| WOS Research Area | Engineering ; Telecommunications |
| WOS Subject | Engineering, Electrical & Electronic ; Telecommunications |
| WOS ID | WOS:000597156900009 |
| Publisher | IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC |
| Citation statistics | |
| Document Type | 期刊论文 |
| Identifier | http://ir.amss.ac.cn/handle/2S8OKBNM/57787 |
| Collection | 中国科学院数学与系统科学研究院 |
| Corresponding Author | De Domenico, Antonio |
| Affiliation | 1.CEA LETI, Grenoble, France 2.Huawei Technol, Paris Res Ctr, F-92100 Boulogne Billancourt, France 3.Chinese Acad Sci, State Key Lab Sci & Engn Comp, Inst Computat Math & Sci Engn Comp, Acad Math & Syst Sci, Beijing 100190, Peoples R China 4.Univ Toronto, Dept Elect & Comp Engn, Toronto, ON M5S 3G4, Canada |
| Recommended Citation GB/T 7714 | De Domenico, Antonio,Liu, Ya-Feng,Yu, Wei. Optimal Virtual Network Function Deployment for 5G Network Slicing in a Hybrid Cloud Infrastructure[J]. IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS,2020,19(12):7942-7956. |
| APA | De Domenico, Antonio,Liu, Ya-Feng,&Yu, Wei.(2020).Optimal Virtual Network Function Deployment for 5G Network Slicing in a Hybrid Cloud Infrastructure.IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS,19(12),7942-7956. |
| MLA | De Domenico, Antonio,et al."Optimal Virtual Network Function Deployment for 5G Network Slicing in a Hybrid Cloud Infrastructure".IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS 19.12(2020):7942-7956. |
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