The NECOS Approach to End-to-End Cloud-Network Slicing as a Service

被引:22
|
作者
Clayman, Stuart [1 ]
Neto, Augusto [2 ]
Verdi, Fabio [4 ]
Correa, Sand [5 ]
Sampaio, Silvio [3 ]
Sakelariou, Ilias [6 ]
Mamatas, Lefteris [6 ]
Pasquini, Rafael [7 ]
Cardoso, Kleber [5 ]
Tusa, Francesco [1 ]
Rothenberg, Christian [8 ]
Serrat, Joan [1 ,9 ]
机构
[1] UCL, Elect & Elect Engn Dept, London, England
[2] Univ Fed Rio Grande do Norte, Informat & Appl Math Dept, Natal, RN, Brazil
[3] Univ Fed Rio Grande do Norte, Digital Metropolis Inst, Natal, RN, Brazil
[4] Univ Fed Sao Carlos, Dept Comp, Sao Carlos, Brazil
[5] Univ Fed Goias, Goiania, Go, Brazil
[6] Univ Macedonia, Dept Appl Informat, Thessaloniki, Greece
[7] Univ Fed Uberlandia, Uberlandia, MG, Brazil
[8] Univ Estadual Campinas, Campinas, Brazil
[9] Univ Politecn Cataluna, Barcelona, Spain
基金
欧盟地平线“2020”;
关键词
Network slicing; Cloud computing; Data centers; Runtime; Machine learning; Elasticity;
D O I
10.1109/MCOM.001.2000702
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
Cloud-network slicing is a promising approach to serve vertical industries delivering their services over multiple administrative and technological domains. However, there are numerous open challenges to provide end-to-end slices due to complex business and engineering requirements from service and resource providers. This article presents a reference architecture for the cloud-network slicing concept and the practical realization of the slice-as-a-service paradigm, which are key results from the Novel Enablers in Cloud Slicing (NECOS) project. The NECOS platform has been designed to consider modularity, separation of concerns, and multi-domain dynamic operation as prime attributes. The architecture comprises a set of interworking components to automatically create, manage, and decommission end-to-end cloud-network slice instances in a lightweight manner. NECOS orchestrates slices at runtime, spanning across core/edge data centers and wired/wireless network infrastructures. The novelties of the multi-domain NECOS platform are validated through three proof-of-concept experiments: (i) a touristic content delivery service slice deployment featuring on-demand virtual infrastructure management across three countries on different continents to meet particular slice requirements; (ii) intelligent slice elasticity driven by machine learning techniques; and (iii) market-place-based resource discovery capabilities.
引用
收藏
页码:91 / 97
页数:7
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