Intent-driven cloud-network convergence on-demand orchestration

Autor: Lulu ZHANG, Chungang YANG, Dong WANG, Ying OUYANG, Tong LI, Junjie GUO, Ru DONG
Jazyk: čínština
Rok vydání: 2022
Předmět:
Zdroj: Dianxin kexue, Vol 38, Pp 107-119 (2022)
Druh dokumentu: article
ISSN: 1000-0801
DOI: 10.11959/j.issn.1000-0801.2022272
Popis: With the rapid development of cloud computing and Internet technology, user service demands show a diversified development trend, and cloud-network convergence has become an important choice for the development of the current information and communication industry.At present, cloud-network convergence only achieves simple cloud-network interconnection, which can not overcome the heavy problems of diversified service demands and massive heterogeneous resource supply.Therefore, promoting cloud-network convergence still requires strengthening the on-demand delivery capability of cloud services.Intent-driven network, as a new networking paradigm, becomes a viable option to solve this dilemma.The research status of cloud-network convergence was sorted out, and the research necessity of intention-driven cloud-network convergence business on-demand orchestration was summarized.Furthermore, the intent-driven cloud-network convergence architecture and its key technologies were proposed and analyzed, and on this basis, an on-demand orchestration model of cloud business was proposed.Finally, in the hybrid cloud interconnection and industrial Internet scenarios, the intent-driven on-demand orchestration model of cloud business was analyzed, and the future prospects were introduced.
Databáze: Directory of Open Access Journals