The Modeling and Analysis of the Extensible Network Service Model

Autor: Xiaowei Cui, Zuqin Ji, De-Lin Ding, Jun Shen
Jazyk: angličtina
Rok vydání: 2018
Předmět:
Zdroj: IEEE Access, Vol 6, Pp 7301-7309 (2018)
ISSN: 2169-3536
Popis: With the increasing number of new application requirements in network, the capability of providing services in traditional network is being challenged constantly. The network service model, which is the core of the network architecture, directly determines the capability of providing network services. However, there lacks the explicit service model about the research of the next generation network architectures. We propose the extensible network service model (ENSM). In this paper, the basic principle of the ENSM is summarized. Then the mathematical modeling of the ENSM is provided and, based on the mathematical modeling, we analyze the functional description and the performance calculation for composite services when a service composition instance is implemented. Finally, through the experimental modeling and the simulation, the performances of the ENSM are compared with those of the traditional network when providing the same service. The experimental results show that the services can be customized or composed flexibly without sacrificing the performances in the extensible network service model. It can also be seen that the model can implement service extension better and the model idea is correct.
Databáze: OpenAIRE