Service Function Chain Deployment for 5G Delay-Sensitive Network Slicing

Zhao, Yujing; Shen, Jing; Wang, Qi; Zheng, Sheng; Xie, Kunyi; Gao, Jing; Feng, Lei

doi:10.1109/iwcmc51323.2021.9498799

Cited by 3 publications

(2 citation statements)

References 15 publications

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“…The 30-35 year average on the S&P Index that occurred during the late 1970's is expected to only be 15-20 years during the 2020's (Viguerie, Calder, Hindo, 2021). A signal might be airlines' concern about 5G use (Shepardson, 2021). Another might be the conversion of office buildings into residential units (Cockrell, 2021).…”

Section: Economicmentioning

confidence: 99%

New Models of Higher Education

Davis¹

2020

The SAGE Encyclopedia of Higher Education

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There are certain policy barriers that are preventing alternative credentials from fully maturing in the national discourse in the way that academic degrees have. This chapter will review three primary areas of policy concern: quality assurance and accountability, financial policy, and standards of documentation and interoperability. This chapter calls for the establishment of universal quality and accountability policy and mechanisms, opening more financing opportunities so that workers may have increased access to lifelong skills development, developing a unified way to document learning experiences across institutions, and forging a common currency that allows for interoperability of learners' credentials. Policy improvements for alternative credentials will help serve to further legitimize them in the public eye, improve their educational outcomes, and perhaps most importantly, enable a more coherent vision for alternative credentials as a central pillar of a national educational attainment strategy.

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Section: Economicmentioning

confidence: 99%

New Models of Higher Education

Davis¹

2020

The SAGE Encyclopedia of Higher Education

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“…There has been extensive research on optimizing the delay of SFC. On the one hand, studies have been conducted to reduce processing, queuing, and forwarding delay by examining the limitations of device performance and network capacity, but the potential for improvement using this approach is limited [21]. On the other hand, various algorithms have been proposed to deploy and schedule SFC to reduce delay [22].…”

Section: Introductionmentioning

confidence: 99%

Intelligent Deployment of Delay-Sensitive Service Function Chain Based on Parallelization and Improved Cuckoo Search Algorithm

Zhao,

Kang,

Wang

et al. 2023

Wireless Communications and Mobile Computing

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As one of the key focuses in 6G research, the space–air–ground integrated network incorporates a variety of technological frameworks. Network function virtualization allows network functions to be deployed on general servers in the form of software and creates a service function chain (SFC) according to user service requirements. In recent years, the deployment of SFC has become popular research due to the increasing demand for low delay in network application scenarios. Low delay is a crucial indicator of the quality of service, especially for delay-sensitive applications. To address this issue, we propose a method for the deployment of delay-sensitive SFC based on parallelization and the improved cuckoo search (ICS) algorithm (DDSSFC-PICS). This method optimizes the composition and deployment of SFC jointly. First, the serial structure of the SFC is transformed into a parallel structure by determining the dependency of virtual network functions, which reduces the length of the SFC and thereby reduces delay. Second, with the optimization goal of minimizing network delay, a parallel SFC deployment model is established under constraints including packet loss rate and resource availability. Finally, the ICS algorithm is applied for optimization, where delay is used as the fitness measure. By improving the Lévy flight step size and drawing inspiration from the whale algorithm, the performance of the cuckoo search (CS) algorithm is enhanced, leading to a further reduction in delay. The simulation results show that using the same CS deployment method, parallelized SFC has a significantly lower delay compared to serial SFC. Furthermore, the DDSSFC-PICS reduces the delay by 22.58% and 19.02%, respectively, compared with the CS deployment and particle swarm optimization SFC deployment methods.

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