A fine-grained and dynamic scaling method for service function chains-Reference-Cited by-同舟云学术

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A fine-grained and dynamic scaling method for service function chains

Published:2021-09 Issue: Volume:228 Page:107289
ISSN:0950-7051
Container-title:Knowledge-Based Systems
language:en
Short-container-title:Knowledge-Based Systems

Author:

Zhai Dong^ORCID,Meng Xiangru,Yu Zhenhua^ORCID,Hu Hang,Han Xiaoyang

Funder

National Natural Science Foundation of China

Shaanxi Province Natural Science Foundation

Foundation for Innovative Research Groups of the National Natural Science Foundation of China

Shanxi Provincial Key Research and Development Project

Publisher

Elsevier BV

Subject

Artificial Intelligence,Information Systems and Management,Management Information Systems,Software

Reference50 articles.

1. A service function chain deployment method based on network flow theory for load balance in operator networks;Han;IEEE Access,2020

2. A comprehensive survey of network function virtualization;Yi;Comput. Netw.,2018

3. Revenue-maximizing virtualized network function chain placement in dynamic environment;Xie;Future Gener. Comput. Syst.,2020

4. A comprehensive survey of service function chain provisioning approaches in SDN and NFV architecture;Kaur;Comput. Sci. Rev.,2020

5. Optimal network function virtualization and service function chaining: A survey;Mirjalily;Chin. J. Electron.,2018

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3. HyScaler: A Dynamic, Hybrid VNF Scaling System for Building Elastic Service Function Chains Across Multiple Servers;IEEE Transactions on Network and Service Management;2023-12

4. Evaluating the Availability of Service Function Chain under Different Elasticity Strategies Based on Colored Petri Net;2023 IEEE 23rd International Conference on Software Quality, Reliability, and Security (QRS);2023-10-22

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