Virtualization, Cloudification, and Service Orientation of Network: A Systematic Review

Shuo Quan; Shen Gao; Jian-Song Zhang; Jie Wu

doi:10.1007/s11390-024-4817-6

Volume 40 Issue 3

July 2025

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Journal of Computer Science and Technology > 2025 > 40(3): 701-730. > DOI: 10.1007/s11390-024-4817-6 CSTR: 32374.14.s11390-024-4817-6

Quan S, Gao S, Zhang JS et al. Virtualization, cloudification, and service orientation of network: A systematic review. JOURNAL OF COMPUTER SCIENCE AND TECHNOLOGY, 40(3): 701−730, May 2025. DOI: 10.1007/s11390-024-4817-6

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Virtualization, Cloudification, and Service Orientation of Network: A Systematic Review

Shuo Quan^1, (全硕) Member, CCF, ACM,
Shen Gao^1, (高深) Member, CCF,
Jian-Song Zhang^1, (张健松) Member, CCF,
Jie Wu^{1, 2,} Fellow, CCF, IEEE

1.
Cloud Computing Research Institute, China Telecom, Beijing 100191, China
2.
Department of Computer and Information Sciences, Temple University, Philadelphia, PA 19122, U.S.A.

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Author Bio:
Shuo Quan received his Bachelor’s and Master’s degrees in software engineering from Beijing University of Posts and Telecommunications, Beijing, in 2013 and 2016, respectively. He is a researcher at China Telecom Cloud Computing Research Institute, Beijing. His research interests include cloud computing, networking and communication systems, cloud network convergence, cloud-native and virtualization, etc

Shen Gao received his Bachelor’s degree in computer science and technology from Tianjin University, Tianjin, in 2016, and his Master’s degree in computer science from the Illinois Institute of Technology, Illinois, in 2018. He is currently employed at the China Telecom Cloud Computing Research Institute, Beijing. His research interests include NFV, cloud computing, and 5G

Jian-Song Zhang received his Bachelor’s and Master’s degrees in automation from Tsinghua University, Beijing, in 2004 and 2006, respectively, and his Ph.D. degree in computer science and engineering from the Hong Kong University of Science and Technology, Hong Kong, in 2014. Currently, he is a senior researcher in China Telecom. His research interests include cloud computing, networking and communication systems, computer architecture and heterogeneous computing, ubiquitous computing, and vehicle computing, etc

Jie Wu is Laura H. Carnell Professor at Temple University and the Director of the Center for Networked Computing (CNC), Temple University, Philadelphia. His current research interests include mobile computing and wireless networks, routing protocols, network trust and security, distributed algorithms, applied machine learning, and cloud computing. Currently, Dr. Wu is on leave working at China Telecom as a scientist in cloud computing
Received Date: September 10, 2024
Accepted Date: December 03, 2024

Abstract

Abstract

Innovations in new applications and technological advancements are driving the evolution of network architectures towards flexibility and automation. Network Function Virtualization (NFV) deploys Network Functions (NFs) as software applications onto cloud infrastructures, redefining the development, deployment, and operation models of communication networks, thereby meeting the evolution demands of networks. However, after more than a decade of development, the progress of network service operators in NFV has not met expectations, partly because some key technologies remain unresolved. To accelerate the large-scale commercial use of NFV, this paper focuses on reviewing relevant literature from the past five years. Based on practical applications and insights into future trends, we explore the three directions of network virtualization, network cloudification, and network service orientation. We investigate the most representative technologies and the latest research progress in these fields, analyze the current problems and challenges, and provide corresponding suggestions on how to deal with them. Finally, we forecast future directions of technological development.
- network function virtualization,
- network virtualization,
- network cloudification,
- network service orientation

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References (110)

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