We use cookies to improve your experience with our site.

Indexed in:

SCIE, EI, Scopus, INSPEC, DBLP, CSCD, etc.

Submission System
(Author / Reviewer / Editor)
Shuo Quan, Shen Gao, Jian-song Zhang, Jie Wu. Virtualization, Cloudification, and Service Orientation of Network: A Systematic Review[J]. Journal of Computer Science and Technology. DOI: 10.1007/s11390-024-4817-6
Citation: Shuo Quan, Shen Gao, Jian-song Zhang, Jie Wu. Virtualization, Cloudification, and Service Orientation of Network: A Systematic Review[J]. Journal of Computer Science and Technology. DOI: 10.1007/s11390-024-4817-6

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

More Information
  • Received Date: September 10, 2024
  • Revised Date: November 06, 2024
  • Accepted Date: December 03, 2024
  • Innovations in new applications and technological advancements are driving the evolution of network architectures towards greater flexibility and automation. Network Function Virtualization (NFV) deploys Network Functions (NFs) as software applications onto cloud infrastructure, redefining the development, deployment, and operation models of communication networks, thereby meeting the evolving demands of the network. However, after more than a decade of development, the achievements and actual benefits that global operators have achieved in NFV are not on par, partly because some key technologies have not yet been resolved. To accelerate the large-scale commercial use of NFV, this paper focuses on reviewing relevant literature from the past five years. Based on the application in practice and insights into future trends, we comb through the three directions of network virtualization, cloudification, and 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 look forward to the future direction of technological development.
  • Related Articles

    [1]FENG Jing, MA Xiaojun, GU Boxuan, GU Guanqun. An Aided Tool for Enterprise Network Design[J]. Journal of Computer Science and Technology, 2000, 15(5): 491-497.
    [2]GUO Qingping, Yakup Paker, ZHANG Shesheng, Dennis Parkinson, WEI Jianing. Optimum Tactics of Parallel Multi-Grid Algorithm with Virtual Boundary Forecast Method Running on a Local Network with the PVM Platform[J]. Journal of Computer Science and Technology, 2000, 15(4): 355-359.
    [3]FEI Xiang, HE Xiaoyan, LUO Junzhou, WU Jieyi, GU Guanqun. Fuzzy Neural Network Based Traffic Prediction and Congestion Control in High-Speed Networks[J]. Journal of Computer Science and Technology, 2000, 15(2): 144-149.
    [4]LUO Junzhou, GU Guanqun, FEI Xiang. An Architectural Model for Intelligent Network Management[J]. Journal of Computer Science and Technology, 2000, 15(2): 136-143.
    [5]Zhou Jingzhou. A Neural Network Model Based on Logical Operations[J]. Journal of Computer Science and Technology, 1998, 13(5): 464-470.
    [6]Hou Zhengfeng. A Topology Designing System for a Computer Network[J]. Journal of Computer Science and Technology, 1998, 13(1): 91-96.
    [7]Qin Kaihuai. Neural Network Methods for NURBS Curve and Surface Interpolation[J]. Journal of Computer Science and Technology, 1997, 12(1): 76-89.
    [8]Wei Naihong, Yang Shiyuan, Tong Shibai. A Neural Network Appraoch to Fault Diagnosis in Analog Circuits[J]. Journal of Computer Science and Technology, 1996, 11(6): 542-550.
    [9]Zhang Bo, Zhang Ling. The Complexity of Recognition in the Single-Layered PLN Network with Feedback Connections[J]. Journal of Computer Science and Technology, 1993, 8(4): 31-35.
    [10]Zhang Bo, Zhang Ling. On Memory Capacity of the Probabilistic Logic Neuron Network[J]. Journal of Computer Science and Technology, 1993, 8(3): 62-66.
  • Others

Catalog

    Article views (82) PDF downloads (16) Cited by()
    Related

    /

    DownLoad:  Full-Size Img  PowerPoint
    Return
    Return