Author
Listed:
- Adeel Rafiq
(Department of Computer Engineering, Jeju National University, Jeju 63243, Korea
Current address: Network Convergence Lab (NCL), Department of Computer Engineering, Jeju National University, Jeju 63243, Korea.
These authors contributed equally to this work.)
- Asif Mehmood
(Department of Computer Engineering, Jeju National University, Jeju 63243, Korea
These authors contributed equally to this work.)
- Talha Ahmed Khan
(Department of Computer Engineering, Jeju National University, Jeju 63243, Korea
These authors contributed equally to this work.)
- Khizar Abbas
(Department of Computer Engineering, Jeju National University, Jeju 63243, Korea)
- Muhammad Afaq
(Department of Computer Engineering, Jeju National University, Jeju 63243, Korea)
- Wang-Cheol Song
(Department of Computer Engineering, Jeju National University, Jeju 63243, Korea)
Abstract
On-demand service is the main feature of the 5G network, and Network Function Virtualization (NFV) provides it by virtualizing the existing 5G network infrastructure. NFV crafts various virtual networks on a shared physical network, but one of the core challenges in future 5G networks is to automate the modeling of Virtualized Network Functions (VNFs) and end-to-end Network Service (NS) orchestration with less human interaction. Traditionally, the descriptor of VNF and NS is created manually, which requires expert-level skills. This manual approach has a big threat of human error, which can be avoided by using the Intent-Based Networking (IBN) approach. The IBN approach eliminates the requirement of expertise for designing VNFs and NS by taking users’ intentions as an input. In this paper, the proposed system presents the Intent Management System for VNF modeling and end-to-end NS orchestration for multi-platforms. This system takes the high-level information related to a specific service, configures it accordingly, and converts it into the selected platform. The proposed system is tested using Mobile Central Office Re-architected as Data Center (M-CORD) and Open-Source Management and Orchestration (OSM) orchestrators. The results section shows that the proposed system reduces the effort of the end-user in creating network slices and provides seamless end-to-end service orchestration.
Suggested Citation
Adeel Rafiq & Asif Mehmood & Talha Ahmed Khan & Khizar Abbas & Muhammad Afaq & Wang-Cheol Song, 2020.
"Intent-Based End-to-End Network Service Orchestration System for Multi-Platforms,"
Sustainability, MDPI, vol. 12(7), pages 1-20, April.
Handle:
RePEc:gam:jsusta:v:12:y:2020:i:7:p:2782-:d:339975
Download full text from publisher
Corrections
All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jsusta:v:12:y:2020:i:7:p:2782-:d:339975. See general information about how to correct material in RePEc.
If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.
We have no bibliographic references for this item. You can help adding them by using this form .
If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .
Please note that corrections may take a couple of weeks to filter through
the various RePEc services.