Recent developments in networking and services technologies increased number of choices for users and complexity of networks and services. At the same time, there is substantial effort in the industry to enhance user experiences with services. The enhancement of user experiences is tightly coupled with mapping of user intents to services by shielding customers from the complexity and automating management processes involved in ordering and delivering services. The mapping is an iterative process. Its accuracy is expected to be improved as Service Providers gain experience with the process. Automating management processes in a management infrastructure with non-virtualized OSSs (Operating Support Systems) is lengthy and difficult. Virtualization and artificial intelligence/machine learning (AI/ML) techniques accelerate the automation greatly. The automation improves not only user experiences with services, but also the management of networks and applications by network administrators. This paper will describe user intents, a method for mapping user intents to connectivity and cloud services, and the design process, with examples. The concepts and methods described here are expected to be used by consumers and administrators of networks and applications forming services. The intents and their mappings can be expanded for each service by adding unique capabilities and attributes for connectivity and application options of a given service.
| Published in | Advances in Networks (Volume 9, Issue 1) |
| DOI | 10.11648/j.net.20210901.12 |
| Page(s) | 19-22 |
| Creative Commons |
This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited. |
| Copyright |
Copyright © The Author(s), 2021. Published by Science Publishing Group |
Networks, Services, Intent-based, Cloud, Mapping
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| [4] | ITU-T Technical Report 2020, “FGNET2030 Architecture Framework”, July 2020. |
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| [7] | MEF, “MEF 61.1 IP Service Attributes”, May 2019. https://www.mef.net/service-standards/underlay/ip/ |
| [8] | M. Toy, “MEF76 Business Requirements and Use Cases for Access E-Line Service Control”, April 2019. https://wiki.mef.net/display/LSO/Interlude+-+Access+E-Line+Service+Control+Contributions?preview=%2F61965271%2F88998011%2FMEF+76+Letter+Ballot.doc |
| [9] | M. Toy, “MEFw76 Business Requirements and Use Cases for Service Control”, January 2020. L76040_005_MEF-W76-WD4.3-verizon-mtoy_Toy.pdf https://wiki.mef.net/pages/viewpage.action?pageId=121976548 |
| [10] | K. Abbas, M. Afaq, T. A. Khan, A. Rafiq and W. Song, “Slicing the Core Network and Radio Access Network Domains through Intent-Based Networking for 5G Networks” Electronics, 18 October 2020. |
| [11] | M. Beshley; A. Pryslupskyi; O. Panchenko; H. Beshley “SDN/Cloud Solutions for Intent-Based Networking”, 2019 3rd International Conference on Advanced Information and Communications Technologies (AICT). |
| [12] | K. M. McBride, L. Tree, A. Jones, J. McManus, W. O ' Brien, Jr., C. M. Olson, “INTENT - BASED SERVICES. |
| [13] | ORCHESTRATION”, US Patent US 9, 882, 833 B2, Jan. 30, 2018. |
| [14] | A. Mathew, “Artificial Intelligence for Intent Based Networking”, International Journal of Computer Science Trends and Technology (IJCST) – Volume 8 Issue 2, Mar-Apr 2020. |
| [15] | T. A. Khan, A. Mehmood, J. J. D. Ravera; A. Muhammad; K. Abbas; W. Song, “ Intent-Based Orchestration of Network Slices and Resource Assurance using Machine Learning”, NOMS 2020 - 2020 IEEE/IFIP Network Operations and Management Symposium, 20-24 April 2020. |
| [16] | J. Baranda, J. Mangues-Bafalluy; E. Zeydan, L. Vettori; R. Martínez, Xi Li, A. Garcia-Saavedra; C. F. Chiasserini, “ On the Integration of AI/ML-based scaling operations in the 5Growth platform”, 2020 IEEE Conference on Network Function Virtualization and Software Defined Networks (NFV-SDN), 10-12 Nov. 2020. |
APA Style
Mehmet Toy. (2021). Intent-based Networking for Connectivity and Cloud Services. Advances in Networks, 9(1), 19-22. https://doi.org/10.11648/j.net.20210901.12
ACS Style
Mehmet Toy. Intent-based Networking for Connectivity and Cloud Services. Adv. Netw. 2021, 9(1), 19-22. doi: 10.11648/j.net.20210901.12
AMA Style
Mehmet Toy. Intent-based Networking for Connectivity and Cloud Services. Adv Netw. 2021;9(1):19-22. doi: 10.11648/j.net.20210901.12
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Download@article{10.11648/j.net.20210901.12,
author = {Mehmet Toy},
title = {Intent-based Networking for Connectivity and Cloud Services},
journal = {Advances in Networks},
volume = {9},
number = {1},
pages = {19-22},
doi = {10.11648/j.net.20210901.12},
url = {https://doi.org/10.11648/j.net.20210901.12},
eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.net.20210901.12},
abstract = {Recent developments in networking and services technologies increased number of choices for users and complexity of networks and services. At the same time, there is substantial effort in the industry to enhance user experiences with services. The enhancement of user experiences is tightly coupled with mapping of user intents to services by shielding customers from the complexity and automating management processes involved in ordering and delivering services. The mapping is an iterative process. Its accuracy is expected to be improved as Service Providers gain experience with the process. Automating management processes in a management infrastructure with non-virtualized OSSs (Operating Support Systems) is lengthy and difficult. Virtualization and artificial intelligence/machine learning (AI/ML) techniques accelerate the automation greatly. The automation improves not only user experiences with services, but also the management of networks and applications by network administrators. This paper will describe user intents, a method for mapping user intents to connectivity and cloud services, and the design process, with examples. The concepts and methods described here are expected to be used by consumers and administrators of networks and applications forming services. The intents and their mappings can be expanded for each service by adding unique capabilities and attributes for connectivity and application options of a given service.},
year = {2021}
}
TY - JOUR T1 - Intent-based Networking for Connectivity and Cloud Services AU - Mehmet Toy Y1 - 2021/03/10 PY - 2021 N1 - https://doi.org/10.11648/j.net.20210901.12 DO - 10.11648/j.net.20210901.12 T2 - Advances in Networks JF - Advances in Networks JO - Advances in Networks SP - 19 EP - 22 PB - Science Publishing Group SN - 2326-9782 UR - https://doi.org/10.11648/j.net.20210901.12 AB - Recent developments in networking and services technologies increased number of choices for users and complexity of networks and services. At the same time, there is substantial effort in the industry to enhance user experiences with services. The enhancement of user experiences is tightly coupled with mapping of user intents to services by shielding customers from the complexity and automating management processes involved in ordering and delivering services. The mapping is an iterative process. Its accuracy is expected to be improved as Service Providers gain experience with the process. Automating management processes in a management infrastructure with non-virtualized OSSs (Operating Support Systems) is lengthy and difficult. Virtualization and artificial intelligence/machine learning (AI/ML) techniques accelerate the automation greatly. The automation improves not only user experiences with services, but also the management of networks and applications by network administrators. This paper will describe user intents, a method for mapping user intents to connectivity and cloud services, and the design process, with examples. The concepts and methods described here are expected to be used by consumers and administrators of networks and applications forming services. The intents and their mappings can be expanded for each service by adding unique capabilities and attributes for connectivity and application options of a given service. VL - 9 IS - 1 ER -
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