Revolutionizing Network Management with Intent-Based Networking

 
Development of an IBN tool for
Network Automation
 
             
  Presenter: Mohit Rai (CE, mr06638)
             Proposed Advisor: Dr.Farhan Khan
             Proposed External Advisor: Dr. Faraz Haider
 
 
Introduction
 
Have you ever wondered how to simplify these complex network configuration
and make network management more efficient?
The answer to this question lies in a higher level of Network Automation.
Generally, it implement alerts, triggers and remediation on events .In addition to
that it will also be beneficial in streamlining workflows, optimizing resources and
enhancing security.
Hence, I am are here today to discuss my project which is an attempt to
revolutionize Network Management using IBN or Intent-Based Networking
The basic Intent, as the name goes,  here is to introduce the concept of Intent-
based Networking, address the problems in traditional networking, convey the
ways in which IBN is potentially better than existing solutions and outline my
plan to develop an IBN tool
 
Problem Statement
 
Networking has traditionally been driven by manual, command-line interface
(CLI)-based operations, fundamental element management systems (EMSs), or
automated scripts. The majority of network disruptions are caused by human
error during these network activities.
As the Network Grows and evolves, there is a pressing need for simplifying the
network management, automating network configuration and aligning the
Network operations with business Intents.
Problem Statement: “ To address the problem of human errors in Network
Configurations, there is a strong need to fully automate the configuration
process  by developing a tool which can translate Network Intents written in
English leading to Generation of Vendor Specific Network Configurations”.
 
What is IBN?
 
Intent-based networking (IBN) is a sophisticated approach to network automation
that leverages intelligence and analytics. It translates high-level business
objectives into network configurations without manual coding, simplifying
operations. For instance, it can automatically create secure tunnels between
networks based on broad intent descriptions. IBN potentially also continuously
validates network correctness, ensuring configurations align with intentions,
enhancing network uptime and reliability.
IBN operates on a declarative network model, in contrast to traditional imperative
networking. In traditional networking, engineers specify sequential actions for
each network element, leading to error-prone configurations. IBN eliminates this
complexity by abstracting the configuration process, making network management
more efficient, agile, and aligned with an organization's strategic goals.
 
  
Why IBN?
 
Simplification
: IBN simplifies network management,
automating complex configurations and reducing
errors for enhanced efficiency.
Alignment
: It aligns the network with business
objectives, improving agility, scalability, and
responsiveness to changing needs.
Security
: IBN enhances security with automated
policy enforcement and real-time threat detection.
Efficiency
: Efficient resource utilization, reduced
downtime, and vendor flexibility contribute to cost
savings and reliability.
Scalability
: IBN automates resource scaling, ensuring
the network can handle increased traffic and devices
effectively.
Reliability
: Continuous validation minimizes network
downtime, leading to improved network reliability.
Flexibility
: It promotes vendor interoperability and
abstraction, allowing organizations to choose the most
suitable network components.
Agility
: Rapid adaptation to changing business
requirements is enabled by IBN, facilitating faster
deployment and market responsiveness.
 
Network Administrators:
 These professionals are
directly affected by the problem as they struggle
with complex configurations, leading to errors and
inefficiencies in network management.
Business Leadership:
 Efficient network
management is crucial for business leaders to
achieve cost reduction, agility, and alignment with
strategic goals.
End-Users:
 Employees and customers depend on
a reliable network for productivity and the
delivery of services, making them key
stakeholders.
Network Service Providers:
 Efficient network
management tools are essential for service
providers to deliver high-quality services and
maintain competitiveness.
Network Security Teams:
 Security teams require
a well-managed network to protect against cyber
threats and ensure compliance, reducing the risk
of breaches.
 
Stakeholders
 
Market statistics:
The Intent-based networking Market is expected to reach about 8.4 Billion USD by 2032,
up from 1.2 billion in 2022, as per the survey conducted by [1]
The compound annual growth rate or CAGR of the Intent-based networks is expected to
reach 30% by 2028, as displayed in [2]
As per [1], the leading sector, which will adopt the IBN networking technology will be the
Banking and Financial or BFSI sector.
Major technological Companies invested in Intent-based networking: Cisco, Juniper
Networks, IBM, Huawei, Nokia, Vmware, Apstra, NetBrain Technologies, Indeni, ONF
Impact on other industries:
The impact of IBN would not be limited to just the wired Industry, but it would would also
include the wireless or 5G/6G , as the literature survey [1] highlights the different IBN
solutions available in the domain of 6G, which also shows that how much companies such as
Cisco, Juniper Networks, Huawei and Spruce are invested in this domain
 
Proposed Solution Block Diagram
 
How does IBN compare with existing solutions?
 
IBN is superior to SDN and NFV in the
following ways: It is more scalable. IBN
can be used to manage large and
complex networks, while SDN and NFV
are better suited for smaller networks.
It is more flexible. IBN allows network
administrators to define their intent in a
variety of ways, while SDN and NFV
are more limited in their capabilities.
It is more secure. IBN can be used to
enforce security policies across the
entire network, while SDN and NFV are
more focused on individual network
devices.
 
The SDN controller can be used to enforce
policies that are defined in terms of
business intent (working with IBN)
The NFV infrastructure can be used to
host network functions that are required to
enforce these policies. (working with IBN)
The SDN controller can be used to collect
telemetry data from the network
infrastructure, which can be used to
improve the performance of the
network.(working with IBN)
The NFV infrastructure can be used to
host analytics applications that can be used
to analyze telemetry data.(working with
IBN)
 
Intent Profiling
 
Template based/ GUI-based approach
: This technique uses templates or graphical user
interfaces (GUIs) to help users define their intents. This approach is easy to use, but it can be
inflexible and difficult to scale.
NLP (Natural-Language Processing based approach)
: This technique uses natural language
processing (NLP) to extract intents from text or speech. This approach is more powerful than
template-based approaches, but it can be more complex and difficult to implement.
Intent-based languages
: This technique uses a dedicated language to express intents. This
approach is very flexible and powerful, but it can be difficult to learn and use.
API Intent Expression
: This technique uses application programming interfaces (APIs) to
express intents. This approach is easy to use, but it can be less flexible than other approaches.
Grammar/Keyword-Based
: This technique uses grammars or keywords to extract intents
from text or speech. This approach is easy to use and implement, but it can be less accurate
than other approaches.
 
Deliverables
 
1.
IBN-Based Tool
: The primary deliverable
will be a functional Intent-Based
Networking (IBN) tool implemented
2.
Fully Configured Topology Diagrams:
The
Diagrams would be configured with the
configuration generated by the IBN tool.
3.
Use-Cases with Configuration Scripts
:
Practical use-case scenarios, such as SD-
WAN systems and secure VPN
connections, will be implemented and
accompanied by configuration scripts for
verification.
4.
Conference and Journal Papers
(Optional)
: Research findings and project
outcomes will be documented in research
papers suitable for submission to
conferences and journals in the field.
 
1.
Research and Analysis:
 Conduct extensive
research and analysis of Intent-Based
Networking (IBN) concepts, existing
technologies, and best practices.
2.
Tool Development:
 Develop the IBN-based
tool, ensuring it aligns with research
findings and requirements.
3.
Use-Case Implementation:
 Implement
practical use-cases to validate the tool's
functionality and performance.
4.
Documentation:
 Document the entire
project, including research, development,
implementation, and testing phases.
5.
Presentation and Publication (Optional):
Present findings to the academic
community and publish research papers in
relevant conferences and journals.
 
Approach
 
Roadmap
 
References
 
Market Research:
[1]
https://www.marketresearchfuture.com/reports/intent-based-networking-market-6846
[2]
https://www.digitaljournal.com/pr/intent-based-networking-ibn-market-scope-and-overview-to-develop-with-increased-global-emphasis-
on-industrialization-2029-cisco-systems-huawei-technologies-fortinet
Research Articles:
A. Leivadeas and M. Falkner, "A Survey on Intent-Based Networking," in IEEE Communications Surveys & Tutorials, vol. 25, no. 1, pp. 625-
655, Firstquarter 2023, doi: 10.1109/COMST.2022.3215919.
Wei, Yiming & Peng, Mugen & Liu, Yaqiong. (2020). Intent-based networks for 6G: Insights and challenges. Digital Communications and
Networks. 6. 10.1016/j.dcan.2020.07.001.
Kashif Mehmood, Katina Kralevska, and David Palma. 2023. Intent-driven autonomous network and service management in future cellular
networks: A structured literature review. Comput. Netw. 220, C (Jan 2023). https://doi.org/10.1016/j.comnet.2022.109477
Websites:
https://www.juniper.net/us/en/research-topics/what-is-intent-based-networking.html#:~:text=based%20networking%20FAQs-
,What%20problems%20does%20intent%2Dbased%20networking%20solve%3F,manual%2C%20CLI%2Ddriven%20operations
.
https://www.linkedin.com/pulse/article-3-navigating-future-intent-based-networking-empowering/
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Explore the concept and benefits of Intent-Based Networking (IBN) in simplifying network configuration and enhancing efficiency. Learn how IBN automates network operations, aligns with business objectives, improves security, and ensures scalability and reliability. Discover the potential of IBN tools in revolutionizing network management practices for a more agile and responsive network infrastructure.


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  1. Development of an IBN tool for Network Automation Presenter: Mohit Rai (CE, mr06638) Proposed Advisor: Dr.Farhan Khan Proposed External Advisor: Dr. Faraz Haider

  2. Introduction Have you ever wondered how to simplify these complex network configuration and make network management more efficient? The answer to this question lies in a higher level of Network Automation. Generally, it implement alerts, triggers and remediation on events .In addition to that it will also be beneficial in streamlining workflows, optimizing resources and enhancing security. Hence, I am are here today to discuss my project which is an attempt to revolutionize Network Management using IBN or Intent-Based Networking The basic Intent, as the name goes, here is to introduce the concept of Intent- based Networking, address the problems in traditional networking, convey the ways in which IBN is potentially better than existing solutions and outline my plan to develop an IBN tool

  3. Problem Statement Networking has traditionally been driven by manual, command-line interface (CLI)-based operations, fundamental element management systems (EMSs), or automated scripts. The majority of network disruptions are caused by human error during these network activities. As the Network Grows and evolves, there is a pressing need for simplifying the network management, automating network configuration and aligning the Network operations with business Intents. Problem Statement: To address the problem of human errors in Network Configurations, there is a strong need to fully automate the configuration process by developing a tool which can translate Network Intents written in English leading to Generation of Vendor Specific Network Configurations .

  4. What is IBN? Intent-based networking (IBN) is a sophisticated approach to network automation that leverages intelligence and analytics. It translates high-level business objectives into network configurations without manual coding, simplifying operations. For instance, it can automatically create secure tunnels between networks based on broad intent descriptions. IBN potentially also continuously validates network correctness, ensuring configurations align with intentions, enhancing network uptime and reliability. IBN operates on a declarative network model, in contrast to traditional imperative networking. In traditional networking, engineers specify sequential actions for each network element, leading to error-prone configurations. IBN eliminates this complexity by abstracting the configuration process, making network management more efficient, agile, and aligned with an organization's strategic goals.

  5. Why IBN? Stakeholders Simplification: IBN simplifies network management, automating complex configurations and reducing errors for enhanced efficiency. Alignment: It aligns the network with business objectives, improving agility, scalability, and responsiveness to changing needs. Security: IBN enhances security with automated policy enforcement and real-time threat detection. Efficiency: Efficient resource utilization, reduced downtime, and vendor flexibility contribute to cost savings and reliability. Scalability: IBN automates resource scaling, ensuring the network can handle increased traffic and devices effectively. Reliability: Continuous validation minimizes network downtime, leading to improved network reliability. Flexibility: It promotes vendor interoperability and abstraction, allowing organizations to choose the most suitable network components. Agility: Rapid adaptation to changing business requirements is enabled by IBN, facilitating faster deployment and market responsiveness. Network Administrators: These professionals are directly affected by the problem as they struggle with complex configurations, leading to errors and inefficiencies in network management. Business Leadership: Efficient network management is crucial for business leaders to achieve cost reduction, agility, and alignment with strategic goals. End-Users: Employees and customers depend on a reliable network for productivity and the delivery of services, making them key stakeholders. Network Service Providers: Efficient network management tools are essential for service providers to deliver high-quality services and maintain competitiveness. Network Security Teams: Security teams require a well-managed network to protect against cyber threats and ensure compliance, reducing the risk of breaches.

  6. Market statistics: The Intent-based networking Market is expected to reach about 8.4 Billion USD by 2032, up from 1.2 billion in 2022, as per the survey conducted by [1] The compound annual growth rate or CAGR of the Intent-based networks is expected to reach 30% by 2028, as displayed in [2] As per [1], the leading sector, which will adopt the IBN networking technology will be the Banking and Financial or BFSI sector. Major technological Companies invested in Intent-based networking: Cisco, Juniper Networks, IBM, Huawei, Nokia, Vmware, Apstra, NetBrain Technologies, Indeni, ONF Impact on other industries: The impact of IBN would not be limited to just the wired Industry, but it would would also include the wireless or 5G/6G , as the literature survey [1] highlights the different IBN solutions available in the domain of 6G, which also shows that how much companies such as Cisco, Juniper Networks, Huawei and Spruce are invested in this domain

  7. Proposed Solution Block Diagram

  8. How does IBN compare with existing solutions? IBN is superior to SDN and NFV in the following ways: It is more scalable. IBN can be used to manage large and complex networks, while SDN and NFV are better suited for smaller networks. It is more flexible. IBN allows network administrators to define their intent in a variety of ways, while SDN and NFV are more limited in their capabilities. It is more secure. IBN can be used to enforce security policies across the entire network, while SDN and NFV are more focused on individual network devices. The SDN controller can be used to enforce policies that are defined in terms of business intent (working with IBN) The NFV infrastructure can be used to host network functions that are required to enforce these policies. (working with IBN) The SDN controller can be used to collect telemetry data from the network infrastructure, which can be used to improve the performance of the network.(working with IBN) The NFV infrastructure can be used to host analytics applications that can be used to analyze telemetry data.(working with IBN)

  9. Intent Profiling Template based/ GUI-based approach: This technique uses templates or graphical user interfaces (GUIs) to help users define their intents. This approach is easy to use, but it can be inflexible and difficult to scale. NLP (Natural-Language Processing based approach): This technique uses natural language processing (NLP) to extract intents from text or speech. This approach is more powerful than template-based approaches, but it can be more complex and difficult to implement. Intent-based languages: This technique uses a dedicated language to express intents. This approach is very flexible and powerful, but it can be difficult to learn and use. API Intent Expression: This technique uses application programming interfaces (APIs) to express intents. This approach is easy to use, but it can be less flexible than other approaches. Grammar/Keyword-Based: This technique uses grammars or keywords to extract intents from text or speech. This approach is easy to use and implement, but it can be less accurate than other approaches.

  10. Deliverables Approach 1. Research and Analysis: Conduct extensive research and analysis of Intent-Based Networking (IBN) concepts, existing technologies, and best practices. Tool Development: Develop the IBN-based tool, ensuring it aligns with research findings and requirements. Use-Case Implementation: Implement practical use-cases to validate the tool's functionality and performance. Documentation: Document the entire project, including research, development, implementation, and testing phases. Presentation and Publication (Optional): Present findings to the academic community and publish research papers in relevant conferences and journals. 1. IBN-Based Tool: The primary deliverable will be a functional Intent-Based Networking (IBN) tool implemented Fully Configured Topology Diagrams:The Diagrams would be configured with the configuration generated by the IBN tool. Use-Cases with Configuration Scripts: Practical use-case scenarios, such as SD- WAN systems and secure VPN connections, will be implemented and accompanied by configuration scripts for verification. Conference and Journal Papers (Optional): Research findings and project outcomes will be documented in research papers suitable for submission to conferences and journals in the field. 2. 2. 3. 3. 4. 4. 5.

  11. Roadmap

  12. References Market Research: [1]https://www.marketresearchfuture.com/reports/intent-based-networking-market-6846 [2]https://www.digitaljournal.com/pr/intent-based-networking-ibn-market-scope-and-overview-to-develop-with-increased-global-emphasis- on-industrialization-2029-cisco-systems-huawei-technologies-fortinet Research Articles: A. Leivadeas and M. Falkner, "A Survey on Intent-Based Networking," in IEEE Communications Surveys & Tutorials, vol. 25, no. 1, pp. 625- 655, Firstquarter 2023, doi: 10.1109/COMST.2022.3215919. Wei, Yiming & Peng, Mugen & Liu, Yaqiong. (2020). Intent-based networks for 6G: Insights and challenges. Digital Communications and Networks. 6. 10.1016/j.dcan.2020.07.001. Kashif Mehmood, Katina Kralevska, and David Palma. 2023. Intent-driven autonomous network and service management in future cellular networks: A structured literature review. Comput. Netw. 220, C (Jan 2023). https://doi.org/10.1016/j.comnet.2022.109477 Websites: https://www.juniper.net/us/en/research-topics/what-is-intent-based-networking.html#:~:text=based%20networking%20FAQs- ,What%20problems%20does%20intent%2Dbased%20networking%20solve%3F,manual%2C%20CLI%2Ddriven%20operations. https://www.linkedin.com/pulse/article-3-navigating-future-intent-based-networking-empowering/

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