- The document discusses requirements for supporting network slicing in 5G to enable different services like eMBB, IoT, and URLLC that have varying latency, reliability and bandwidth needs.
- It describes that ONAP needs to support the full lifecycle management of network slicing, including automated configuration of slices during instantiation and automated reconfiguration at runtime.
- Key terms related to network slicing like network slice, slice template, and the roles of functions like NSMF and NRF are defined.
Cisco Prime for IP Next -Generation Networks (IP NGN) drastically simplifies the design, provisioning, and management of carrier - grade networks.
This comprehensive solution centralizes and automates service design, fulfillment, assurance, and performance analysis to help you lower costs while meeting high customer expectations.
Cisco Prime for IP Next -Generation Networks (IP NGN) drastically simplifies the design, provisioning, and management of carrier - grade networks.
This comprehensive solution centralizes and automates service design, fulfillment, assurance, and performance analysis to help you lower costs while meeting high customer expectations.
Segment routing is a network technology focused on addressing the pain points of existing IP and Multiprotocol Label Switching (MPLS) networks in terms of simplicity, scale, and ease of operation. It’s a foundation for application engineered routing because it prepares the networks for new business models where applications can direct network behavior.
Segment routing seeks the right balance between distributed intelligence and centralized optimization and programming. It was built for the software-defined networking (SDN) era.
Segment routing enables enhanced packet forwarding behavior. It enables a network to transport unicast packets through a specific forwarding path, other than the normal shortest path that a packet usually takes. This capability benefits many use cases, and you can build those specific paths based on application requirements.
Segment routing uses the source routing paradigm. A node, usually a router but it can also be a switch, a trusted server, or a virtual forwarder running on a hypervisor, steers a packet through an ordered list of instructions, called segments. A segment can represent any instruction, topological or service-based. A segment can have a local semantic to a segment-routing node or global within a segment-routing network. Segment routing allows you to enforce a flow through any topological path and service chain while maintaining per-flow state only at the ingress node to the segment-routing network. To be aligned with modern IP networks, segment routing supports equal-cost multipath (ECMP) by design, and the forwarding within a segment-routing network uses all possible paths, when desired.
A Platform for Data Intensive Services Enabled by Next Generation Dynamic Opt...Tal Lavian Ph.D.
The new architecture is proposed for data intensive enabled by next generation dynamic optical networks
Encapsulates “optical network resources” into a service framework to support dynamically provisioned and advanced data-intensive transport services
Provides a generalized framework for high performance applications over next generation networks, not necessary optical end-to-end
Supports both on-demand and scheduled data retrieval
Supports a meshed wavelength switched network capable of establishing an end-to-end lightpath in seconds
Supports bulk data-transfer facilities using lambda-switched networks
Supports out-of-band tools for adaptive placement of data replicas
Offers network resources as Grid services for Grid computing
Turbocharge the NFV Data Plane in the SDN Era - a Radisys presentationRadisys Corporation
On October 8, 2014, Karl Wale (Director of Product Management) and James Radley (Architect) presented: Turbocharge the NFV Data Plane in the SDN Era. This expert duo discussed the evolution of the network and service provider objectives around the challenges of deploying SDN/NFV solutions. They take you through some application use cases and introduce the new Radisys FlowEngine data plane software technology.
5G Network Architecture, Design and Optimisation3G4G
Presented by Prof. Andy Sutton, Principal Network Architect, Architecture & Strategy, TSO, BT at The IET '5G - State of Play' conference on 24th January 2018
*** SHARED WITH PERMISSION ***
CNCF TUG (Telecom User Group) Ike Alisson 5G New Service Capabilities Rev pa10Ike Alisson
5G New Service Capabilities (with an overview on the synergy between 5G CN and RAN (O-RAN Specifications) via CUPS and some of the Enhancements for URLLC UCs enhancements
A quick look at 5G System architecture in Reference point representation and in Service Based representation and also look at the different Network Functions (NFs) within the 5G System.
A Platform for Data Intensive Services Enabled by Next Generation Dynamic Opt...Tal Lavian Ph.D.
The new architecture is proposed for data intensive enabled by next generation dynamic optical networks
Offers a Lambda scheduling service over Lambda Grids
Supports both on-demand and scheduled data retrieval
Supports bulk data-transfer facilities using lambda-switched networks
Provides a generalized framework for high performance applications over next generation networks, not necessary optical end-to-end
Supports out-of-band tools for adaptive placement of data replicas
How to Get CNIC Information System with Paksim Ga.pptxdanishmna97
Pakdata Cf is a groundbreaking system designed to streamline and facilitate access to CNIC information. This innovative platform leverages advanced technology to provide users with efficient and secure access to their CNIC details.
Segment routing is a network technology focused on addressing the pain points of existing IP and Multiprotocol Label Switching (MPLS) networks in terms of simplicity, scale, and ease of operation. It’s a foundation for application engineered routing because it prepares the networks for new business models where applications can direct network behavior.
Segment routing seeks the right balance between distributed intelligence and centralized optimization and programming. It was built for the software-defined networking (SDN) era.
Segment routing enables enhanced packet forwarding behavior. It enables a network to transport unicast packets through a specific forwarding path, other than the normal shortest path that a packet usually takes. This capability benefits many use cases, and you can build those specific paths based on application requirements.
Segment routing uses the source routing paradigm. A node, usually a router but it can also be a switch, a trusted server, or a virtual forwarder running on a hypervisor, steers a packet through an ordered list of instructions, called segments. A segment can represent any instruction, topological or service-based. A segment can have a local semantic to a segment-routing node or global within a segment-routing network. Segment routing allows you to enforce a flow through any topological path and service chain while maintaining per-flow state only at the ingress node to the segment-routing network. To be aligned with modern IP networks, segment routing supports equal-cost multipath (ECMP) by design, and the forwarding within a segment-routing network uses all possible paths, when desired.
A Platform for Data Intensive Services Enabled by Next Generation Dynamic Opt...Tal Lavian Ph.D.
The new architecture is proposed for data intensive enabled by next generation dynamic optical networks
Encapsulates “optical network resources” into a service framework to support dynamically provisioned and advanced data-intensive transport services
Provides a generalized framework for high performance applications over next generation networks, not necessary optical end-to-end
Supports both on-demand and scheduled data retrieval
Supports a meshed wavelength switched network capable of establishing an end-to-end lightpath in seconds
Supports bulk data-transfer facilities using lambda-switched networks
Supports out-of-band tools for adaptive placement of data replicas
Offers network resources as Grid services for Grid computing
Turbocharge the NFV Data Plane in the SDN Era - a Radisys presentationRadisys Corporation
On October 8, 2014, Karl Wale (Director of Product Management) and James Radley (Architect) presented: Turbocharge the NFV Data Plane in the SDN Era. This expert duo discussed the evolution of the network and service provider objectives around the challenges of deploying SDN/NFV solutions. They take you through some application use cases and introduce the new Radisys FlowEngine data plane software technology.
5G Network Architecture, Design and Optimisation3G4G
Presented by Prof. Andy Sutton, Principal Network Architect, Architecture & Strategy, TSO, BT at The IET '5G - State of Play' conference on 24th January 2018
*** SHARED WITH PERMISSION ***
CNCF TUG (Telecom User Group) Ike Alisson 5G New Service Capabilities Rev pa10Ike Alisson
5G New Service Capabilities (with an overview on the synergy between 5G CN and RAN (O-RAN Specifications) via CUPS and some of the Enhancements for URLLC UCs enhancements
A quick look at 5G System architecture in Reference point representation and in Service Based representation and also look at the different Network Functions (NFs) within the 5G System.
A Platform for Data Intensive Services Enabled by Next Generation Dynamic Opt...Tal Lavian Ph.D.
The new architecture is proposed for data intensive enabled by next generation dynamic optical networks
Offers a Lambda scheduling service over Lambda Grids
Supports both on-demand and scheduled data retrieval
Supports bulk data-transfer facilities using lambda-switched networks
Provides a generalized framework for high performance applications over next generation networks, not necessary optical end-to-end
Supports out-of-band tools for adaptive placement of data replicas
How to Get CNIC Information System with Paksim Ga.pptxdanishmna97
Pakdata Cf is a groundbreaking system designed to streamline and facilitate access to CNIC information. This innovative platform leverages advanced technology to provide users with efficient and secure access to their CNIC details.
Encryption in Microsoft 365 - ExpertsLive Netherlands 2024Albert Hoitingh
In this session I delve into the encryption technology used in Microsoft 365 and Microsoft Purview. Including the concepts of Customer Key and Double Key Encryption.
Unlocking Productivity: Leveraging the Potential of Copilot in Microsoft 365, a presentation by Christoforos Vlachos, Senior Solutions Manager – Modern Workplace, Uni Systems
Sudheer Mechineni, Head of Application Frameworks, Standard Chartered Bank
Discover how Standard Chartered Bank harnessed the power of Neo4j to transform complex data access challenges into a dynamic, scalable graph database solution. This keynote will cover their journey from initial adoption to deploying a fully automated, enterprise-grade causal cluster, highlighting key strategies for modelling organisational changes and ensuring robust disaster recovery. Learn how these innovations have not only enhanced Standard Chartered Bank’s data infrastructure but also positioned them as pioneers in the banking sector’s adoption of graph technology.
zkStudyClub - Reef: Fast Succinct Non-Interactive Zero-Knowledge Regex ProofsAlex Pruden
This paper presents Reef, a system for generating publicly verifiable succinct non-interactive zero-knowledge proofs that a committed document matches or does not match a regular expression. We describe applications such as proving the strength of passwords, the provenance of email despite redactions, the validity of oblivious DNS queries, and the existence of mutations in DNA. Reef supports the Perl Compatible Regular Expression syntax, including wildcards, alternation, ranges, capture groups, Kleene star, negations, and lookarounds. Reef introduces a new type of automata, Skipping Alternating Finite Automata (SAFA), that skips irrelevant parts of a document when producing proofs without undermining soundness, and instantiates SAFA with a lookup argument. Our experimental evaluation confirms that Reef can generate proofs for documents with 32M characters; the proofs are small and cheap to verify (under a second).
Paper: https://eprint.iacr.org/2023/1886
Securing your Kubernetes cluster_ a step-by-step guide to success !KatiaHIMEUR1
Today, after several years of existence, an extremely active community and an ultra-dynamic ecosystem, Kubernetes has established itself as the de facto standard in container orchestration. Thanks to a wide range of managed services, it has never been so easy to set up a ready-to-use Kubernetes cluster.
However, this ease of use means that the subject of security in Kubernetes is often left for later, or even neglected. This exposes companies to significant risks.
In this talk, I'll show you step-by-step how to secure your Kubernetes cluster for greater peace of mind and reliability.
Essentials of Automations: The Art of Triggers and Actions in FMESafe Software
In this second installment of our Essentials of Automations webinar series, we’ll explore the landscape of triggers and actions, guiding you through the nuances of authoring and adapting workspaces for seamless automations. Gain an understanding of the full spectrum of triggers and actions available in FME, empowering you to enhance your workspaces for efficient automation.
We’ll kick things off by showcasing the most commonly used event-based triggers, introducing you to various automation workflows like manual triggers, schedules, directory watchers, and more. Plus, see how these elements play out in real scenarios.
Whether you’re tweaking your current setup or building from the ground up, this session will arm you with the tools and insights needed to transform your FME usage into a powerhouse of productivity. Join us to discover effective strategies that simplify complex processes, enhancing your productivity and transforming your data management practices with FME. Let’s turn complexity into clarity and make your workspaces work wonders!
Alt. GDG Cloud Southlake #33: Boule & Rebala: Effective AppSec in SDLC using ...James Anderson
Effective Application Security in Software Delivery lifecycle using Deployment Firewall and DBOM
The modern software delivery process (or the CI/CD process) includes many tools, distributed teams, open-source code, and cloud platforms. Constant focus on speed to release software to market, along with the traditional slow and manual security checks has caused gaps in continuous security as an important piece in the software supply chain. Today organizations feel more susceptible to external and internal cyber threats due to the vast attack surface in their applications supply chain and the lack of end-to-end governance and risk management.
The software team must secure its software delivery process to avoid vulnerability and security breaches. This needs to be achieved with existing tool chains and without extensive rework of the delivery processes. This talk will present strategies and techniques for providing visibility into the true risk of the existing vulnerabilities, preventing the introduction of security issues in the software, resolving vulnerabilities in production environments quickly, and capturing the deployment bill of materials (DBOM).
Speakers:
Bob Boule
Robert Boule is a technology enthusiast with PASSION for technology and making things work along with a knack for helping others understand how things work. He comes with around 20 years of solution engineering experience in application security, software continuous delivery, and SaaS platforms. He is known for his dynamic presentations in CI/CD and application security integrated in software delivery lifecycle.
Gopinath Rebala
Gopinath Rebala is the CTO of OpsMx, where he has overall responsibility for the machine learning and data processing architectures for Secure Software Delivery. Gopi also has a strong connection with our customers, leading design and architecture for strategic implementations. Gopi is a frequent speaker and well-known leader in continuous delivery and integrating security into software delivery.
LF Energy Webinar: Electrical Grid Modelling and Simulation Through PowSyBl -...DanBrown980551
Do you want to learn how to model and simulate an electrical network from scratch in under an hour?
Then welcome to this PowSyBl workshop, hosted by Rte, the French Transmission System Operator (TSO)!
During the webinar, you will discover the PowSyBl ecosystem as well as handle and study an electrical network through an interactive Python notebook.
PowSyBl is an open source project hosted by LF Energy, which offers a comprehensive set of features for electrical grid modelling and simulation. Among other advanced features, PowSyBl provides:
- A fully editable and extendable library for grid component modelling;
- Visualization tools to display your network;
- Grid simulation tools, such as power flows, security analyses (with or without remedial actions) and sensitivity analyses;
The framework is mostly written in Java, with a Python binding so that Python developers can access PowSyBl functionalities as well.
What you will learn during the webinar:
- For beginners: discover PowSyBl's functionalities through a quick general presentation and the notebook, without needing any expert coding skills;
- For advanced developers: master the skills to efficiently apply PowSyBl functionalities to your real-world scenarios.
GDG Cloud Southlake #33: Boule & Rebala: Effective AppSec in SDLC using Deplo...James Anderson
Effective Application Security in Software Delivery lifecycle using Deployment Firewall and DBOM
The modern software delivery process (or the CI/CD process) includes many tools, distributed teams, open-source code, and cloud platforms. Constant focus on speed to release software to market, along with the traditional slow and manual security checks has caused gaps in continuous security as an important piece in the software supply chain. Today organizations feel more susceptible to external and internal cyber threats due to the vast attack surface in their applications supply chain and the lack of end-to-end governance and risk management.
The software team must secure its software delivery process to avoid vulnerability and security breaches. This needs to be achieved with existing tool chains and without extensive rework of the delivery processes. This talk will present strategies and techniques for providing visibility into the true risk of the existing vulnerabilities, preventing the introduction of security issues in the software, resolving vulnerabilities in production environments quickly, and capturing the deployment bill of materials (DBOM).
Speakers:
Bob Boule
Robert Boule is a technology enthusiast with PASSION for technology and making things work along with a knack for helping others understand how things work. He comes with around 20 years of solution engineering experience in application security, software continuous delivery, and SaaS platforms. He is known for his dynamic presentations in CI/CD and application security integrated in software delivery lifecycle.
Gopinath Rebala
Gopinath Rebala is the CTO of OpsMx, where he has overall responsibility for the machine learning and data processing architectures for Secure Software Delivery. Gopi also has a strong connection with our customers, leading design and architecture for strategic implementations. Gopi is a frequent speaker and well-known leader in continuous delivery and integrating security into software delivery.
Maruthi Prithivirajan, Head of ASEAN & IN Solution Architecture, Neo4j
Get an inside look at the latest Neo4j innovations that enable relationship-driven intelligence at scale. Learn more about the newest cloud integrations and product enhancements that make Neo4j an essential choice for developers building apps with interconnected data and generative AI.
GridMate - End to end testing is a critical piece to ensure quality and avoid...ThomasParaiso2
End to end testing is a critical piece to ensure quality and avoid regressions. In this session, we share our journey building an E2E testing pipeline for GridMate components (LWC and Aura) using Cypress, JSForce, FakerJS…
In the rapidly evolving landscape of technologies, XML continues to play a vital role in structuring, storing, and transporting data across diverse systems. The recent advancements in artificial intelligence (AI) present new methodologies for enhancing XML development workflows, introducing efficiency, automation, and intelligent capabilities. This presentation will outline the scope and perspective of utilizing AI in XML development. The potential benefits and the possible pitfalls will be highlighted, providing a balanced view of the subject.
We will explore the capabilities of AI in understanding XML markup languages and autonomously creating structured XML content. Additionally, we will examine the capacity of AI to enrich plain text with appropriate XML markup. Practical examples and methodological guidelines will be provided to elucidate how AI can be effectively prompted to interpret and generate accurate XML markup.
Further emphasis will be placed on the role of AI in developing XSLT, or schemas such as XSD and Schematron. We will address the techniques and strategies adopted to create prompts for generating code, explaining code, or refactoring the code, and the results achieved.
The discussion will extend to how AI can be used to transform XML content. In particular, the focus will be on the use of AI XPath extension functions in XSLT, Schematron, Schematron Quick Fixes, or for XML content refactoring.
The presentation aims to deliver a comprehensive overview of AI usage in XML development, providing attendees with the necessary knowledge to make informed decisions. Whether you’re at the early stages of adopting AI or considering integrating it in advanced XML development, this presentation will cover all levels of expertise.
By highlighting the potential advantages and challenges of integrating AI with XML development tools and languages, the presentation seeks to inspire thoughtful conversation around the future of XML development. We’ll not only delve into the technical aspects of AI-powered XML development but also discuss practical implications and possible future directions.
Enchancing adoption of Open Source Libraries. A case study on Albumentations.AIVladimir Iglovikov, Ph.D.
Presented by Vladimir Iglovikov:
- https://www.linkedin.com/in/iglovikov/
- https://x.com/viglovikov
- https://www.instagram.com/ternaus/
This presentation delves into the journey of Albumentations.ai, a highly successful open-source library for data augmentation.
Created out of a necessity for superior performance in Kaggle competitions, Albumentations has grown to become a widely used tool among data scientists and machine learning practitioners.
This case study covers various aspects, including:
People: The contributors and community that have supported Albumentations.
Metrics: The success indicators such as downloads, daily active users, GitHub stars, and financial contributions.
Challenges: The hurdles in monetizing open-source projects and measuring user engagement.
Development Practices: Best practices for creating, maintaining, and scaling open-source libraries, including code hygiene, CI/CD, and fast iteration.
Community Building: Strategies for making adoption easy, iterating quickly, and fostering a vibrant, engaged community.
Marketing: Both online and offline marketing tactics, focusing on real, impactful interactions and collaborations.
Mental Health: Maintaining balance and not feeling pressured by user demands.
Key insights include the importance of automation, making the adoption process seamless, and leveraging offline interactions for marketing. The presentation also emphasizes the need for continuous small improvements and building a friendly, inclusive community that contributes to the project's growth.
Vladimir Iglovikov brings his extensive experience as a Kaggle Grandmaster, ex-Staff ML Engineer at Lyft, sharing valuable lessons and practical advice for anyone looking to enhance the adoption of their open-source projects.
Explore more about Albumentations and join the community at:
GitHub: https://github.com/albumentations-team/albumentations
Website: https://albumentations.ai/
LinkedIn: https://www.linkedin.com/company/100504475
Twitter: https://x.com/albumentations
Generative AI Deep Dive: Advancing from Proof of Concept to ProductionAggregage
Join Maher Hanafi, VP of Engineering at Betterworks, in this new session where he'll share a practical framework to transform Gen AI prototypes into impactful products! He'll delve into the complexities of data collection and management, model selection and optimization, and ensuring security, scalability, and responsible use.
Generative AI Deep Dive: Advancing from Proof of Concept to Production
5G RAN Slicing for Dublin Release.pptx
1. Candidate for ONAP Dublin Implementation
5G RAN E2E Slice Design, Deploy and Manage
5G Use Case Team
2. Requirement Statement:
• Each Service Provider (SP) needs to support a rich set of advanced 5G wireless services, such as enhanced Mobile Broad
Band (eMBB), massive Internet of Things (mIoT), and Ultra-Reliable, Low-latency Communications (URLLC ), for mission
critical communications.
• These services have very different requirements on latency, reliability, availability, mobility, and bandwidth. Deploying multiple
separate networks to support these varying requirements is not practical. End to End network slicing as defined by 3GPP
provides specifications for efficient creation of multiple logical networks sharing a common network infrastructure while
meeting the specified service levels for each of the services. ONAP must support the complete lifecycle management of such
network slicing.
• Automated Configuration: Automated configuration of a slice during the instantiation, configuration, and activation phases, a
newly created set of identifying parameters automatically configured
• Automated reconfiguration. Automated reconfiguration happens during run-time e.g. an active slice can be reconfigured
automatically because of a change in the service requirements or service conditions.
E2E Slice & Service Definition, Deployment, and Management
3. Network Slice: A logical network that provides specific network capabilities and
network characteristics.
Network Slice Instance(NSI): A set of Network Function instances and the required
resources (e.g. compute, storage and networking resources) which form a deployed
Network Slice. NSI contains Core Network part and Access Network part.
NST: Network Slice Template or Profile
NSST: Network Slice Subnet Template or Profiles
NSMF: Network Slice Management Function
NSSI: Network Slice Subnet Instance
NSI: Network Slice Instance
NSSAI: Network Slice Selection Assistance Information
PNF: Physical Network Function
DP: Data Plane
Terminology and Abbreviations
4. Slice Aware 5G Network Architecture
5G
Application
Ecosystem
UE/CPE
RAN Network Slice Segment (NSSIs) Transport Slice Segments (NSSIs) Core Slice Segments (NSSIs)
RAN Abstraction Model Transport Abstraction Model Core Abstraction Model
Mobile Slice Services (e.g. eMBB, Massive IoT, Mission-critical IoT)
ONAP
Management - Design
ONAP
Management - Runtime
E2E Slice Instances (NSIs)
RU DU CU-UP
Edge Cloud
CU-CP-H
CU-CP-L
Front Haul Mid Haul Back Haul
Centralized
Cloud
Disaggregated Core
UPF SMF UDM AUSF
AMF PCF NSSF NRF
Internet
External Content
6. 5G Network Slice Lifecycle Flow – Perquisite & Design Steps
Business Objectives / Requirements, Slice subnet & E2E
Slice Profiles
Define set of slice subnet and E2E slice templates / profiles to be
supported
Sub-slices / services within a broad slice (e.g. interactive video
within MBB, etc.)
Key attributes / SLO / Characteristics, Slice aware KPIs / Counters
E2E Slice / Slice Segment network diagram
Identify resources requirements (Radio, transport, core),
reservation mode (shared, reserved exclusively, right to preempt,
etc.)
How to respond under overload and underload condition (i.e. scale
up / scale down)
etc.
Standardized Abstractions & Modeling (3GPP
with some potentially extensions)
Standard Model (e.g. Yang or TOSCA) for Radio
Resource Description:
Leverage 3GPP defined TOSCA slice model
Standard Model (e.g. Yang) for Transport Abstraction:
QoS, Bandwidth, resiliency, redundancy, etc.
Core / APN Abstraction Model (e.g. TOSCA):
Resource reservation, entitlements, packet marking,
etc.
Standard Model nest / complex services (e.g. TOSCA):
Creating slice using slice segments, nested services,
and E2E SLA / SLO specifications
SDC
7. Network Slice Lifecycle Flow – Instantiating Slice Subnet or E2E Slice
Select E2E Slice Profile or Slice Subnet Profile /
template to Instantiate
Identify resources requirements (Radio, transport,
core), reservation mode (shared, reserved
exclusively, right to preempt, etc.)
Expected capacity requirements (# devices, peak
traffic volume, etc.)
Scope of slice / Slice Subnet (registration areas,
etc.)
Slice / slice subnet instance name
Other Parameters to be specified, as expected by
the model
etc.
VID (or using APIs) SO
Controller
RU DU CU-UP
Edge Cloud
CU-CP
Front Haul Mid Haul Back Haul
Centralized Cloud
Internet
External
Content
Disaggregated Core
UPF SMF UDM AUSF
AMF PCF NSSF NRF
Orchestrator executes Slice Subnet E2E Slice Instantiation or
Modification recipe (Could be recursive)
Pass configuration specifications, as per abstraction
standards, to RAN controller for radio slice segment
creation
Pass QoS, bandwidth, resiliency requirements for transport
network to transport controller
Configure NG Core
Start data collection and SLA / SLO monitoring with right
DCAE(s) for NEs in scope
Update A&AI with slice / slice segment topology & state
DCAE
A&AI
Runtime Policy Framework
Maintain inventory of instantiated slice subnets, E2E slices,
their states and their hierarchical relationship
Support closed loop corrective action for Slice / slice subnet
SLA violations
Slice Aware KPI / Counter collection
Compute 3GPP defined slice / slice segment KPIs, Analytics
application for slice / slice segment SLA / SLO
Publish anomalous event when SLA / SLO violation occurs
RAN / Core NE configuration and Transport slice subnet
creation
8. • We want to create two slices:
One for Mobile Broadband (could this be the default slice, and we create only one more slice?)
One for Ultra Low Latency, High Reliability
• Our network scope is one registration area with two tracking areas, three DUs, one CU-UP, one CU-
CP, and dedicated core for each slice
• Do we need a new dedicated vlan between DUs and CU-UP for this new slice with different QoS?
Suggested Slicing Scope for Dublin
9. 5G Example Network
RU #2 DU #2 CU-UP
DU #1
DU #n
RU #1
RU #n
Cell
#1
Cell
#2
Cell
#n
TA
TA
… …
RA
Edge
Cloud
RU #2 DU #2 CU-UP
DU #1
DU #n
RU #1
RU #n
Cell
#1
Cell
#2
Cell
#n
TA
TA
… …
RA
Edge
Cloud
CU-UP
Edge
Cloud
…
…
…
…
CU-CP
Internet
External Content
Centralized
Cloud
Front Haul Mid Haul/LAN BackHaul
Disaggregated Core
UPF SMF UDM AUSF
AMF PCF NSSF NRF
Network In Scope for Slice Demonstration
10. • Slice model to agree upon
• Create ultra low latency high reliability slice template / profile in SDC
• Identify fields / parameters specified or populated by VID
• SO workflow steps (could be recursive)
Should SO identify all the network elements in scope for a given registration area or the controller or the RAN control plane
function (i.e. CU-CP)?
• ….
Slice demonstration details for Dublin release