SDN & Openflow World Congress 2016 – Ericsson keynote - How to Leverage SDN & NFV

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A 5G ready core - based on SDN, NFV, distributed cloud, network slicing and orchestration - allows people, enterprises, devices and applications to decide on their connectivity requirements automatically, enabling ICT to move into new markets and build new revenue streams. This presentation will explore with you the steps to drive the transformation that will lead to the promises of SDN/NFV. Ericsson is committed to foster collaborative development through open source initiatives such as OpenDaylight, OpenStack and OPNFV to power the transformation to the Networked society.

Technologie

How to leverage sdn & nfv
Susan James, Head of NFV Infrastructure
SDN & Openflow World Congress 2016
We turn network evolution
into business revolution

How to Leverage SDN & NFV | SDN & Openflow World Congress 2016 | Public | GFMC-16:000404 Uen | 2016-10-11 | Page 2 (9)
5G & IOT use cases
LOW DATA VOLUMES
HIGH DATA VOLUMES
HIGH MOBILITY
LOW/NO MOBILITY
10-100X
End-user Data Rates
5X
Lower Latency
10-100X
Connected Devices
10X
Battery Life
1000X
Mobile Data Volumes
How to Leverage SDN & NFV | SDN & Openflow World Congress 2016 | Public | GFMC-16:000404 Uen | 2016-10-11 | Page 2 (9)

How to Leverage SDN & NFV | SDN & Openflow World Congress 2016 | Public | GFMC-16:000404 Uen | 2016-10-11 | Page 3 (9)
@
VNF VNF
Management & Orchestration & Analytics & Exposure
Virtualization Software Defined
Networking (SDN)
Distributed Cloud Network Slicing
A common network platform
enabling ICT transformation
Journey to NFV
How to Leverage SDN & NFV | SDN & Openflow World Congress 2016 | Public | GFMC-16:000404 Uen | 2016-10-11 | Page 3 (9)

How to Leverage SDN & NFV | SDN & Openflow World Congress 2016 | Public | GFMC-16:000404 Uen | 2016-10-11 | Page 4 (9)
AgilityUse software for
quick revenues
Increase
operational efficiency Efficiency
Speed
Scale services
up or down quickly
New services/efficiencies
not possible with
current technologies
Use commercial server
not network equipment
Multi-tenancy
Save energy
consolidating workloads
VNF from small players
Real-time network
optimization
Existing
business
New
business
Source: Infonetics May 2015
EXPECTATIONs ON NFV
How to Leverage SDN & NFV | SDN & Openflow World Congress 2016 | Public | GFMC-16:000404 Uen | 2016-10-11 | Page 4 (9)

How to Leverage SDN & NFV | SDN & Openflow World Congress 2016 | Public | GFMC-16:000404 Uen | 2016-10-11 | Page 5 (9)
network transformations
Supported by Ericsson, Tier-1 operators have taken the lead, considering ambition,
scope and deployment strategy
Scenario 1 Scenario 2 Scenario 3 Scenario 4 Scenario 5
Vendor X
Vendor N
Vendor X
Vendor M
Vendor N
Vendor X Vendor X
Vendor M
Many vendors, own SI
Vendor XVendor Y Vendor Y Vendor Y Vendor Y
Full de-coupling
Complex vertical SI
Decoupling HW/SW
platform from VNFs
HW decoupled from
SW stack VNF islands
Full stack from
one vendor
Full de-coupling, complex
vertical & horizontal SI
VNF VNF VNF VNF VNF VNF VNF VNF VNF VNF
Virtualization
Hardware
Virt. Virt.
Hardware
Vendor N
Virtualization
Hardware Hardware Hardware
Virtualization Virtualization

How to Leverage SDN & NFV | SDN & Openflow World Congress 2016 | Public | GFMC-16:000404 Uen | 2016-10-11 | Page 6 (9)
COMMUNITIES
IN the heart of the Industry
How to Leverage SDN & NFV | SDN & Openflow World Congress 2016 | Public | GFMC-16:000404 Uen | 2016-10-11 | Page 6 (9)

How to Leverage SDN & NFV | SDN & Openflow World Congress 2016 | Public | GFMC-16:000404 Uen | 2016-10-11 | Page 7 (9)
SDN Brings
Control
for
Operations
Automation, Governance
Agility
to address
Business
Diverse Workloads
Speed
for
Economics
Scale, Multiple Clouds
+ +
How to Leverage SDN & NFV | SDN & Openflow World Congress 2016 | Public | GFMC-16:000404 Uen | 2016-10-11 | Page 7 (9)

How to Leverage SDN & NFV | SDN & Openflow World Congress 2016 | Public | GFMC-16:000404 Uen | 2016-10-11 | Page 8 (9)
NFV – LIVE today
35+ Customers in 24 countries
Telefonica
Softbank
Telstra
Digicell
Swisscom NTT DoCoMo
NFVI
SDN
vEPC
vIMS
vPCRF
vDSC
vMSP
How to Leverage SDN & NFV | SDN & Openflow World Congress 2016 | Public | GFMC-16:000404 Uen | 2016-10-11 | Page 8 (9)

How to Leverage SDN & NFV | SDN & Openflow World Congress 2016 | Public | GFMC-16:000404 Uen | 2016-10-11 | Page 9 (9)

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SD-WAN Orchestration

Ericsson

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Ericsson Technology Review: 5G-TSN integration meets networking requirements ...

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Low latency communication and minimal battery consumption are key requirements of many 5G and IoT use cases, including smart transport and critical control of remote devices. Thanks to Ericsson’s 4G/5G research activities and lessons learned from legacy networks, we have identified solutions that address both of these requirements by reducing the amount of signaling required during state transitions, and shared our discoveries with the 3GPP. This Ericsson Technology Review article explains the why and how behind the new Radio Resource Control (RRC) state model in the standalone version of the 5G New Radio standard, which features a new, Ericsson-developed state called inactive. On top of overcoming latency and battery consumption challenges, the new state also increases overall system capacity by decreasing the processing effort in the network.

Ericsson Technology Review: Meeting 5G latency requirements with inactive state

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Cloud-native application design is set to become standard practice in the telecom industry in the near future due to the major efficiency gains it can provide, particularly in terms of speeding up software upgrades and releases. At Ericsson, we have been actively exploring the potential of cloud-native computing in the telecom industry since we joined the Cloud Native Computing Foundation (CNCF) a few years ago. This Ericsson Technology Review article explains the opportunities that CNCF technology has enabled, as well as unveiling key aspects of our application development framework, which is designed to help navigate the transition to a cloud-native approach. It also discusses the challenges that the large-scale reuse of open-source technology can raise, along with key strategies for how to mitigate them.

Ericsson Technology Review: Cloud-native application design in the telecom do...

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To meet the requirements of use cases in areas such as the Internet of Things, AR/VR, Industry 4.0 and the automotive sector, operators need to be able to provide computing resources across the whole telco domain – all the way to the edge of the mobile network. Service exposure and APIs will play a key role in creating solutions that are both effective and cost efficient. The latest Ericsson Technology Review article explores recent advances in the service exposure area that have resulted from the move toward 5G and the adoption of cloud-native principles, as well as the combination of Service-based Architecture, microservices and container technologies. It includes examples that illustrate how service exposure can be deployed in a multitude of locations, each with a different set of requirements that drive modularity and configurability needs.

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The presentation explores the development and application of artificial intelligence (AI) from its inception to its current status in the modern world. The term "artificial intelligence" was first coined by John McCarthy in 1956 to describe efforts to develop computer programs capable of performing tasks that typically require human intelligence. This concept was first introduced at a conference held at Dartmouth College, where programs demonstrated capabilities such as playing chess, proving theorems, and interpreting texts. In the early stages, Alan Turing contributed to the field by defining intelligence as the ability of a being to respond to certain questions intelligently, proposing what is now known as the Turing Test to evaluate the presence of intelligent behavior in machines. As the decades progressed, AI evolved significantly. The 1980s focused on machine learning, teaching computers to learn from data, leading to the development of models that could improve their performance based on their experiences. The 1990s and 2000s saw further advances in algorithms and computational power, which allowed for more sophisticated data analysis techniques, including data mining. By the 2010s, the proliferation of big data and the refinement of deep learning techniques enabled AI to become mainstream. Notable milestones included the success of Google's AlphaGo and advancements in autonomous vehicles by companies like Tesla and Waymo. A major theme of the presentation is the application of generative AI, which has been used for tasks such as natural language text generation, translation, and question answering. Generative AI uses large datasets to train models that can then produce new, coherent pieces of text or other media. The presentation also discusses the ethical implications and the need for regulation in AI, highlighting issues such as privacy, bias, and the potential for misuse. These concerns have prompted calls for comprehensive regulations to ensure the safe and equitable use of AI technologies. Artificial intelligence has also played a significant role in healthcare, particularly highlighted during the COVID-19 pandemic, where it was used in drug discovery, vaccine development, and analyzing the spread of the virus. The capabilities of AI in healthcare are vast, ranging from medical diagnostics to personalized medicine, demonstrating the technology's potential to revolutionize fields beyond just technical or consumer applications. In conclusion, AI continues to be a rapidly evolving field with significant implications for various aspects of society. The development from theoretical concepts to real-world applications illustrates both the potential benefits and the challenges that come with integrating advanced technologies into everyday life. The ongoing discussion about AI ethics and regulation underscores the importance of managing these technologies responsibly to maximize their their benefits while minimizing potential harms.

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1. How to leverage sdn & nfv Susan James, Head of NFV Infrastructure SDN & Openflow World Congress 2016 We turn network evolution into business revolution

4. How to Leverage SDN & NFV | SDN & Openflow World Congress 2016 | Public | GFMC-16:000404 Uen | 2016-10-11 | Page 4 (9) AgilityUse software for quick revenues Increase operational efficiency Efficiency Speed Scale services up or down quickly New services/efficiencies not possible with current technologies Use commercial server not network equipment Multi-tenancy Save energy consolidating workloads VNF from small players Real-time network optimization Existing business New business Source: Infonetics May 2015 EXPECTATIONs ON NFV How to Leverage SDN & NFV | SDN & Openflow World Congress 2016 | Public | GFMC-16:000404 Uen | 2016-10-11 | Page 4 (9)

5. How to Leverage SDN & NFV | SDN & Openflow World Congress 2016 | Public | GFMC-16:000404 Uen | 2016-10-11 | Page 5 (9) network transformations Supported by Ericsson, Tier-1 operators have taken the lead, considering ambition, scope and deployment strategy Scenario 1 Scenario 2 Scenario 3 Scenario 4 Scenario 5 Vendor X Vendor N Vendor X Vendor M Vendor N Vendor X Vendor X Vendor M Many vendors, own SI Vendor XVendor Y Vendor Y Vendor Y Vendor Y Full de-coupling Complex vertical SI Decoupling HW/SW platform from VNFs HW decoupled from SW stack VNF islands Full stack from one vendor Full de-coupling, complex vertical & horizontal SI VNF VNF VNF VNF VNF VNF VNF VNF VNF VNF Virtualization Hardware Virt. Virt. Hardware Vendor N Virtualization Hardware Hardware Hardware Virtualization Virtualization

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