What is your edge? From the cloud to the edge, extending your reach - - PowerPoint PPT Presentation

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What is your edge? From the cloud to the edge, extending your reach - - PowerPoint PPT Presentation

What is your edge? From the cloud to the edge, extending your reach April 2, 2019 Alan.Clark@suse.com A Definition of Edge The delivery of computing capabilities to the logical extremes of a network in order to improve the performance,


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What is your edge?

From the cloud to the edge, extending your reach

April 2, 2019 Alan.Clark@suse.com

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A Definition of Edge

“The delivery of computing capabilities to the logical extremes of a network in order to improve the performance, operating cost and reliability of applications and services. By shortening the distance between devices and the cloud resources that serve them, and also reducing network hops, edge computing mitigates the latency and bandwidth constraints of today's Internet, ushering in new classes of applications. In practical terms, this means distributing new resources and software stacks along the path between today's centralized data centers and the increasingly large number of devices in the field, concentrated, in particular, but not exclusively, in close proximity to the last mile network, on both the infrastructure side and the device side.” – State of the Edge 2018

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Many Edges

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Device Edge Operating Standalone Infrastructure Edge Core Cloud Edge Data Centers Access Edge Aggregation Edge Device Edge Gateway Core Edge

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Frictionless Shopping

Creating a seamless process from start to finish through the entire customer journey.

Modern consumers value convenience and speed, the ability to easily find products and a fast checkout

CC BY 2.0 Guiseppe Milo,

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Augmented Workforce

“One of the new rules for the digital age is to expand our vision of the workforce; think about jobs in the context of tasks that can be automated … and the new role of human skills…”

Public Domain

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Industry:Oil pipeline

Shannonpatrick17 CC BY 2.0

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Manufacturing

Collecting data from manufacturing machines in real time, enabling the company to accelerate failure responses, reduce unplanned downtime, improve factory- floor maintenance, and increase production efficiency

Steve Jurvetson, CC BY 2.0

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More Case for Edge

Supply chain Smart cities Remote security Video analytics Location services Optimized local content distribution and data caching Energy Drones Health Care

  • Telemedicine

transportation solutions

  • Driverless cars and trains

Mobile Connectivity Remote Location (Finance/Retail) Utilities (water, gas, electric, facilities management)

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Common Thread For The Edge Cases

Distributed infrastructure demands a different architecture Characteristics

  • Massive data growth
  • Workloads move closer to the end user
  • Software applications tap into local content

and real-time information

  • Meet application latency (< 20 ms) requirements
  • Deliver an improved end user experience
  • Do not place unreasonable demands on

connectivity to the core

  • Network needs to be smarter
  • Work in conjunction with the core capacity

Sense Process Act

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Common Thread For The Edge Cases

Characteristics

  • Massive data growth
  • Workloads move closer to the end user
  • Software applications tap into local content

and real-time information

  • Meet application latency (< 20 ms) requirements
  • Deliver an improved end user experience
  • Do not place unreasonable demands on

connectivity to the core

  • Network needs to be smarter
  • Work in conjunction with the core capacity

Distributed infrastructure demands a different architecture Demands

  • High service uptime
  • Streamlined operation
  • Admin/Operator - aggregate, supervise and

expose massively distributed infrastructure resources

  • DevOps
  • Implement new kinds of services that may be

deployed/managed on-demand

  • Critical infrastructure
  • Enable high performance, reduce latency, improve

availability, scalability, address security need, improve fault management

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… More to consider…

Vast numbers of deployments People time and skills demands Remote or unreachable environments

  • Zero touch
  • Physical designs – limited power, processing

capacity, security, dirt, humidity, vibration

Moving data isn’t free

  • The data transfer & compute requirements

vary by network layer

Consistency with the core

  • Think Control
  • Unified orchestration
  • operational mechanisms
  • Service management

life cycle management

  • Easy deployment
  • Low touch manageability
  • Maintainability
  • Rapid response to events
  • Fast recovery
  • Fault management
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Open Source Edge - Chaos?

IEEE-SA(1934)

ETSI-MEC

Edge Computing Group

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Open Source Edge

IEEE-SA(1934)

ETSI-MEC

Edge Computing Group

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Open Source Edge

IEEE-SA(1934)

ETSI-MEC

Edge Computing Group

Creating an open architecture for fog computing that is necessary to enable interoperability and scalability.

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Fog computing is a:

A horizontal, system-level architecture that distributes computing, storage, control and networking functions closer to the users along a cloud-to-thing continuum.

An extension of the traditional cloud-based computing model

  • Where implementations of the architecture can reside in multiple layers of a network’s topology

Preserved benefits of cloud

  • Including containerization, virtualization, orchestration, manageability, and efficiency

Architecture Pillars of OpenFog

  • Security, scalability, openness, autonomy, RAS (reliability, availability and serviceability), agility,

hierarchy, and programmability.

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Fog Deployment Models

Raw data & data processing Intelligence Creation

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Open Source Edge

IEEE-SA(1934)

ETSI-MEC

Edge Computing Group

Encompasses various approaches to disperse Information Technology (IT), Communication Technology (CT) and Operational Technology (OT) Services through information messaging infrastructure as well as legacy and emerging multi-access networking technologies

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Open Source Edge

IEEE-SA(1934)

ETSI-MEC

Edge Computing Group

Creating a standardized,

  • pen environment which

will allow the efficient and seamless integration

  • f applications from

vendors, service providers, and third- parties across multi- vendor Multi-access Edge Computing platforms

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ETSI MEC Specifications

  • Best Practice and Guidelines
  • Use Cases and Requirements
  • Technical Requirements
  • Reference Architecture
  • UE application interface
  • Bandwidth Management API
  • UE Identity API
  • Location API
  • General principles for Mobile

Edge Service APIs

  • Radio Network Information API
  • Mobile Edge Platform

Application Enablement

  • Mobile Edge Management;
  • Application lifecycle, rules

and requirements management

  • System, host and platform

management

  • General principles for MEC

Service APIs

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Open Source Edge

IEEE-SA(1934)

ETSI-MEC

Edge Computing Group

…standardizing on how REST APIs are described.

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Open Source Edge

IEEE-SA(1934)

ETSI-MEC

Edge Computing Group

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LF Edge Umbrella

Akraino:

  • An open source software stack that supports high-availability cloud services optimized for edge

computing systems and applications. The Akraino Edge Stack is designed to improve the state of edge cloud infrastructure for enterprise edge, OTT edge, and carrier edge networks.

Edge X Foundry:

  • A loosely-coupled microservices framework with a focus on the IoT Edge. It simplifies the process

to design, develop and deploy solutions across industrial, enterprise, and consumer applications.

Edge Virtualization Engine:

  • A new project to develop new levels of control of cloud native applications through virtualization of
  • n-prem edge devices.

Home Edge:

  • Intelligent home edge computing open source framework, platform and ecosystem running on a

variety of devices with interoperable, flexible, and scalable edge computing services with a set of APIs that can also run with libraries and runtimes.

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Open Source Edge

IEEE-SA(1934)

ETSI-MEC

Edge Computing Group

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Eclipse IoT

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Open Source Edge

IEEE-SA(1934)

ETSI-MEC

Edge Computing Group

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StarlingX

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Application Delivery Physical Infrastructure: Multi-platform Servers, Switches, Storage Container Management

SUSE CaaS Platform

Storage

SUSE Enterprise Storage

Networking

SDN and NFV

Compute

Virtual Machine & Container

Multimodal Operating System

SUSE Linux Enterprise Server

Platform as a Service

SUSE Cloud Application Platform

Private Cloud / IaaS

SUSE OpenStack Cloud

Software-Defined Infrastructure

SUSE Manager

Infrastructure & Lifecycle Management

Public Cloud

SUSE Cloud Service Provider Program

SUSE Software-defined Infrastructure and Application Delivery Approach

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Leverage SDI To The Edge

To meet the demands:  Massive Data  Move workloads  Apps tap  User experience  Connectivity

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References

[1] Cloud Edge Computing, Beyond the Data Center, https://www.openstack.org/assets/edge/OpenStack-EdgeWhitepaper-v3-online.pdf [2] http://archive.sltrib.com/article.php?id=1383502&itype=cmsid [3] https://nrf.com/blog/new-kind-customer-whats-driving-retail-evolution [4] https://www2.deloitte.com/insights/us/en/focus/human-capital-trends/2017/future-workforce-changing-nature-of-work.html [5] https://medium.com/cerebrus/proximity-computing-edgy-edgier-edgiest-94cc92971cf6 [6] ETSI MEC Reference Architecture: https://www.etsi.org/deliver/etsi_gs/MEC/001_099/003/01.01.01_60/gs_MEC003v010101p.pdf [7] https://www.ibm.com/downloads/cas/NDE0G4LA [8] https://www.suse.com/media/success-story/knorr_bremse_ag_ss.pdf [10] https://www.etsi.org/deliver/etsi_gs/MEC/001_099/003/01.01.01_60/gs_MEC003v010101p.pdf