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ONS Amsterdam September 2018
The Journey to Edge
Orchestration
Shay Naeh @ Cloudify
Agenda
➔ The journey to edge computing
➔ Classification: Hybrid, Federated and Edge Cloud
➔ Sample use cases
➔ Challenges
➔ Orchestration Models
➔ Best Practices
Back to the Future….
Source: Peter Levin, “Return to the Edge, end of cloud computing”
Hybrid Cloud
On-PremAWS
EKS
GCP/GKE
https://cloudify.co/knowledge-base/multi-cloud-governance-solution/
Federated Kubernetes
On-PremAWS
EKS
GCP/GKE
Multiple Clusters
➔ Redundancy
➔ Load balancing & performance
➔ Proximity
Edge Cloud
Mobile Edge Computing
The Edge Computing Market Driver
The challenge of Enterprise IT becomes vastly harder as we move to distributed cloud and edge computing
IT Accelerated
Video
Vehicles
Health Retail
Carching
Services
Augmented
Reality
Network
Cloud Standarts
Faster Time
To Market
New Market
Revenue
Generation
Proximity Virtualization
QOE Low
Latency
Industry
Collaboration
Many Use
Cases
Business
Transformation
Technical
Integration
MEC
Move Workloads to the
Edge
➔ Latency
➔ Data Tsunami
Edge Computing
Edge computing is a method of
optimising cloud computing
systems by performing data
processing and real time decisions
at the edge of the network, near
the source of the data.
Real-time Data Driven
1000’s new and different kind of
“Data Centers”
● Cloudlets
● Edge Data Centers
● uCPE
● Cloud in a box
The bigger problem: Data Tsunami ahead
Billions of connected devices
that are generating vast
amount of data at the edges of
the network.
● IOT
● Mobility
● AI / AR
● M2M
● Smart “Things” (Buildings, airplanes,
ships, places etc.)
© Cloudify Confidential. Not for distribution.
The Edge Is Here
“The edge will be even bigger than the cloud” -Michael Dell
CAGR
32.99%
Market Highlights
Edge computing solutions are widely
adopted across the manufacturing sector
IT & telecom segment is anticipated to
contribute to the growth of the market
Large enterprises segment is dominating
the market
Healthcare & life sciences segment is
anticipated to be the fastest-growing
segment
“The edge will be even bigger than the cloud” -Michael Dell
The Future of Networking: Serverless Edge
Reference: 5G To The Edge With AT&T: A Fully Orchestrated Open Source Stack
14
ONAP
Edge1 Edge2 Edge3
SDC
1
2
3
Car
Endpoint
Car
Endpoint
15
Demo Overview
MQTT
Gateway
VerneMQ
FaaS Engine
Kubeless
Persistence
MongoDB
MQTT
Gateway
VerneMQ
FaaS Engine
Kubeless
Car
Endpoint
Car
Endpoint
Orchestrator
Cloudify
Monitoring
Grafana Prometheus
MQTT
Publish
MQTT
Subscribe
MQTT
Publish
MQTT
Publish
Webhook
Webhook
Edge Orchestration Challenges
• Complex modeling
• Service composition of multiple masters / edges
• No Networking - Autonomous
• Resource constraints
• Security
• Bandwidth cost, capacity….
• Scale
• Satellite coverage
Challenge (Cont)
● Management
● Security
● Networking
● Capacity
● Scale
● …..Orchestration ?
Scaling Challenges
• Auto Scaling of Kubeless FaaS
- Using multiple PODs as load increases
• Auto Scaling of Microservices
- Generating more replicas as load increases
• Auto Scaling of Kubernetes Cluster
- Adding more Kubernetes Nodes
TOSCA - Edge Automation at Scale
The Boeing 787 could not be produced
without standard modeling
Example from the Manufacturing Industry
Cloudify
Orchestration & Management
Service Instantiation
Blueprint Parser
Deployment
Graph
Service
Blueprint
Deployment
Inputs
Edge Computing Orchestration
Portal Orchestration Integration
Task
Broker
Controller
Controller as a
remote task relay and
Network bridge
Delegation /
Autonomous
Execution
Smart (Autonomous) Cloud/Edge
Simple (Connected) Cloud/Edge
Local
Controller
Controller Monitoring and
Management
Local CLoud
Cross Edge Workflows
Execute workflow on
Master Orchestrator
Execute workflow on
relevant Edge
Orchestrators
Execute operation on
relevant VNFs
Edge Computing Platforms
Portal Orchestration Integration
x86 HW
Virt Layer
Apps VNFs
• Autonomous
• Self Healing
• Support disconnected (headless) operation
• Modular
• API Enabled
• SDN Enabled
• Based on Distributed Architecture (Orchestration
Hierarchy / Symmetric)
uCPE - A Real use case of Edge Computing
x86 HW
Plain old
“COTS”
Virt Layer
Apps VNFs
Portal Orchestration Integration
Controller
New App or
Service
1
Admin on-board new
application or service
and upload to master
service orchestrator
2
Master Service
Orchestrator instantiate
service and send
relevant blueprint to
remote (edge)
orchestrator
4
Service status, metrics
and KPI sent back to
Master Orchestrator
Local orchestrator
instantiate the app or
service using local
execution / plugins
3
Automated and Orchestrated
100% “Humanless” process
Micro Service Pattern
TOSCA Blueprints
Composite Service
Deployment Update
Service Composition
Proxy Pattern
+ =
Requirements / Capabilities
TOSCA Topology
What can we do with it ?
Network
Branch Office
Mass Transportation
Energy Industry
Point of presence
Smart homes / cities
Military / Defence
Thank You
Symmetric Edge Clouds
Bridging the Edge and the Cloud

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Gen AI in Business - Global Trends Report 2024.pdf
 

The Journey to Edge Orchestration

  • 1. ONS Amsterdam September 2018 The Journey to Edge Orchestration Shay Naeh @ Cloudify
  • 2. Agenda ➔ The journey to edge computing ➔ Classification: Hybrid, Federated and Edge Cloud ➔ Sample use cases ➔ Challenges ➔ Orchestration Models ➔ Best Practices
  • 3. Back to the Future…. Source: Peter Levin, “Return to the Edge, end of cloud computing”
  • 6. Multiple Clusters ➔ Redundancy ➔ Load balancing & performance ➔ Proximity
  • 8. Mobile Edge Computing The Edge Computing Market Driver The challenge of Enterprise IT becomes vastly harder as we move to distributed cloud and edge computing IT Accelerated Video Vehicles Health Retail Carching Services Augmented Reality Network Cloud Standarts Faster Time To Market New Market Revenue Generation Proximity Virtualization QOE Low Latency Industry Collaboration Many Use Cases Business Transformation Technical Integration MEC
  • 9. Move Workloads to the Edge ➔ Latency ➔ Data Tsunami
  • 10. Edge Computing Edge computing is a method of optimising cloud computing systems by performing data processing and real time decisions at the edge of the network, near the source of the data. Real-time Data Driven 1000’s new and different kind of “Data Centers” ● Cloudlets ● Edge Data Centers ● uCPE ● Cloud in a box
  • 11. The bigger problem: Data Tsunami ahead Billions of connected devices that are generating vast amount of data at the edges of the network. ● IOT ● Mobility ● AI / AR ● M2M ● Smart “Things” (Buildings, airplanes, ships, places etc.)
  • 12. © Cloudify Confidential. Not for distribution. The Edge Is Here “The edge will be even bigger than the cloud” -Michael Dell CAGR 32.99% Market Highlights Edge computing solutions are widely adopted across the manufacturing sector IT & telecom segment is anticipated to contribute to the growth of the market Large enterprises segment is dominating the market Healthcare & life sciences segment is anticipated to be the fastest-growing segment “The edge will be even bigger than the cloud” -Michael Dell
  • 13. The Future of Networking: Serverless Edge Reference: 5G To The Edge With AT&T: A Fully Orchestrated Open Source Stack
  • 15. Car Endpoint Car Endpoint 15 Demo Overview MQTT Gateway VerneMQ FaaS Engine Kubeless Persistence MongoDB MQTT Gateway VerneMQ FaaS Engine Kubeless Car Endpoint Car Endpoint Orchestrator Cloudify Monitoring Grafana Prometheus MQTT Publish MQTT Subscribe MQTT Publish MQTT Publish Webhook Webhook
  • 16. Edge Orchestration Challenges • Complex modeling • Service composition of multiple masters / edges • No Networking - Autonomous • Resource constraints • Security • Bandwidth cost, capacity…. • Scale • Satellite coverage
  • 17. Challenge (Cont) ● Management ● Security ● Networking ● Capacity ● Scale ● …..Orchestration ?
  • 18. Scaling Challenges • Auto Scaling of Kubeless FaaS - Using multiple PODs as load increases • Auto Scaling of Microservices - Generating more replicas as load increases • Auto Scaling of Kubernetes Cluster - Adding more Kubernetes Nodes
  • 19. TOSCA - Edge Automation at Scale The Boeing 787 could not be produced without standard modeling Example from the Manufacturing Industry Cloudify Orchestration & Management
  • 21. Edge Computing Orchestration Portal Orchestration Integration Task Broker Controller Controller as a remote task relay and Network bridge Delegation / Autonomous Execution Smart (Autonomous) Cloud/Edge Simple (Connected) Cloud/Edge Local Controller Controller Monitoring and Management Local CLoud
  • 22. Cross Edge Workflows Execute workflow on Master Orchestrator Execute workflow on relevant Edge Orchestrators Execute operation on relevant VNFs
  • 23. Edge Computing Platforms Portal Orchestration Integration x86 HW Virt Layer Apps VNFs • Autonomous • Self Healing • Support disconnected (headless) operation • Modular • API Enabled • SDN Enabled • Based on Distributed Architecture (Orchestration Hierarchy / Symmetric)
  • 24. uCPE - A Real use case of Edge Computing x86 HW Plain old “COTS” Virt Layer Apps VNFs Portal Orchestration Integration Controller New App or Service 1 Admin on-board new application or service and upload to master service orchestrator 2 Master Service Orchestrator instantiate service and send relevant blueprint to remote (edge) orchestrator 4 Service status, metrics and KPI sent back to Master Orchestrator Local orchestrator instantiate the app or service using local execution / plugins 3 Automated and Orchestrated 100% “Humanless” process
  • 25. Micro Service Pattern TOSCA Blueprints Composite Service Deployment Update
  • 26. Service Composition Proxy Pattern + = Requirements / Capabilities TOSCA Topology
  • 27. What can we do with it ? Network Branch Office Mass Transportation Energy Industry Point of presence Smart homes / cities Military / Defence
  • 30. Bridging the Edge and the Cloud