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Evolved Capillary
Networks
Mobile World Congress 2015
MWC15 | Ericsson AB | 2015-02-11 | Page 2
Features
IoT Framework
Virtual Middleware
Cloud
Mobile
Core
Capillary
Network
Function &
Manager
Capillary
Gateway
Bluetooth,
802.11,
802.15.4
User
Management
Authentication based on SIM credentials
Auto-conf, Discovery and Registration
Platform for Middleware & Services
GW Selection for Machine Devices
Storage and filtering of data
MWC15 | Ericsson AB | 2015-02-11 | Page 3
› Large scale IoT device
deployments and device
management
– Costly to manage as number of devices
explode
› Processing large data efficiently
– Different data has different
requirements
– Real-time vs. non-real-time
› Need to support a variety of
applications with different
requirements
Challenges
MWC15 | Ericsson AB | 2015-02-11 | Page 4
Large-Scale
Management
Management
LWM2M
Proxy
Auto-conf, Discovery and Registration
One-to-Many Instead of One-to-One
Lower Management, Deployment Cost
Efficient Use of Network Resources
MWC15 | Ericsson AB | 2015-02-11 | Page 5
Distributed
Virtualization
Aggregation & Processing on Edges
Deploy Software on Demand
Reduced Overhead of App. Instances
Auto-scaling Compute Resources
Low Latency Control Loops
MWC15 | Ericsson AB | 2015-02-11 | Page 6
Opportunities
 E2E Management and Group Management of devices
 Paradigm change from one-to-one to one-to-many
 Automated tasks and no cost management
 Lightweight virtualization for content aggregation
 Enabling content aggregation near data sources
 Dynamic provisioning of resources on demand
 Enabling processing and aggregation of large data sets

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Capillary Networks MWC 2015

  • 2. MWC15 | Ericsson AB | 2015-02-11 | Page 2 Features IoT Framework Virtual Middleware Cloud Mobile Core Capillary Network Function & Manager Capillary Gateway Bluetooth, 802.11, 802.15.4 User Management Authentication based on SIM credentials Auto-conf, Discovery and Registration Platform for Middleware & Services GW Selection for Machine Devices Storage and filtering of data
  • 3. MWC15 | Ericsson AB | 2015-02-11 | Page 3 › Large scale IoT device deployments and device management – Costly to manage as number of devices explode › Processing large data efficiently – Different data has different requirements – Real-time vs. non-real-time › Need to support a variety of applications with different requirements Challenges
  • 4. MWC15 | Ericsson AB | 2015-02-11 | Page 4 Large-Scale Management Management LWM2M Proxy Auto-conf, Discovery and Registration One-to-Many Instead of One-to-One Lower Management, Deployment Cost Efficient Use of Network Resources
  • 5. MWC15 | Ericsson AB | 2015-02-11 | Page 5 Distributed Virtualization Aggregation & Processing on Edges Deploy Software on Demand Reduced Overhead of App. Instances Auto-scaling Compute Resources Low Latency Control Loops
  • 6. MWC15 | Ericsson AB | 2015-02-11 | Page 6 Opportunities  E2E Management and Group Management of devices  Paradigm change from one-to-one to one-to-many  Automated tasks and no cost management  Lightweight virtualization for content aggregation  Enabling content aggregation near data sources  Dynamic provisioning of resources on demand  Enabling processing and aggregation of large data sets

Notes de l'éditeur

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