gt-michigan dgs 2014 presentation the internet of things - e koehler
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This stuff is happening now!
Sensor and control networks are being deployed at arecord rate
Some of these implementations are rather mundane
Video Surveillance
Smart Buildings
Some begin to stretch the imagination as to whatspossible
Advanced field telemetry
What follows are few real world use case examples
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State & Local Government
Intelligent Traffic SystemsAlgorithmic feedback
Allows for the dynamic changing of traffic patterns based on density
Control of weighted loops based on time of day
Highway Video Surveillance
Roadway hazards
Criminal Activity
Water Management
Automated potable water control & distribution
Reservoir Management Tank Management
Natural water flow controls (flood prevention) Flood Reservoir Management
Sluice gate controls
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Power Authorities
Utilize Remote Programmable Logic Controllers
provide for the monitoring and control Power generation
Power substations
Power distribution network
Video Surveillance
Perimeter Security Process and Procedure assurance
SMART GRID Feedback on residential and commercial power usage
Predictive AnalyticsSeasonal, Heat waves, Cold spells
Quick Disconnect Shunting relays provide automatic protection of transformer
infrastructure
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Airports
Homeland Defense/Transportation Security Authority Video Surveillancelow and high definition
Algorithmic anomaly monitoring
High definition facial profiling
Passenger background match and risk assessment Environmental & Luggage Monitoring
Explosives & Weapons
Flight information systems and monitors
Automated Luggage Tracking PCI Compliant Ticketing Kiosks
CDE must be scoped and segmented
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Medical/Healthcare
Medical Telemetry Patient Monitoring
Local
Remoteat home
Nurse/Physician Alerts (i.e., code red, blue, pink, etc.)
HIPAA Compliance requires strict scoping & segmentation
Perimeter and Infrastructure Security
Video Surveillance
Entry/Exit control/lockdown
Infirmary Emergency
PCI Compliant PoSAdmin/Bedside
CDE must be scoped and segmented
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Automated Manufacturing
Automated Tiered Production Flows Stationary and mobile robotics
Process control feedback
Flow Sensors
Programmatic issues
Hardware issues or failure
Quality Assurance Sensors
Video
Magnetic resonance Imaging
Millimeter wavelength
Weld or fusion inspection
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The Significance of the Network at the2014 Olympic Winter Games
First Olympic Games todeploy a VirtualizedNetwork
First Olympic Games todeploy IPTV technology
First Olympic Games tooffer free WiFi to theOlympic Family
One of the largestBYOD/Guest environmentsin the world
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First Fabric Enabled GamesEVERYTHING wasnetworked!
PrimaryData Center
MountainMediaCenter
Krasnaya
Polyana
Secondary
Data Center
IPTV Service
Games Network
Unified Communications Service
Organizing Committee Service
WiFi Services
Media Transparent LAN Services
Secure Management
VenuesData
CenterNetwork
Core
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2014 Ava a Inc. All
Technology Innovation & Evolution
Milliseconds to recovery
2 clicks to the secure zone
0.3 sec for Web Postings of Results
Secure & mobile Policy based guest access
Reliable IPTV & Enhanced QoE
From 0 to 40,000+ BYOD users in one day
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There are two courses of dealing with IoT or IoE
Do something
Requires systemic feedback
Requires communications Machine to Humans
Machine to machines
Requires policy environment for proper response Human procedures and protocol Machine to machine policies
Ingest and Analyze
Requires massive storageBig Data
Requires analytic processes Data Science and analytics staff
Parallel ProcessingHadoop HDFS
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Business Process Evented
Conference Room Launched
Dynamic Team Created
Video Escalation Leveraged
Team Members Notified
Collaboration is Optimized
Automated Manufacturing Machine Malfunctions
Doing something
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Analyzing the data
Things to consider The data influx can be massive!
Proper storage sizing is key! 5 to 10 times traditional EDW
Analytics infrastructure and staff Proper data/compute node scaling
Intense analytics? Simple trending?
Subject matter expertsPeople that KNOW the data!
Determine needs up front Real Time based on data streamStorm/Spark
Near Real Time based on atomic batchSpark
Non Real Time batchNormal Hadoop
Data Center Design Massive east/west capacity
Low deterministic latency rack to rack
Security for protecting confidential data
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IP Address explosion!
Sensors and actuators require addresses IPv6 is a huge address space
Sensors do not have resources to hold such huge addresses
Address gateways/ IPv6 address concatenation
We can not afford to waste IP space on transit routes!!! Non-IP path establishment technologies
IEEE 802.1aq/IETF RFC6329 Shortest Path Bridging
Avaya Fabric ConnectIETF Draft enhancements for L3 and multicast
There are also implicit security concerns in using IP as a path
protocol IP Scanning Infrastructure Attack
Confidential Data Breach
If we can remove the dependency on IP to establish servicepaths EVERYTHING becomes much EASIER!
BGP Tables are being overrun.IPv6 is exacerbating the issue!
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Security impactWhat makes this so difficult?
Traditional networking approaches utilize IP as a utilityprotocol to establish service paths
These paths are prone to IP scanning techniques thatare used to:
Discover network topology
Identify key attack vectors
Using traditional approaches for privacy and separationare costly and complex
Inadvertent Routed Black Holes
Poor resiliency
High Capital Expenditure (CAPEX) and Operational Expenditure(OPEX)
Using IP as the utility for establishing paths means that theyhave to be visible. This creates a Catch-22 which in turncreates complexity and cost
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Avayas Fabric Connect is truly Stealthy!
Fabric Connect is not dependent upon IP to establish
the service path
Service Paths are established by the use of SPBEthernet Switched Paths within Fabric Connect
As a result, path behaviors are established on a
completely different plane
ESPs are invisible to IP
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In Summary
The Internet of Things and the Internet of Everything are inevitable paths of
evolution for the Internet Many of the basic concepts of networking do not change
Most of the issues are in design for reachability and scale to the infrastructure
Scale upScale out
Use of the system and/or data generated will require back-end infrastructuresolutions
Enhanced automated UC for machine to human communications
Enhanced systems automation for machine to machine communications
Enhanced Data Analytics environment to utilize data
Security and IP addressing need to be considered up front!
End p oint Classi f icat ion Authentication
Authorization
Non IP based path establ ishment technologies prov ide for the c onsol idat ion andcon densation o f the IP address s pace.
IEEE 802.1aq Shortest Path Bridging
Enhanced Services via Avaya Fabric Con nect pro vide for Stealth
Network ing envi ronm ents
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THANK YOU!
Ed Koehleremail [email protected]
Blog Sitewww.edkoehler.wordpress.com
You Tube Channel
https://www.youtube.com/channel/UCn8AhOZU3ZFQI-YWwUUWSJQ
Corporate Websitewww.avaya.com
mailto:[email protected]://www.edkoehler.wordpress.com/https://www.youtube.com/channel/UCn8AhOZU3ZFQI-YWwUUWSJQhttp://www.avaya.com/http://www.avaya.com/https://www.youtube.com/channel/UCn8AhOZU3ZFQI-YWwUUWSJQhttps://www.youtube.com/channel/UCn8AhOZU3ZFQI-YWwUUWSJQhttps://www.youtube.com/channel/UCn8AhOZU3ZFQI-YWwUUWSJQhttps://www.youtube.com/channel/UCn8AhOZU3ZFQI-YWwUUWSJQhttp://www.edkoehler.wordpress.com/mailto:[email protected] -
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