Internet of Everything - Edson Celestino.
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IoE ( Internet of Everything ) Impact on Service Providers
Edson Celestino Customer Solutions Architect
ecelesti@cisco.com
June 25th 2015
Cisco Confidential 2 © 2013-2014 Cisco and/or its affiliates. All rights reserved.
7.2 6.8 7.6
The Internet of Things is Already Here
Rapid Adoption rate of digital
infrastructure: 5X faster than electricity and
telephony
50 Billion “Smart Objects”
50
2010 2015 2020 0
40
30
20
10 Bill
ions
of d
evic
es
25
12.5
Inflection point
Timeline Source: Cisco IBSG, 2011
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Source: Cisco IBSG, 2011 The World Generates More Than 2 Exabytes of Data Every Day
Connected Objects Generate Big Data
46 million smart meters in the U.S alone 1.1 billion data points (.5TB) per day
10TB of data for every 30 minutes of flight With >25,000 flights per day, petabytes daily
A large offshore field produces 0.75TB of data weekly A large refinery generates 1TB of raw data per day
A single consumer packaged good manufacturing machine generates 13B data samples per day
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IoE vs IoT • Internet of Everything: The Internet of Everything
(IoE) is the intelligent connection of people, process, data and things.
• Internet of Things: The Internet of Things (IoT) is the network of physical objects accessed through the Internet
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In 2017 IP traffic in Mexico will reach 1.2 Eb
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Technology Trends that will change the future of the Industry
Network Simplification
Real Time Analytics
Fog Computing
Self Learning Networks
Disruptive trends Architectural trends for an optimized intelligent service delivery infrastructure
nFV DevOps
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*e.g., SDN, PCE, Plug & Play, IPv6, Segment Routing
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Simplification Via A Leaner Network
MPLS IGP BGP
LDP TE
FRR
SDH IPv6
IPv4
PIM
IPv6 SR SDN ACI
Complexity
More Less Perfect
“Use just enough complexity to facilitate service innovation and no more”
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Data Centre/Cloud
Smart Objects/Sensors
IoT and Fog Computing Architecture Data Points, Variety & Velocity, Security, Resiliency, Latency
Fog Network
Core Network
Tens of Millions to Billions Embedded Systems & Sensors
Low power, low bandwidth
Tens of Thousands to Millions Multi-Service Edge
3G/3G/LTE/WiFi/RF Mesh/PLC
Thousands Backhaul
IP/MPLS, Security, QoS, Multicast
Hundreds Data Centre/Cloud
Hosting IoT Analytics
Sensing
Control
Correlation Millsecond /seconds response
Transactional response times
KB-GB
GB-TB
TB-PB
Infinite
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Tech Radar Trends
Real-time Analytics
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Notify
Real-Time Analytics At The Network Edge (Fog)
Store
Analyse Act
Notify
Act
Store Analyse
Data Centre DC Network Edge/Fog
Traverse network for storage
Analyse possibly stale data
Non-realtime actions/actuations
Historical data Notifications
Long term analytics
Interprets interesting real-time data
Realtime actions/actuations
If data interesting transmit to cloud
Store indexed data for later retrieval
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Real-time Analytics Between The Fog and Cloud
Fog Sensors Cloud
Storage
Realtime Data
Control/Actuation
Transient
milliSec/Seconds
Months/Years
Minutes/Days/Weeks Response
Visualisation _--_- Analytics
Seconds/Minutes
Semi-Permanent
Filter to process data locally Remaining pass to cloud
_--_- Business Intelligence Dashboards KPIs
_--_- _--_- Control Loop
Fog/Edge Environment Data Centre
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Distributed Analytics
Advanced Networking
Technologies
Self Learning Networks
Model what is normal behaviour
Adapt models as normal behaviour and anomalies evolve
Recognising malicious behaviour that adapts to look “normal”
Differentiate noise from anomalies
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vCGN (via
CSR1000v)
Adaptive Security
Appliance (ASA + VSG)
Email Security (Ironport)
Web Security (Ironport)
Network Analysis Module (vNAM)
Netscaler Load
Balancer
Quantum
Policy Suite
vCPE
(CSR1000v)
vIOS Classic
OnePK SDK
IOS-XR
Virtual Route Reflector
(32bit and 64 bit)
PGW/SGW (STAR-OS)
Virtual L2
Switch (Nexus 1000v)
Virtual Forwarder
(L2 / L3 forwarder)
Load balancer
(VPP)
vDPI (vSCE)
6-4 Softwire Concentrato
(VPP)
Quantum
WAN Orchestration
VIRL
Wireless LAN
Controller
Prime Access
Registrar (RADIUS)
Prime Network
Registrar (DNS and
DHCP)
Quantum WAN
Orchestration
Prime Central
Prime Fulfillment
Prime Provisioning
Prime Security Manager
Prime Infras
Mobility Services Engine
Identity Services Engine
Wide Area Application Services (vWaaS)
Deep Packet Inspection
(CRS1000v)
vBNG (CSR1000v)
Ipsec Gateway
(CRS1000v)
SGSN/ GGSN
(STAR-OS)
vSecGW (ASR9000)
eWAG/ ePDG
(STAR-OS)
MME (STAR-OS)
eWAG/ePDG (STAR-OS)
MME
(STAR-OS)
CDN
User Plane Appliances
Control Plane Simulation & Test
Network Control
Routing / Switching / Gateways
OSS/BSS SP Apps
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Management
Business outcome
Software Dev
Engineering
Operations
Cisco /dev/innovate Pod Tested on simulated environment Deployment
Acknowledgement to Akshat Sharma for the concept
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/dev/innovate Cisco innovation acceleration program
Bridging the gap between innovation and production
Comprehensive hardware, software, solutions POD
Includes technical, BDM & community support Security Video
Self Learning Networks IoT
Big Data & Analytics Virtualisation
Collaboration
Cisco Software
Open Source
Customer Apps
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How Cisco is aligned with this major trends
Network Simplification
Real Time Analytics
Fog Computing
Self Learning Networks nFV DevOps
• Peering Distribution
• Segment Routing
• BW Increase
• Open Architecture for stats gathering (Mate)
• Video and Web Caching
• Services distribution
• VDS IS/TC
• Orchestration and Automation (WAE)
• SDN Capable platforms
• Full Portfolio (CSR, vIOS-XR, vFW, VDS IS, VDS TC)
• Innovation POD
• VIRL
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§ Simplify network: reduce the control plane protocol § Increase capacity is a must (links, Routers and Optical)
§ Distribute and increase national peering points
§ Define a caching strategy (for free or sell service?)
§ Distribute services and evaluate Virtualized options (Cache, DNS, etc.)
§ Deploy a tool to understand better traffic patterns
§ Deploy tool for capacity planning (upgrade specific points of the infrastructure in a timely manner)
Summary
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