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The Key Role of DPI and Network
Intelligence in Mobile NetworksMarch 16th, 2011
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Agenda
Overview of Network Intelligence and the Network Intelligence(NI) Alliance
Erik Larsson, Chairman of the NI Alliance
The New DPI: Challenges & Opportunities In The LTE Era,including findings from a recent Heavy Reading white paper
Graham Finnie, Chief Analyst, Heavy Reading
Case study of solutions based on DPI and Network Intelligence
Sunil Laroiya, Senior Product Manager, CommProve
Conclusion and Q&A
2
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Network Traffic Visibility (Network Intelligence)
is Crucial for Everyday Activities
Optimizing Mobile services
Financial transactions
IPTV viewing
Networks
Etc. Monetizing
Market research
Telecom services
Etc.
Protecting Protecting countries against criminals Protecting PCs and enterprises against
hackers
Etc.
3
NetworkIntelligence
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The Network Intelligence Value Chain
4
Traffic capture and processing
Traffic decoding and
extraction of metadata
Solutions & software based
on Network Intelligence
The Internet:
a giant, dynamic database!
NetworkIntelligenceVa
lueChain
Solutions leveraging NI arebuilt on technology providedby specialized vendors whoeach play a critical role in avalue chain from packet
processing, to traffic decoding,to complete solutions
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The Network Intelligence Value Chain
5
Traffic capture and processing
Traffic decoding and
extraction of metadata
Solutions & software based
on Network Intelligence
The Internet:
a giant, dynamic database!
High-speed packet capture and processing,
processing platforms and systems
Software and probes focusing on traffic parsing
and extraction of communications metadata
Solutions for cyber security, subscriber analytics,network optimization, service assurance, etc.
Software for testing and data analysis
NetworkIntelligenceVa
lueChain
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The Network Intelligence (NI) Alliance
6
Traffic capture and processing
Traffic decoding and
extraction of metadata
Solutions & software based
on Network Intelligence
The Internet:
a giant, dynamic database!
NetworkIntelligenceVa
lueChain
The objective is to double the numberof members within the next 12 months
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NI Alliance Objectives & Activities
Objectives
Create closer working relationships between NI Alliance members to
better serve customer needs
Educate the market on the role and importance of network intelligence
Activities
Joint marketing & communication (e.g. events, Webinars, WPs)
Technical integration between NI Alliance members (e.g. Catalyst)
Promotion of standards to facilitate NI adoption (e.g. IPFIX)
7
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Agenda
Overview of Network Intelligence and the Network Intelligence(NI) Alliance
Erik Larsson, Chairman of the NI Alliance
The New DPI: Challenges & Opportunities In The LTE Era,including findings from a recent Heavy Reading white paper
Graham Finnie, Chief Analyst, Heavy Reading
Case study of solutions based on DPI and Network Intelligence
Sunil Laroiya, Senior Product Manager, CommProve
Conclusion and Q&A
8
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The New DPI: Challenges &
Opportunities In The LTE Era
www.heavyreading.com
mailto:[email protected]://www.heavyreading.com/http://www.heavyreading.com/mailto:[email protected]7/30/2019 55798534 DPI and NI in Mobile Networks
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eNodeB
MME
Internet
SAE-GW
S-GW P-GW
HSS PCRFSGSN
RNC
3G
2G
Non
3GPPeNodeB
X2
S1-U
S1-MME
S4
S11
Policy In The Context of 4G
EPC defined in 3GPP
TS23.401 and TS23.402 Replaces GPRS corenetwork with flatter all-IPnetwork
PCRF is effectively an
essential element, notstrictly part of EPC butrequired to give dynamiccontrol over bandwidth,charging and network
usage Packet Data Network
Gateway (P-GW) is a keynode for policyenforcement
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Release 8 Policy Control & Charging
AF
SPRH-PCRFV-PCRF
BBERF PCEF
OFCS
OCS
Gxx
Roaming, FMC
S9
Rx
Gx
Sp
Gy
Gz
Data plane
Control Plane
3GPP Network,
Home Network
Non-3GPP Network,
Visited Network
Key: AF: Application
Function; H-PCRF: HomePolicy Charging & Rules
Function; V-PCRF:
Visited Policy Charging &
Rules Function; SPR:
Subscriber Profile
Repository; BBERF:Bearer Binding & Event
Reporting Function;
PCEF: Policy Charging
Enforcement Function;
OCS: Online Charging
System; OFCS: Offline
Charging System
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Locating DPI In The PCC Architecture
AF
SPRH-PCRFV-PCRF
BBERF PCEF
OFCS
OCS
Gxx
S9
Rx
Gx
Sp
Gy
Gz
Data plane
Control Plane
3GPP Network,
Home Network
Non-3GPP Network,
Visited Network
DPI
DPIDPI
Serving
GatewayPacket Gateway
E.g. P-CSCF
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Intelligence & Analytics Is NowCentral To Telco Thinking
0% 10% 20% 30% 40% 50% 60% 70% 80% 90% 100%
Enable us to understand subscriber behavior
and create profiles
Improve our ability to meter and charge
customers for service features
Improve quality and depth of network traffic
and applications reportings
Enable us to offer tiered or customized services
Enable us to apply fair use management
techniques
Percentage of Respondents
On a scale of 1 to 5, with 5 being "critically important" and 1 being "not
important at all," please rate the following catalysts in your company's decisionto deploy its policy management infrastructure.
5 (Critical) 4(Important) 3 2 1
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The Need To Know
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Subscribers Rule
Question: Which of the following statements best represents your companys viewabout its planned use of policy management solutions?
68%
32%
Our long-term goal is to
apply most policies at
the level of individual
subscribers
Many policies willcontinue to be applied at
a general level or to
applications that are
running on the network.
15
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Smart Networks: A To Do List Apply yield management techniques to maximize efficient use of
resources
Gain an ever-deeper understanding of what customers are doing, inreal time where necessary
Allow customers to apply theirown filters to their broadband services(charge me only for this; prevent my children doing this, etc)
Warn customers about threats/problems, and offer solutions
Enable users (consumers) to control non-flat-rate expenditure in real
time (inform/warn; deploy real-time device meters; offer alternatives) Anticipate customer needs and offer services related to patterns of
use (analogous to targeted Web destination advertising and e-commerce recommendation engines)
Enable enterprises to direct services and applications at relevant
customers (those who are in a specific location, using a specificdevice, on a network with these characteristics etc)
Enable developers to refine and target services more effectively,based on detailed (anonymized) subscriber behaviour and usageprofiling.
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Use Case: Service Optimization Based OnCustomer Value And Usage Patterns
Identify services that Platinum tier customer A values, taking
the guesswork out of this process When key parameters for these services e.g., gaming-- fall
below threshold, provide priority access to these services
Other possible actions: Shift the customer on to an alternative network infrastructure (e.g. to a
WiFi network) when available, to improve gaming service performance Alert operator when the customer stops using applications of knownvalue, and take appropriate action
Alert operator to significant changes in the customers application usepatterns that might be a trigger for an upgrade offer
Alert operator when an unknown/new device is utilized by the customer
Allow the service provider to offer related services from third partypartners, based on patterns of use among similar customers
Same capabilities could used to automate 0.facebook.comtype services
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Technology Implications, 1
An up to date view of Internet applications protocol
signaturesan area of continual and accelerating change The latest heuristic and behavioral tools for packet flow
analysis to identify disguised or encrypted traffic
Detailed insight into content (e.g. not just identify P2P, butidentify specific types of P2P content in order to filter good
from bad content) User/service behavioral analysis to refine the performance
of services and service offers
Ability to extract more information from Web sessions (set-
up time, duration, device etc), sometimes calledmetadata, to improve customer experience, meet legaldata retention requirements, and so on
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Technology Implications, 2
More broadband service customers, with ultimately all mobilecustomers becoming broadband customers
Greater proportion of customers to whom DPI-based policyenforcement must be appliedin the LTE era, in fact, this islikely to mean all customers
More customers accessing Internet services, generating aneed for more intelligent handling of traffic
More traffic per customer as a result of the transition to LTE
More applications and services per customer
More powerful devices with new capabilities such as multi-tasking, HD video handling, etc
More policy & DPI decisions/transactions per customer
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Build Or Buy: Whats Right For TEMs?
Is the value of this capability rising for our customers? Do we need these capabilities for strategic reasons?
Is this adjacent to our existing skill-sets?
Do we have the core skills in-house to add this?
Is this domain evolving rapidly? Will the cost of insourcing exceed the cost of outsourcing?
Can we easily acquire and retain these capabilities fromreliable suppliers?
Can we easily integrate a third party product into oursolution?
Can we still differentiate ourselves if we buy this capabilityin from a third party?
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Why Outsourcing Is Likely ToIncrease
Market and technology development cycles are bothspeeding up requiring continual upgrades and shorterrelease cycles in this area
There is a requirement for a wider set of capabilitiesthan hitherto to meet overall customer goals,demanding more specialized IT skills and straininginternal capabilities
Internal cost and resource constraints are increasingfor TEMs as competition intensifies
The existence of a flourishing supplier ecosystem andstandardized approaches to hardware design alloweasier integration of third party technologies
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Summary
DPI will be a key technology underpinning thetransition to LTE and all-IP mobile networks
This transition will also increase the need for abetter understanding of traffic, applications andsubscribers
This expanded role will put great pressure onexisting DPI engines, making outsourcing tospecialists more attractive
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Agenda
Overview of Network Intelligence and the Network Intelligence(NI) Alliance
Erik Larsson, Chairman of the NI Alliance
The New DPI: Challenges & Opportunities In The LTE Era,including findings from a recent Heavy Reading white paper
Graham Finnie, Chief Analyst, Heavy Reading
Case study of solutions based on DPI and Network Intelligence
Sunil Laroiya, Senior Product Manager, CommProve
Conclusion and Q&A
23
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What we do CommProve is a leading vendor of advanced solutions for real-time monitoring and
management of 2G, 3G and 4G wireless networks
With these solutions CommProve help operators manage networks for maximum profit. With theBCN concept (see later) network quality, and customer satisfaction can be tuned for maximumprofit
Our products Mobile Broadband: Visualize data services across network interfaces (RAN, Access, Core),
applications per user, network resources per user and application. Increase effective networkcapacity up to 100% through intelligent monitoring. Increase data services revenues
Subscriber: Customer experience management, location,call and data statistics and QoE for each user
Device: Handset usage patterns and QoE, ideal forsoft launches and smart phone verification
Roamer: Directly visualize roaming revenue at risk,address each issue proactively, substantially increaseroaming revenue. Also visualize interconnect andoutbound roamer statistics
Network / RAN: RAN, Access and Core Network:End-to-end statistics and trouble shooting, correlation ofcore, access and radio, call tracing
Who Are CommProve?
24
Company
Logo
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The Business/Customer/Network (BCN) Concept
KPI
CS
EBIT
Proceduremessages/Calltracing
xDRs
KPIs
KQMs
Network quality
Profit
Translation
Feedback loop
Physical and customer
parameters
Financial
parameters
s
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Case Study:
Challenge Management of explosion in data traffic
Optimize use of scarce mobile broadband resources
Ensure full insight into customer satisfaction as resources per user are
tuned
Know who your users are, where they are, what applications they useand what their experience is using your network
26
Company
Logo
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Case Study Mobile Broadband
--
1. Mobile Broadband application shows a who, what,
where view of network usage
2. With integrated Customer Experience Management
capability the solution provides critical view ofnetwork resource usage by user and handset types
All steps needed to assess packet services are
available
for inspection in real-time and for customer care
3. Packet service performance can be broken down by
cell/service area in order to know how each network
element is contributing to packet service performance
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Case Study More Details
-
-
1. Network user complains aboutpoor throughput during a particular
time period
2. Customer Experience
Management investigation (entry of
customer phone number) was
performed looking into particular
time period of the problem
Analysis showed that handset was
not using the proper serving cell.Performance affected by interference
Unexpected used cell that is
positioned on the top of a hill
Location of user. Can be tracked
real-time and historically
What applications are used?
Technical Details:
1. Monitoring of Gn and Iups
interfaces correlation across
interfaces
2. Throughput at Gn interface of
2.5 Gbit/sec
3. Access to historical XDRs back to
4 weeks (generally would
depend uniquely on storage
sizing)
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Agenda
Overview of Network Intelligence and the Network Intelligence(NI) Alliance
Erik Larsson, Chairman of the NI Alliance
The New DPI: Challenges & Opportunities In The LTE Era,including findings from a recent Heavy Reading white paper
Graham Finnie, Chief Analyst, Heavy Reading
Case study of solutions based on DPI and Network Intelligence
Sunil Laroiya, Senior Product Manager, CommProve
Conclusion and Q&A
29
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Thank you