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Traffic Service Platform FOA
Proposed Solution
&
Architecture
Confidential 3
 Provide Business Intelligence (BI) capability in able to
understand network traffic and aggregated customer
usage behaviours and patterns
 Perform Traffic Classification – protocol based
classification of packet data, protocol signatures, protocol
behaviours and application signatures
 Collect/Process Traffic Data – collection and processing
billing application, quality of experience, network
performance and BI reporting
 Become subscriber aware – analysis at the subscriber level
to understand user specific behaviours and tailored
entitlement
 Apply policy to the network – allow/reject/bypass traffic,
rate shape/guarantee, traffic marking, etc.
 Enable new service capabilities – ad insertion, http bulletin
injection, video optimization, traffic load balancing, etc.
Confidential 4
 The basic functionality of the TSP platform will provide the
following features/capabilities:
◦ Classification - classification involves identifying traffic to allow
for intelligent and specific business rules.
◦ Data Collection and Reporting - the collection and subsequent
reporting of data is of critical importance to any business
◦ Subscriber awareness - subscriber aware is prerequisite for
granular control over subscribers and the ability to deliver tailored
services
◦ Enforcement - this is the ability of the system to enforce the
business rules as best translated into network control
◦ Service Enablement - service Enablement in its essence is a sub
section of enforcement as it is essentially an implementation of
business rules.
◦ Policy Control and Integration - taking business rules and
translating them into network enforcement policies based on
previous categories.
5
 Wireless Data Volume
 Service Type Usage
 Wireless Subscriber Tier Data Usage
 Wireless Top Users
 Wireless Unlimited Usage and Devices
*Wireless reports will require some customizations plus Out of Box reports
6
 Wireline Data Volume
 Service Type Usage
 Wireline Subscriber Tier Data Usage
 Wireline Top Users
 Wireline Unlimited Usage and Devices
*Wireline reports will be mostly Out of Box reports
Confidential 7
 To define the project and authorize
resources for the Planning phase.
◦ Standard Reporting as per Sandvine “Out
of Box”
◦ Deliver the network analytics function to
assist with capacity and congestion
reporting for High Speed Internet
◦ Enable data access (intake, input, output,
out take) for OSS tools
◦ Customs reports
Confidential 8
 Sign Off report requirements to OSS
 Data Access Design to Support
Requirements
 Secure Funding to help OSS team
implement Business Object Portals for out
of box and customized reports
9
TSP Data
Universe
Data Base
Business Intelligent Object Portal
ETL - OSS Team will need
to build this
Out Of Box
&
Customs Reports
OSS
BI
Audience requiring this information Audience requiring this information
End customer to OSS End customer to OSS
TSP Data
Out Of Box
&
Customs Reports
Detailed Reports requirements
Dimensions
•Time of the day – When
•Location – Where
•Measurements – What
•NetFlex, Time, BW usage, Actual Throughput, ????
Custom Measurements
Customer Audiences?
•OLAN (Excel spreadsheet)
•Static (PDF document)
Delivery method?
•Daily inbox (email)
•Weekly Delivery
10
11
Universe
Data Base
Business Intelligent Object Portal
ETL - OSS Team will need
to build Object Portals
OSS
BI
•Enable data access (intake, input, output, out take) for OSS
tools
•ETL - OSS Team will need to build Object Portals
•OSS Team will build the customized reports without asking
Sandvine
•Need to pull data from TSP to create these portals
•Detailed Report Requirements
•Measures
•Will require some help in estimating budget $$ for this
Confidential 12
 Data Volume
 Providers & Protocol data usage
 Wireline or Wireless subscriber Tier data usage
 Wireline or Wireless Top users (Talkers)
 Time Distribution
 Unlimited Data
Criteria
Per Location
Per Hour / 15 Min
Time of the day
Per user
By Protocols
By Application
By Plan
Video Duration by
Providers
Confidential 14
 Upstream/Downstream/combined usage – volume by day/
week/ month
 Active devices – count by day/ week/ month
 Upstream/Downstream percentage distribution
 CBU / Headend Region / PHUB – volume count, volume% vs.
national% U/D by day/ week/ month
 QoE score location – overall national, CBU, Headend
Regional, PHUB by day/ week/ month
 Unclassified traffic - volume by day/ week/ month
 QoE by protocol - protocol (i.e. webvideo, email, VoIP) QoE by
day/ week/ month
 Upstream/Downstream/Combined Average Hourly Volume
for each hour in the day averaged over the entire month.
Confidential 15
 Percentage Distribution -protocol (i.e. Web video) &
provider (i.e. apple.com) & website (i.e. cbc.ca)
percentage by day/ week/ month
 Upstream/Downstream distribution -
protocol/provider/website percentage by day/ week/
month
 Top paid streaming video distribution – streaming video
% (i.e. Netflix) vs. Rogers services% (i.e. Anywhere TV) by
day/ week/ month (similar to BC#7)
 Top paid voice – paid voice % (i.e. Vonage) vs. Rogers
service % (i.e. RHP) by day/ week/ month (similar to
BC#8)
 TPIA – TPIA % vs. Rogers services% (i.e. RON) by day/
week/ month
Confidential 16
 Volume – tier volume by day/ week/ month
 Volume distribution – tier percentage vs. total volume by day/ week/
month
 Subs exceeding usage allowance per tier-count by day/ week/ month
 QoE by tier – QoE score by tier by day/ week/ month
 Tier Service breakdown – tiers vs. top n protocols/providers/website by
day/ week/ month
 Top paid streaming video distribution – paid streaming video % (i.e.
Netflix) vs. tier by day/ week/ month
 Top paid voice – paid voice % (i.e. Vonage) vs. tier by day/ week/ month
 Sub Analysis –active subs, total subs, volume, avg hours online, peak time
ratio per month by tier (existing in part in Network Summary/Subscriber
Analysis-Scorecard list, top left)
 Reporting Consumption Histogram (already exists in Network
Summary/Subscriber Analysis, top right)
Confidential 17
 Top 1%, 3% and 5% usage – volume by day/ week/
month
 Usage details – volume, active devices, avg volume per
device, % total volume by 1%, 3% and 5%.
 Average volume per active device – all, 1%, 3%, 5%
volume by day/ week/ month
 Active devices – all, 1%, 3%, 5% counts by day/ week/
month
 Subs exceeding usage allowance per tier-% volume of
total by day/ week/ month
 Top users location -top n users by national, CBU,
Headend Regional, PHUB
Confidential 18
 Peak volume (US/DS/Combined) - volume at peak time
vs. all other times by hour/ week / month
 Peak volume % - % volume at peak time vs. other times
by hour/ week /month
 Peak Users - user count (i.e. active devices) vs. hour/day/
week/ month
 QoE score time – QoE peak time vs. all other time by
month
 Time of day trend - %consumption over 24hr vs. volume
vs. %subs (already exists in Network
Summary/Subscriber Analysis-bottom middle chart
 Time Trend - % consumption hourly vs. volume by day /
week / month
Confidential 19
 Unlimited residential volume distribution: total regular residential
tier volume vs. residential unlimited tier volume by hour/ week
/month
 residential detailed view: regular and unlimited - tier volume, % of
total volume, active devices, % of active devices
 Volume as % of regular tiers: volume of unlimited tiers % by hour/
week /month
 Device count as % of regular tiers: unlimited devices % by hour/
week /month
 Average volume per user: the average volume for a single user
regular and unlimited tier by hour/ week /month
 Residential volume percentage distribution: regular tier volume and
% vs. unlimited tier volume and % by month
 Residential devices percentage distribution: regular modem count
and % vs. unlimited count and % by month
Confidential 20
 Here are the fields/content needed:
◦ Wireless Data
◦ • Wireless BAN, CTN
◦ • IMEI
◦ • session date,
◦ • Sequence number for the event
◦ • session start time and end time (or duration). Duration on each URL (for sequential
analysis)
◦ • Failed connection attempt flag
◦ • URL (at least the URLs related to social media websites, the OTT e.g Netflix, all the
streaming protocols and web video providers, including Rogers Anyplace TV, and other service
providers)
◦ • Cell ID for the event location
◦ • data usage (down load, upload) from each URL, each session
◦ • (?) A method to determine if hot spot is enabled and used by multiple users
◦ • Browser and version of browser
◦ • Device Type (Tablet, smartphone, etc...)
◦ • Device brand (if possible)
◦ • Event counts (# of aggregated events for the Session) (# of clicks for the specific
webpage for a period)
◦ • Aggregated upload and downloads by ban & subscriber
Confidential 21
 Here are the fields/content needed:
◦ Wireline Data
◦ • Cable Company number & Account number
◦ • MAC Addresses
◦ • session date,
◦ • Sequence number for the event
◦ • session start time and end time (or duration). Duration on each URL (for sequential
analysis)
◦ • Failed connection attempt flag
◦ • URL (at least the URLs related to social media websites, the OTT e.g Netflix, all the
streaming protocols and web video providers, including Rogers Anyplace TV, and other service
providers)
◦ • data usage (down load, upload) from each URL, each session
◦ • Browser
◦ • Connection Type (Wi-Fi, wired/Cable, etc. )
◦ • Device Type (PC, Tablet, smartphone, etc..)
◦ • Device brand (if possible)
◦ • Event counts (# of aggregated events for the Session) (# of clicks for the specific
webpage for a period)
◦ • Aggregated upload and downloads by Company number & Account number

Network
Analytics
Traffic
Manageme
nt
Usage
Manageme
nt
Network
Security
Platforms
Products
Control
Center
Policy
Traffic
Switch
(Hardware
& Software)
Service
Delivery
Engine
Subscriber
Policy Broker
Storage,
Reporting and
Policy
(Hardware)
Sandvine Confidential
23
Network
Summary
Dashboard
Real-Time
Entertainmen
t Dashboard
Traffic
Manageme
nt
Dashboard
Usage
Manageme
nt
Dashboard
IPv6
Transition
Dashboard

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Business Intelligent Reporting Process.pptx

  • 3. Confidential 3  Provide Business Intelligence (BI) capability in able to understand network traffic and aggregated customer usage behaviours and patterns  Perform Traffic Classification – protocol based classification of packet data, protocol signatures, protocol behaviours and application signatures  Collect/Process Traffic Data – collection and processing billing application, quality of experience, network performance and BI reporting  Become subscriber aware – analysis at the subscriber level to understand user specific behaviours and tailored entitlement  Apply policy to the network – allow/reject/bypass traffic, rate shape/guarantee, traffic marking, etc.  Enable new service capabilities – ad insertion, http bulletin injection, video optimization, traffic load balancing, etc.
  • 4. Confidential 4  The basic functionality of the TSP platform will provide the following features/capabilities: ◦ Classification - classification involves identifying traffic to allow for intelligent and specific business rules. ◦ Data Collection and Reporting - the collection and subsequent reporting of data is of critical importance to any business ◦ Subscriber awareness - subscriber aware is prerequisite for granular control over subscribers and the ability to deliver tailored services ◦ Enforcement - this is the ability of the system to enforce the business rules as best translated into network control ◦ Service Enablement - service Enablement in its essence is a sub section of enforcement as it is essentially an implementation of business rules. ◦ Policy Control and Integration - taking business rules and translating them into network enforcement policies based on previous categories.
  • 5. 5  Wireless Data Volume  Service Type Usage  Wireless Subscriber Tier Data Usage  Wireless Top Users  Wireless Unlimited Usage and Devices *Wireless reports will require some customizations plus Out of Box reports
  • 6. 6  Wireline Data Volume  Service Type Usage  Wireline Subscriber Tier Data Usage  Wireline Top Users  Wireline Unlimited Usage and Devices *Wireline reports will be mostly Out of Box reports
  • 7. Confidential 7  To define the project and authorize resources for the Planning phase. ◦ Standard Reporting as per Sandvine “Out of Box” ◦ Deliver the network analytics function to assist with capacity and congestion reporting for High Speed Internet ◦ Enable data access (intake, input, output, out take) for OSS tools ◦ Customs reports
  • 8. Confidential 8  Sign Off report requirements to OSS  Data Access Design to Support Requirements  Secure Funding to help OSS team implement Business Object Portals for out of box and customized reports
  • 9. 9 TSP Data Universe Data Base Business Intelligent Object Portal ETL - OSS Team will need to build this Out Of Box & Customs Reports OSS BI Audience requiring this information Audience requiring this information End customer to OSS End customer to OSS
  • 10. TSP Data Out Of Box & Customs Reports Detailed Reports requirements Dimensions •Time of the day – When •Location – Where •Measurements – What •NetFlex, Time, BW usage, Actual Throughput, ???? Custom Measurements Customer Audiences? •OLAN (Excel spreadsheet) •Static (PDF document) Delivery method? •Daily inbox (email) •Weekly Delivery 10
  • 11. 11 Universe Data Base Business Intelligent Object Portal ETL - OSS Team will need to build Object Portals OSS BI •Enable data access (intake, input, output, out take) for OSS tools •ETL - OSS Team will need to build Object Portals •OSS Team will build the customized reports without asking Sandvine •Need to pull data from TSP to create these portals •Detailed Report Requirements •Measures •Will require some help in estimating budget $$ for this
  • 12. Confidential 12  Data Volume  Providers & Protocol data usage  Wireline or Wireless subscriber Tier data usage  Wireline or Wireless Top users (Talkers)  Time Distribution  Unlimited Data
  • 13. Criteria Per Location Per Hour / 15 Min Time of the day Per user By Protocols By Application By Plan Video Duration by Providers
  • 14. Confidential 14  Upstream/Downstream/combined usage – volume by day/ week/ month  Active devices – count by day/ week/ month  Upstream/Downstream percentage distribution  CBU / Headend Region / PHUB – volume count, volume% vs. national% U/D by day/ week/ month  QoE score location – overall national, CBU, Headend Regional, PHUB by day/ week/ month  Unclassified traffic - volume by day/ week/ month  QoE by protocol - protocol (i.e. webvideo, email, VoIP) QoE by day/ week/ month  Upstream/Downstream/Combined Average Hourly Volume for each hour in the day averaged over the entire month.
  • 15. Confidential 15  Percentage Distribution -protocol (i.e. Web video) & provider (i.e. apple.com) & website (i.e. cbc.ca) percentage by day/ week/ month  Upstream/Downstream distribution - protocol/provider/website percentage by day/ week/ month  Top paid streaming video distribution – streaming video % (i.e. Netflix) vs. Rogers services% (i.e. Anywhere TV) by day/ week/ month (similar to BC#7)  Top paid voice – paid voice % (i.e. Vonage) vs. Rogers service % (i.e. RHP) by day/ week/ month (similar to BC#8)  TPIA – TPIA % vs. Rogers services% (i.e. RON) by day/ week/ month
  • 16. Confidential 16  Volume – tier volume by day/ week/ month  Volume distribution – tier percentage vs. total volume by day/ week/ month  Subs exceeding usage allowance per tier-count by day/ week/ month  QoE by tier – QoE score by tier by day/ week/ month  Tier Service breakdown – tiers vs. top n protocols/providers/website by day/ week/ month  Top paid streaming video distribution – paid streaming video % (i.e. Netflix) vs. tier by day/ week/ month  Top paid voice – paid voice % (i.e. Vonage) vs. tier by day/ week/ month  Sub Analysis –active subs, total subs, volume, avg hours online, peak time ratio per month by tier (existing in part in Network Summary/Subscriber Analysis-Scorecard list, top left)  Reporting Consumption Histogram (already exists in Network Summary/Subscriber Analysis, top right)
  • 17. Confidential 17  Top 1%, 3% and 5% usage – volume by day/ week/ month  Usage details – volume, active devices, avg volume per device, % total volume by 1%, 3% and 5%.  Average volume per active device – all, 1%, 3%, 5% volume by day/ week/ month  Active devices – all, 1%, 3%, 5% counts by day/ week/ month  Subs exceeding usage allowance per tier-% volume of total by day/ week/ month  Top users location -top n users by national, CBU, Headend Regional, PHUB
  • 18. Confidential 18  Peak volume (US/DS/Combined) - volume at peak time vs. all other times by hour/ week / month  Peak volume % - % volume at peak time vs. other times by hour/ week /month  Peak Users - user count (i.e. active devices) vs. hour/day/ week/ month  QoE score time – QoE peak time vs. all other time by month  Time of day trend - %consumption over 24hr vs. volume vs. %subs (already exists in Network Summary/Subscriber Analysis-bottom middle chart  Time Trend - % consumption hourly vs. volume by day / week / month
  • 19. Confidential 19  Unlimited residential volume distribution: total regular residential tier volume vs. residential unlimited tier volume by hour/ week /month  residential detailed view: regular and unlimited - tier volume, % of total volume, active devices, % of active devices  Volume as % of regular tiers: volume of unlimited tiers % by hour/ week /month  Device count as % of regular tiers: unlimited devices % by hour/ week /month  Average volume per user: the average volume for a single user regular and unlimited tier by hour/ week /month  Residential volume percentage distribution: regular tier volume and % vs. unlimited tier volume and % by month  Residential devices percentage distribution: regular modem count and % vs. unlimited count and % by month
  • 20. Confidential 20  Here are the fields/content needed: ◦ Wireless Data ◦ • Wireless BAN, CTN ◦ • IMEI ◦ • session date, ◦ • Sequence number for the event ◦ • session start time and end time (or duration). Duration on each URL (for sequential analysis) ◦ • Failed connection attempt flag ◦ • URL (at least the URLs related to social media websites, the OTT e.g Netflix, all the streaming protocols and web video providers, including Rogers Anyplace TV, and other service providers) ◦ • Cell ID for the event location ◦ • data usage (down load, upload) from each URL, each session ◦ • (?) A method to determine if hot spot is enabled and used by multiple users ◦ • Browser and version of browser ◦ • Device Type (Tablet, smartphone, etc...) ◦ • Device brand (if possible) ◦ • Event counts (# of aggregated events for the Session) (# of clicks for the specific webpage for a period) ◦ • Aggregated upload and downloads by ban & subscriber
  • 21. Confidential 21  Here are the fields/content needed: ◦ Wireline Data ◦ • Cable Company number & Account number ◦ • MAC Addresses ◦ • session date, ◦ • Sequence number for the event ◦ • session start time and end time (or duration). Duration on each URL (for sequential analysis) ◦ • Failed connection attempt flag ◦ • URL (at least the URLs related to social media websites, the OTT e.g Netflix, all the streaming protocols and web video providers, including Rogers Anyplace TV, and other service providers) ◦ • data usage (down load, upload) from each URL, each session ◦ • Browser ◦ • Connection Type (Wi-Fi, wired/Cable, etc. ) ◦ • Device Type (PC, Tablet, smartphone, etc..) ◦ • Device brand (if possible) ◦ • Event counts (# of aggregated events for the Session) (# of clicks for the specific webpage for a period) ◦ • Aggregated upload and downloads by Company number & Account number 