Virtual CPE Platform in the Home
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Collaboration
Champions:
Participants:
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vCPE Catalyst Project – Phases 1 and 2
Phase 2
1
Moving
from
reactive to
proactive
Laying the
foundation
with
zeroassurance
to improve customer
touch provisioning
experience
Service Provider Dashboard
Analytics
Customer GUI
Virtual Test Agent
Test Agent
BRG
DHCP
NAT
vBNG
vRG
VTS
IPv6
NFVI
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MGW
vCPE Catalyst Project – Phase 3
Proactive and predictive service assurance and control
Taking analytics beyond
proactive assurance to
predict and manage service
contention
Putting service control
into the hands of the
consumer
Analytics
Historical data
Virtual Monitoring Agent
CDN
VTS
Data Center
Traffic
Mgt
FW
DHCP
NAT
vBNG
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IPv6
vRG
Test Agent
BRG
Use Cases Shown in Catalyst Demo
Residential broadband networks typically suffer from lack of management and service prioritization

Dealing with the impacts of service contention

Proactively detecting and resolving problems remotely
Use case #1: vCPE bandwidth management
Home office worker regularly suffers poor
voice and desktop conferencing
performance when other family members
are watching on-line movies
Use case #2: Predictive analytics & testing
Family wants to book a pay per view
sports event, but that may require more
bandwidth than their service bundle
currently provides so requests a temporary
increase in bandwidth
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Use Case #1: Bandwidth Management
Sequence
Unmanaged
Home Network
User Reviews
Traffic Usage
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Update and
Apply Policy
Managed
Network Traffic
Use Case #2: Predictive Analytics/Test for Capacity
Sequence
PPV Service
Advance
Request
Modeling
Aggregate
Utilization
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Live Testing
Provide
Alternatives
Use Case #1 Challenges and Learnings
 Challenges in Customer-centric Service Management
‒
Providing consumers with just the right amount of scope and
capability to manage their traffic
‒
Defining a customer-centric interface to traffic management VNF
 So many possible dimensions and approaches
 Learnings
‒
Broadband traffic management is more easily achieved than WiFi
traffic management
‒
Existing traffic managers can readily be adapted to run in the vCPE
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Use Case #2 Challenges and Learnings
 Challenges in Predictive Analytics
‒
Requires utilization/second by subscriber across all devices, services,
to compute aggregated utilization and impact on latency/jitter for
multi-second time window
‒
Requires aggregation of utilization across all subscribers using
shared link at 1 sec level for comparable time periods to future event
 Learnings
‒
Lambda architecture e.g. both a scalable streaming data platform and
big data (batch/micro batch) platform can meet these requirements
‒
Characteristics of the future event must be matched with historical
usage to predict number of concurrent streams
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Findings and Summary
Overall Project Findings
 Beneficial application of DPI/Traffic management technologies to
residential services using virtual monitoring and policing functions
 Monitoring at vCPE does not cover in-home M2M traffic e.g. DVR to STB
 Client device embedded measurement is required for accurate QoE
assessment
TMF Leverage
 ZOOM project
Recommendations
 Work on customer-centric API for traffic management
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TM Forum Assets
TMF Forum Asset Utilization
Business Metrics Framework 15.5
Contribution to TM Forum
Customer Service
Management
(Self- Service)
Customer
Experience
Operational
Efficiency
Success of Realtime change
requests
Customer
Adoption Rate
•
•
•
# successful
portal requests
# failed portal
requests
# selfserviceable
requests handled
by customer care
•
•
•
•
% of service orders*
fulfilled on time
% of service orders
fulfilled with delay
% of service orders
failed
Reasons for failure
of service orders
Revenue &
Margin
Accuracy of
Predictive
algorithms
•
Predicted
Vs Actual
bandwidth
contention
Revenue Impacts
of service
flexibility
•
•
Additional
revenue
generated
during SM
Revenue loss
during SM
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In a virtualized environment where
customers will have greater flexibility and
control over their service, CSPs have to
implement metrics views specific to
Customer Service Management.
Further within the Service Management,
these metrics can be classified within the
existing TMForum defined categories like:
•
•
•
Customer Experience
Operational Efficiency
Revenue & Margin