Capacity Engineering - SCTE Piedmont Chapter

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DTI

Expertise for end-to-end success

Capacity Management

Service

Edge-Fiber Node Management

November 2013

DTI

Expertise for end-to-end success

Agenda

• Introductions

• Edge-Fiber Node Capacity Management Practices and Challenges

• Overview of Methodology, Data Inputs being utilized, and their inherent deficiencies

• Description of Various development efforts

• Discussion around R&D effort and findings

• Q & A

• Next Steps

DTI

Expertise for end-to-end success

What is needed in Capacity

Planning

• A better, faster, more efficient way to handle your HSD Capacity Engineering

• Get it right the first time

• Engineer your network faster

• Engineer your network more effectively

• More efficient utilization of existing resources

DTI

Expertise for end-to-end success

Leverage tools and expertise

• MSO are utilizing tools that allow for better:

• Hardware Utilization – Level Load your CMTS

• Manpower Effectiveness – Augment once

• Provide reports/data for more effective planning for the HSD Network –

Know what will happen when

• Automate the Mundane Tasks

DTI

Expertise for end-to-end success

Edge-Fiber Node Management Challenges

• Basic Practices

– NCP Creation is Based on Nodal Modem Counts (Auspice)

– Time Consuming, tedious, often obsolete before its implemented

– Fundamental flaw, node and port splits are based on

Modem counts and not actual usage

DTI

Expertise for end-to-end success

Edge-Fiber Node Management Challenges

• Problems With Today’s Basic Practices

– NCP Creation is Based on Nodal Modem Counts (Auspice)

– Users/modems do not operate on the basic law of averages but rather at best case resembles a Log Normal Distribution or, most likely behave more in line with a Power Law probability distribution pattern

– Time Consuming, tedious, often obsolete before its implemented

– When splitting nodes there is no way to determine nodal contribution to port utilization

– Prone to human error, large spreadsheets lots of room for mistakes

– Fundamental flaw, node and port splits are based on

Modem counts and not actual usage

DTI

Expertise for end-to-end success

Port Utilization vs. Modem Counts

• DS Port # 2 (bar 3) illustrates that DS Port Utilization is not necessarily proportional to Modem Counts.

Comparing DS Ports #0 (bar 1) and #1 (bar 2) illustrates that growth and the magnitude of weekly variations in DS Port Utilization are also not necessarily proportional to Modem Counts.

• This data is straight from the NCP and Weekly Capacity Utilization Reports.

DTI

Expertise for end-to-end success

What does Port Utilization Forecasting Mean

DTI

Expertise for end-to-end success

Actual Results: CMTS Port Utilization

Customer’s

Initial NCP

U

Tallest

= 74%

Customer’s

Next NCP

U

Tallest

= 45%

DTI’s

Optimization of the Customer’s

Initial NCP using the

Customer’s initial number of DS Ports

• The same amount of CMTS hardware is used in the middle and bottom charts, but the bottom NCP would last more than 5.8 times longer.

DTI

Expertise for end-to-end success

Comparison of DS Port Loading

(Top) Customer’s Initial NCP

(Middle) Customer’s Next NCP

(Bottom) DTI’s Optimization of the Customer’s Initial NCP (using Customer’s Initial NCP’s 6 DS Ports)

Customer’s

Initial NCP

U

Tallest

74%

=

U

Tallest

57%

=

Customer’s

Next NCP

DTI’s

Optimization of the Customer’s

Initial NCP using the

Customer’s initial number of DS Ports

DTI

Expertise for end-to-end success

The Win

• Improve Customer Satisfaction

• Less often augmentations less down time for your customers

• Better balanced CMTS and edge elements results in less over-utilized ports offering better throughput to your customers

• Reduce Engineering/Field Cycles

• Turnaround of NCP Designs in 1-2 days from 3-5 days

• Extending the time between augmentations

• Targeting Hardware Utilization

• More efficiently engineered CMTS and edge systems.

• Develop NCPs that more equally distribute utilization across all ports, lowering the number of underutilized resources/ports

• Supports field standardization

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