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Carrier Class Network Management Richard Crounse OSI Software

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Richard Crounse Telecommunications & Networks Industry Manager OSI Software Real-Time Management Through Historical Analysis National Carrier Company Profile Provider ... – PowerPoint PPT presentation

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Title: Carrier Class Network Management Richard Crounse OSI Software


1

Carrier
Class
Network Management
Richard Crounse Telecommunications Networks
Industry Manager OSI Software
2
Real-Time Management Through Historical Analysis
3
OSS Architecture for Converged Voice/Data Networks
PI
4
National Carrier Company Profile
  • Provider of advanced data communications services
  • Customers include
  • Competitive Local Exchange Carriers,
  • Internet Service Providers
  • Multi-state business customers.

5
Core Access Networks
ATM Backbone
Dial Customers
  • 2,000,000,000 minutes of Internet traffic per
    month
  • 1,000,000 subscribers in 150 major markets
  • 800 cities

6
1997 Network Configuration
Utilization ??
7
Operational Problems
  • Could Not See Circuit Utilization
  • Could Not Determine Performance
  • Could Not Perform Capacity Planning
  • Perpetual Fire Fighting Mode

8
Software Requirements
  • Scalability to 100,000 Ports
  • Multi-Vendor Environment
  • (Cisco, Lucent,Nortel, Foundry)
  • Integration with Legacy Systems

9
Solution Must Provide
  • Central Configuration
  • Distributed Polling
  • Open API/SDK for Legacy Integration
  • Exception Reporting Data Reduction
  • Installation In One Month or Less

10
Commercial Products Reviewed
  • Network Management Systems
  • HP OpenView
  • Tivoli
  • Performance Management Systems
  • Concord
  • Lucent Vital Suite
  • Others

TM
TM
11
Product Shortcomings
  • Inadequate Data Polling Storage
  • Cant Install Configure Quickly
  • Data Loss
  • Not Scalable Enough !!!

12
Inadequate Polling Storage
  • Centralized Polling Consumes Bandwidth
  • White Noise Not Eliminated
  • No Data Compression
  • Redundant Data Archived

13
Lengthy Installation
  • Configuration Complex Lengthy
  • Customization required
  • Many Products Incomplete

14
Data Lost
  • Central Server Failure Causes Data Loss
  • Data Polling Rate Not Fast Enough
  • Data Summarization Eliminates Peaks

15
Not Scalable
  • 3500 Dial Access Units
  • 100,000 Ports
  • 350 Points Of Presence

16
Solution FoundPI
  • Able to Provide Performance Scalability
  • Able to Integrate With Legacy Systems
  • Able to Remotely Poll Centrally Configured
  • Installation In 48 HOURS for Collection Storage
    of Data

17
PI in the Electric Industry (partial list)
Egyptian Electricity Electricorp of NZ
(4) Entergy (3) Enron North America EZH -
Holland Florida Power Light First Energy
(6) IES Utilities Illinois Power Indiana
Michigan Power Intermountain Power Israel
Electric (10) Kansas City Power Light KPL Long
Island Lighting Louisville GE (2) Meckenburg
Cogen Morgantown Energy National Power
(16) Nevada Cogen (2) Nevada Power New Brunswick
Power
New England Power NIPSCO Northern States Power NY
State EG Ohio Power Co. (2) PGE Generating
(30) Philadelphia Electric Potomac Electric Power
Co. PSEG PSI Energy (8) Rochester Gas
Electric Scottish Hydro Scottish Power Southern
Company Tampa Electric (2) Tennessee
Eastman Tennessee Valley Authority TXU UCOS Virgin
ia Power (10) DOMINION Wisconsin Power
Alcan Power UK Alcoa (2) Allegheny Power
(4) American Electric Power Baekwha Boston
Edison British Nuclear Fuels California
Cogen Central Illinois Power Chambers
Works Cincinnati GE (2) Cleveland
Electric Columbus Southern (3) CAL
ISO Commonwealth Edison (20) Consolidated Edison
(4) Consumer Power Delmarva Power Dubai
Electricity Duke Power (12) Eastern Group -
UK EDF France Edison Termoelettrica
18
Swinging Door Compression
A Filter is pre-defined for each tag.
When a new value comes in a value vector slope
is calculated from the last stored value and
compared to min max range slopes (S1, S2 )
When a value vector slope is outside the slope
filter...
The filter is then used to define the minimum and
maximum range of slope deviation for the
vector.
VALUE
The previous value is archived
o
x
x
x
x
x
o
The previous value is dropped from the snapshot
database if the value vector slope is within
the allowable range
S1
x
o
S2
TIME
19
Performance Utilization
20
Bandwidth Utilization
Peak Use
Revenue Opportunity

SLA
Spike in usage
21
PI
State Status
LOG
Raw Data
Buffer
NE
Archive
Aggregate
Cleansed Data
Collector
Trends
Real-Time Web
EM
Performance
Statistical Data
SAP BSS
MIB
App Gateway
API
Totalized Data
Billing
22
2000 Network Operational Support Infrastructure
OSI PI Business Infrastructure Platform
Provisioning
Billing
Facilities
Performance
23
Observations Conclusions
  • Remote Polling Testing Provides
  • Bandwidth Preservation
  • Data Reduction
  • Centralized Performance Management Improves
  • Daily Operation
  • Capacity Planning
  • Flexible Infrastructure Provides
  • Legacy Integration
  • Dynamic Data Model
  • Capture Business Opportunities

24
OSI Software
  • Founded 1980
  • 4000 Customer Sites
  • Global Support
  • www.osisoft.com
  • rcrounse_at_osisoft.com
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