information mining and the cmdb

CA Council for Technical Excellence

Information Mining and the CMDB CA Architects’ Conference

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Presented By: David A Messineo

CA Internal Confidential — Copyright © 2009 CA. All rights reserved. All trademarks, trade names, services marks and logos referenced herein belong to their respective companies.

CA Architects’ Conference April 20-22, 2009

The Challenge – Find the Architectural Risks?



Using Your Intuition

E

F

D A

H

G

J

B

K

L

M

C

Q P

O N

> Assume A, B, C are Services

> What questions would you ask?

> Without having additional information what risks might you

possibly assume exists?

> What led you to think that way?


CA Architects’ Conference April 20-22, 2009 4

What would Charlie do?

> Mathematics has an inner beauty but

only satisfies its true capabilities

when driven by interpretation by

novices and experts alike

> NUMB3RS – It’s not just a bunch of

actors acting like geniuses to

entertain you – it’s actually a true

model for how math is functional

> Using Math is all about identifying the

germ of an idea, making reasonable

assumptions, building a model, and

applying it to real life

> The CMDB is one such example using

the concept of “Network Algebra” (i.e

Graph Theory)

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Automating Architecture – a possibility?

> Automate Root-Cause

Analysis

> Provide a portal to encourage

the building of “knowledge

rules” and role-based

interfaces

> Identify Architectural Flaws

> Automate policy-based

availability, capacity, and IT

continuity management

> Support a rigorous ever-

changing services model

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Real – World Example(s)

E

F

D A

H

G

J

B

K

L

M

C

Q P

O N

> Example #1: Identify where there may be a high degree

of risk for making architectural changes

> Example #2: Identify where there may be an existing

architectural risks for IT Continuity



Data Collection Strategies for “finding” evidence

> Instrumental relationships – how configuration items

support one another operationally through a hierarchy

> Communication relations – linkages between actors,

what channels they use and the messages between them

> Boundary relationships – how services & systems are

bounded through support of common goals (e.g. SLA)

> Authority / power relations – how the configuration of

a CI is managed through policy

> Transaction relations – how services & systems are

related through common transactions

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Key Mathematical Terms Part 1 – Core Terms

> Node (Point)

> Link (Line)

> Graph

> Network

> Path

> Length = # Links

Yellow = 6

Red = 2

> Distance = Min # Points

Node A / Node Q = 5

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Node

Link

Network

Graph Path

Z



Key Mathematical Terms Part 2 – Common Terms

> Adjacent (adjacency)

> Degree = # Links

Degree (E) = 1

Degree (G) = 2

Degree (A) = 5

> Neighborhood

> Inclusiveness

= Linked – Not Linked

Graph = 16 – 1 = 15

> Density

# of Links / Possible Links

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Node

Link

Network

Graph Path

Adjacent

Z

Neighborhood



Density

No. of connected points

0 2 3 4 4 4

Inclusiveness 0 0.5 0.7 1.0 1.0 1.0

Sum of Degrees 0 2 4 6 8 12

No of lines 0 1 2 3 4 6

Density 0 0.1 0.3 0.5 0.7 1.0



Key Mathematical Terms Part 3 – Advanced Terms

> Local Centrality (Absolute)

> Local Centrality (Relative)

> Global Centrality

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Node

Link

Network

Graph Path

Adjacent

Z

Neighborhood



Centality

E

F

D

A

H

G

J

B

K

L

M

C

Q P

O

N

A,C B G,M J, K, L All

other

points

5 5 2 1 1

.33 .33 .13 .07 .07

43 33 37 48 57 Global Centrality

Local Centrality

Absolute

Relative

<

J



Applying Your Intuition Centrality and Density

> Example #1: Identify where there may be a high degree

of risk for making architectural changes

Change Risk Analysis

– Centrality: Identifies areas where a “small” change may have huge impacts

– Density: Identifies areas where the planning for a change may become complicated

> Example #2: Identify where there may be an

architectural risks for IT Continuity

IT Continuity / Availability

– Centrality: Identifies architectural points where IT Continuity may require additional attention

– Density: Identifies where there may too much money or resources be dedicated to Continuity

Software Tools

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Network Views – Image 1 (Pajek)

15



Network Views – Image 2 (Pajek)

16



Network Mathematics (Pajek)

17



Building Your Own Sandbox

> The Simple Way

Download Pajek, Text2Pajek, Excel2Pakek

Use Excel to Model Data

Convert to Pajek format from Excel and load into Pajek

> Using CA Technology

Setup the CA CMDB

Place Sample Data into the CA CMDB

Run SQL Extraction Script & BCP Script (contact me)

Convert to Pajek format from CSV txt and load into Pajek

> Ultra Cool

Download MAGE and enter the world of 3-D Visualization

information mining and the cmdb

Documents

services marks

cmdb ca architects conference

ca council

trade names

services model

respective companies

services systems

architectural changes