CUNY Virtualized Unified
Communication
 John Bouma
 Hil Mumma
 Ari Chakrabarti
BRKUCC-2782_c1
© 2010 Cisco and/or its affiliates. All rights reserved.
Cisco Public
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CUNY with Unified
Communication Private Cloud
 IT taking lead to transform
communication
Challenges
Solutions
Results
 Leverage IT to enhance
the quality of employee
collaboration
experience
 Deployed Cisco
Unified Computing
System (UCS) with 4
server blades
configured as VMware
ESXi Enterprise hosts
Business Value
Impact: On Average 35%
 Meet growing demand
for data center
capacity
 Lower carbon
footprint by lowering
power consumption
 Increase business
agility through IT
Presentation_ID
© 2009 Cisco Systems, Inc. All rights reserved.
 Converted CUCM and
Cisco Unity
Connection from
standalone servers to
virtualized servers on
the Cisco UCS B series
Servers
Cisco Confidential
TCO Savings
Over 5 Years
Average Total CAPEX
Reduction 12%
10 HP MCS-7845 servers
 4 B200 M1 UCS blades
Average Annual
OPEX Reduction
54%
2
Average 35% 5-YR TCO Reduction with Cisco UC on
UCS Virtualization Platform
Cisco UC on UCS
12 MCS 7845 Servers
4 B200 M1 UCS blades
Storage Area Network (SAN)
Current 5 Yr. Spending
Expected 5 Yr. Spending
CAPEX
CAPEX
11%
Savings
17%
Savings
74%
Savings
46%
Savings
35%
Savings
Maintenance &
Support
Power & Cooling
Data Center Rack &
Floor Space
Total Annual Costs ($)
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Cisco Confidential
Maintenance & Support
Power & Cooling
Data Center Rack &
Floor Space
Total Annual Costs ($)
3
The Problem – Complex, Inefficient, Inflexible
Where IT Energy Is Spent
Cause
• Overwhelming complexity
5%
Infrastructure
Investment
• Reliance on brittle
infrastructure
Effect
23%
Application
Investment
30%
• >70% of IT budgets just
“maintaining” status quo
42%
Infrastructur
e
Maintenance
Application
Maintenance
• <30% of IT budgets goes to
innovation and competitive
advantage
Business Agility
Depends on IT Agility
Source: VMware Fortune 100 Customers
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© 2009 Cisco Systems, Inc. All rights reserved.
Cisco Confidential
4
CUNY Virtual Unified Communication Setup
Multiple UCS B200 Blade Server per chassis
Redundant UCS 5108
Chassis
Redundant 6120XP FI
Switch
FCoE
Fibre Channel
10Gbps Ethernet
Catalyst
6500
Switch
UC Apps
Disc Space
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Cisco Confidential
SAN
Disc
Array
5
Next Step: Cluster Consolidation
CUNY Central Hosting the
Cluster
Geographic
Centralization
Deployment with Remote
Colleges Hanging off
…
WAN/Optical
Network
…
…
…
…
…
Future Colleges joining
CUNY Central Cluster
Future College
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6
What is Server Virtualization?
Consolidation
Resource Utilization
Run multiple VM
Each VM is isolated from other
VM
on the same server
Encapsulation
Hardware Independence
………
…. ………
..
………. ..
………
………. ..
……
Encapsulates entire systems
(hardware configuration,
operating system, apps) in files
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Cisco Confidential
Run VM on any server
without modification
7
Server Consolidation
BEFORE
Servers
Storage
1,000
Direct
Attach
Network
3000
(Cables/Ports)
Facilities
200
(Racks)
Power Whips
400
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AFTER
Servers
Storage
100
Tiered
SAN &
NAS
Network
500
(Cables/Ports)
Facilities
10
(Racks)
Power Whips
20
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How vMotion Helps CUNY in DR Scenario
Move virtual machines across physical servers without interruption
ESX Server 1
ESX Server 2
> Preserve transactional integrity during movement
> Eliminate downtime and provide continuous service
> Shift underlying hardware resources dynamically
> Balance workloads to optimize computing resources
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Cisco Confidential
9
CUNY UC High Availability with Few Clicks
 What is it?
– Automatic restart of
virtual machines in case of
server failure
 Customer Impact
X
– Cost effective high
availability for all
applications
Resource Pool
– Dedicated stand-by
hardware unnecessary
– Cost and complexity of
clustering eliminated
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10
Architecture Strategy
Customer issues to solve: Hardware and Software BLOAT and SPRAWL
 High CAPEX of too many elements, with too much HW and SW per node
 High OPEX and complexity of managing all these elements
Cisco concern: Cost/complexity limits UC penetration into Very Large and Very
Small opportunities
Solution = shift to a “Just Enough” Architecture with Orchestration
Reduce Sprawl
Reduce
Bloat
…
…
Why Bloat/Sprawl of Servers:
Simplify
Management
 Redundancy
 High Capacity
 Customer Geographic / Organizational
Separation
 Customer Placement Logic
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CUNY joins…
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Q&A
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