How taking a strategic approach to WAN optimization supports application delivery

Business Optimized Networks www.ipanematech.com1

Business Optimized Networks

How taking a strategic approach to WAN optimization supports application delivery

Mark Burton,

Product Management Director,

Ipanema Technologies

2Business Optimized Networks www.ipanematech.com

Agenda

Enterprises and service providers tend to offer WAN optimization

as a tactical “quick fix” to performance problems in certain parts

of the network. Taking a more strategic approach to WAN

optimization can yield benefits across the enterprise that are not

limited to fixing short term performance and bandwidth

challenges.

Drawbacks of a “quick fix” tactical approach

Benefits of a strategic approach to WAN optimization


What are the drawbacks of a “quick fix” approach?

Limited scalability

Limited effectiveness

High management costs

Significant investment costs


Limited scalability

Traditional systems are “box based”

Box based systems require a lot of configuration

Box based systems lack global visibility

Simply accelerating traffic without knowing what/where/why

will lead to a bigger problem later

Box based QoS mechanisms rely on policies

Number of policies can be restrictive (just a few 1000s)

In large datacentres, this leads to generalisation

Need to constantly keep policies current (manpower

intensive)


Limited scalability

DC1

DC2

R&D1

Site1

R&D2 Site2Site3

Factory3

Factory2

Factory1

Site5Site4

HQ2HQ1


Limited effectiveness

Traditional WOCs struggle to deal with meshed networks and

meshed traffic flows

Traditional systems are designed to work point-to-point or in

hub and spoke (star) networks

Selective deployment and static policies lead to unexpected

results

Selective deployment denies unequipped sites the full benefit

Static policies cannot cope with modern dynamic WANs


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HQRegional HQ

Branch officeBranch office

WAN

Congestion occurs at the destination,

devices placed at the source cannot

handle it properly

Limited effectiveness in meshed networks

SAP

Minimum bandwidth per

session required by SAP

for a good end-user

quality of experience

A user in the unequipped branch office initiates a SAP sessionThe same user in the unequipped branch office initiates an Email sessionA second user in the unequipped branch office initiates an Email

session

The bursty Email sessions “kills” the

SAP transactions

Email



Optimization methods need to be configured individually

Configuration needs to be consistent across all controllers

Central manager not always helpful as local parameters still

need to be set (WAN access, limitations etc)

Not easy to adapt to changes in the WAN

WANs are constantly evolving entities, changes happen all

the time

New application roll out can cause huge workload in updates

and reconfiguration

Each change can have same cost as original deployment


9


Operational

costs and

risks

Increasing number of sites

and changes

WAN changes WOC operation

The number of SAP users in

London offices increase by

20%

Reconfigure SAP parameters

in London

Move application from primary

to secondary datacentre

Reconfigure all WOCs for

new application policy

Launch new CRM application Reconfigure all WOCs for


Open a new branch Configure new WOC and

reconfigure all WOCs that

communicate with it

Globally deny access to a

new recreational application

Reconfigure all WOCs for


Legacy policy

based model

Unmanageable

zone



Despite cost decreases, WOCs are still expensive devices

Especially in addition to a branch office router

To get optimization benefits, you need to deploy at least one

device in EVERY location

This is not practical in many networks



Even in a small network, significant

device investment is needed

2 datacentre devices

4 large office devices

2 HQ

2 R&D

3 Factory devices

5 site devices

Total: 14 sites, 14 devices

Site3

DC1

DC2

R&D1

Site1

R&D2 Site2

Factory3

Factory2

Factory1

Site5Site4

HQ2HQ1


What is an Autonomic WAN Optimization System (AWOS)?

No pain because it’s fixed

You can do it without

thinking about it

Pain but no solution

You know that

you’re not doing it

Pain and a solution!

You can do it, but

It requires conscious

effort

No Pain

You don’t know that

you’re not doing it Conscious

incompetence

Unconscious

competence

Unconscious

incompetence

Conscious

competence

Autonomic

System


How does an AWOS address the challenges?

Unlimited scalability

Full effectiveness, even in fully meshed networks

Reasonable management costs

Low investment costs – minimal TCO, maximum value


AWOS - Unlimited scalability

Systematic, “not box based” approach – global visibility

Capture real-time synchronized flow performance data

Centralize visibility and reporting using very little bandwidth

Deliver the information in a variety of ways

Historical reporting

Real-time views and reports

Uses QoS that scales to the entire network

No limitation on numbers of flow characteristics or actions

QoS delivered accurately regardles of numbers of sites or directions (10s, 100s, 1000s)

Uses real-time visibility measurements to dynamically calculate most applicable QoS policies, second by second.


15

HQRegional HQ


Autonomic system - simple centralized management

Cooperating devices

Central Management Software

Tele-managed sites

(unequipped)

WAN


16

HQRegional HQ


WAN

Time

Capture and centralize flow data in real-time

Topology (subnets)

Applications

Synchronized Global TableMonitoring & AlarmingReporting


17

Global visibility and application discovery – real-time and historical


18

HQRegional HQ


WAN

Global objectives

Use Global QoS mechanisms…


19

HQRegional HQ


Real-time traffic analysis

Automated global

computation of local

parameters every second

Manage traffic across the entire network

WAN

… to manage the traffic dynamically across the entire network

Global objectives


Full effectiveness, even in fully meshed networks

AWOS is designed to deal with meshed networks and meshed

traffic flows

Works with any network topology

Hub-spoke (star)

Lightly meshed (some to many)

Fully meshed (any to any)

Don’t need to deploy devices to every location

Selective deployment still guarantees unequipped sites the

full benefit

Automatically adapts to modern dynamic WANs, even

without devices everywhere


21

The Ipanema System can be deployed cost effectively and globally

thanks to Cooperative Tele-Management

Tele-managed site

(unequipped)

Physical device

Real-time cooperation

One to Any

Branch Offices

Single Data Center

Some to Any

Branch Offices

Multiple Data Centers

Any to Any

Branch Offices

w/ inter-site traffic

Multiple Data Centers


22

Define per user Application Performance Objectives …

Key Applications

Application Criticality

SAP Top

Citrix (CRM) Top

VoIP (G729) High

Oracle High

Citrix (MS Office) Medium

Web (http://intranet/*) Medium

Other Low

FTP Low

CIFS Low

Email Low

Per User Service Level Definition Library

Bandwidth (Kbps) Delay (ms) Jitter (ms) Loss (%)

……. ……. ……. …….

……. ……. ……. …….

……. ……. ……. …….

50 100-300 n/a 1-3

20 100-300 n/a 1-3

20 50-150 40-80 0-1

20 100-300 n/a 1-5

20 200-1000 n/a 1-5

20 200-1000 n/a 1-5

10 200-1000 n/a 1-5

……. ……. ……. …….

……. ……. ……. …….

……. ……. ……. …….

……. ……. ……. …….


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HQRegional HQ


WAN

Congestion occurs at the destination,

devices placed at the source cannot

handle it properly

AWOS – co-operative design to deal with meshed flows anywhere

SAP

Minimum bandwidth per

session required by SAP

for a good end-user

quality of experience

A user in the unequipped branch office initiates a SAP sessionThe same user in the unequipped branch office initiates an Email sessionA second user in the unequipped branch office initiates an Email

session

Cooperative Tele-Optimization guarantees the performance

of critical applications on unequipped sites

The bursty Email sessions “kill” the

SAP transactions

AWOS devices coordinate together

and traffic is controlled at the source

Email



Centralized management means no individual configuration

necessary

Configuration automatically consistent across all controllers

No local WOC parameters (apart from ip@, gateway)

Automatically adapts to changes in the WAN

WANs are constantly evolving entities, changes happen all

the time

New application roll out easily managed through central

management GUI

Each change has minimal cost


25


Operational

costs and

risks

Increasing number of sites

and changes

WAN changes AWOS operation

The number of SAP users in

London offices increase by

20%

Automatically adapts

Move application from primary

to secondary datacentre

Automatically adapts

Launch new CRM application Create a new application

performance objective and

click “update”

Open a new branch Define the site in the CMS

and click “update”

Globally deny access to a

new recreational application

Create a new application

performance objective at 0

kbps and click “update”

AWOS objective

based model

Legacy policy

based model

Unmanageable

zone


AWOS - minimal TCO, maximum value

Does not require devices in every site

Write meaningful SLA/SLO

Rightsize WAN for optimum price/performance

Accelerate where there’s a need

Make full use of redundant network paths

Understand cost of application usage


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Link delay < 50 ms during 99% of the time

Link loss < 1% during 99% of the time

AQS > 9 for 99% of the time

MOS > 4 for 99% of the time

Write meaningful SLA/SLO

Application quality indicators

Exhaustive, per flow

measurement of real traffic

Application flow quality

metrics

MOS

AQS

Application performance SLAs

Link quality metrics

Active, per link testing

(PING, SAA …)

Link performance SLAs


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Rightsize the WAN to the desired service levels

Access rate

Kbit/s

% of time with right Service Level

With 1700 Kbit/s all applications

meet their performance

objectives 100% of the time

With 512 Kbit/s, critical

applications meet their

performance objectives

100% of the time

1024

2048

512


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+

Use tactical acceleration techniques where there’s a need

Source devices

replace

redundant

patterns across

sessions with

labels

Destination devices store patterns in multi-level caches to

reconstruct the original stream of information

Without redundancy elimination

Response time

Response time

RAM or Disk based cache/compression

Accelerate up to 20x (RAM cache) or 100x

(RAM + disk cache)

TCP and protocol acceleration techniques

With redundancy elimination

Data Centers

Branches

Network

throughput

Available

throughput


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SAP

MPLS

Automatically select the best access link with Objective-based Routing

Email

@

Dynamically select the best network

path for each session

Maximize both application performance

and access links usage based on:

Link resources, quality and

availability

Application Performance

Objectives

Data Center

Branch

Optional IP Sec encryption on non-

trusted networks


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Encourage good practices through cost allocation based on usage and

delivered performance

Departments Volume (Gbytes) Criticality Index AQS/MOS Index (K€)

Finances 4 351 0,55 0,88 283

Sales & Marketing 1 211 0,43 0,92 64

R&D 5 933 0,28 0,77 173

Manufacturing Europe 18 285 0,32 0,93 736

Manufacturing RoW 23 335 0,40 0,92 1 154

Common services 17 733 0,72 0,69 1 190

Total 70 848 0,46 0,85 3 600

Regions Volume (Gbytes) Criticality Index AQS/MOS Index (K€)

Asia 22 412 0,51 0,91 1 296

Europe 25 603 0,54 0,74 1 269

North America 22 832 0,40 0,91 1 035

Total 70 848 0,46 0,85 3 600

Allocation per sites

and B.U.

Real delivered

quality

Weighted

Business criticality


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Ipanema – the Advanced WAN Optimization System

Control

Guarantee

Accelerate

Visibility

Optimization

Acceleration

Deploy scalable services

Scalable Service Delivery

Automate

global

operations

Autonomic

System

Align the network with business goals

Network Application Governance

Business Optimized Networks www.ipanematech.com33

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How taking a strategic approach to WAN optimization supports application delivery

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