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1 Optimize Application Delivery for Global Deployment Of SAP® BusinessObjects™ Enterprise with Blue Coat Systems Acceleration A Report from SAP Co-Innovation Lab Blue Coat: Chris Webber, Jonathan Bensen, Chris Wood SAP: Jay Thoden van Velzen, Canyang Kevin Liu, Joerg Nalik May 2010 Version 1.0

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Page 1: COIL Whitepaper: Optimize SAP BOE global deployment with ...€¦ · evident where the application is installed on one central location and is accessed by users around the world,

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Optimize Application Delivery for Global

Deployment Of SAP® BusinessObjects™

Enterprise with Blue Coat Systems

Acceleration

A Report from SAP Co-Innovation Lab

Blue Coat:

Chris Webber, Jonathan Bensen, Chris Wood

SAP:

Jay Thoden van Velzen, Canyang Kevin Liu, Joerg Nalik

May 2010 Version 1.0

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Contents

Executive Summary ...................................................................................................................................................... 3

Global Deployments of SAP Business Object Enterprise ................................................................................ 4

Problem with Wide Area Networks ................................................................................................................... 4

Network Optimization: SAP BusinessObjects Enterprise and Blue Coat ................................................ 6

Blue Coat WAN Acceleration Technology ....................................................................................................... 7

The Test Landscape at SAP Co-Innovation Lab ............................................................................................. 9

Bandwidth Reduction .......................................................................................................................................... 10

User Response-Time Improvement ................................................................................................................ 10

Ensure Performance Without Bandwidth Upgrades ............................................................................... 12

Conclusion ..................................................................................................................................................................... 13

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Executive Summary SAP® BusinessObjects™ Enterprise

enabling customers to discover and share

service-oriented architecture, SAP BusinessObjects Enterprise

solutions on a single platform. As part of

portal is a Web application used to run, view, and schedule reports

world. Depending upon customer business requirements,

can be flexibly deployed into many architectural choices

an exceptional user experience.

One challenge common to any feature

network (WAN) overhead for remote users accessing the application over long distance

network bandwidth. Customer experience

by network overhead for global deployments

evident where the application is installed on one central location and is accessed by users around

the world, which can represent a comp

Blue Coat WAN optimization is designed to

application delivery performance to remote end

and TCP optimizations, Blue Coat ProxySG reduces the bandwidth required for WAN

application. More critically, ProxySG reduces the amount of data sent back and forth across the

WAN, dramatically reducing the impact of latency on application performance.

SAP and Blue Coat worked closely in

wide area network impact on global deployment

solution over various communication network c

lines. In addition, network latencies and packet losses from

locations from different continents were included

Our testing shows that the joint solution

tremendous improvement in the user experiences

conditions tested. In these tests, Blue Coat

bandwidth utilization reduction and to

global deployment of SAP BusinessObjects Enterprise

reduction of up to 95%, and up to 40

Blue Coat.

Figure 1 depicts the average response time

concurrent users (see Table 1) accessing

various WAN conditions with and without Blue Coat acceleration.

Figure 1: On average Blue Coat

across 4 300-concurrent

3

Enterprise software is a market-leading business intelligence (BI)

discover and share business insight for optimal decision making. Built on a

SAP BusinessObjects Enterprise software offers an extensive set of

As part of SAP BusinessObjects Enterprise, the business intelligence

eb application used to run, view, and schedule reports online from anywhere in the

on customer business requirements, SAP BusinessObjects Enterprise

into many architectural choices, achieve excellent performance

One challenge common to any feature-rich Web-based application is how to mitigate the

overhead for remote users accessing the application over long distance

experience often varies, and performance degradation

lobal deployments of SAP BusinessObjects Enterprise. This is most

where the application is installed on one central location and is accessed by users around

complex challenge.

designed to address the type of network overhead that impacts

to remote end users. Using a combination of caching, compression

ProxySG reduces the bandwidth required for WAN-

application. More critically, ProxySG reduces the amount of data sent back and forth across the

WAN, dramatically reducing the impact of latency on application performance.

closely in SAP Co-Innovation Lab to develop a joint solution to mitigate

global deployment of SAP BusinessObjects Enterprise. We tested the

solution over various communication network configurations emulating T3, DSL, ISDN

network latencies and packet losses from accesses in different geographic

were included.

joint solution developed in SAP Co-Innovation Lab provides a

user experiences of SAP BusinessObjects Enterprise

lue Coat demonstrated a consistent ability to achieve impressive

and to significantly reduce the impact of network latency

SAP BusinessObjects Enterprise. In our study the team observed

40 times faster response time across all the WAN conditions with

response time of 4 tests conducted in the lab where we emulate 300

accessing SAP BusinessObjects Enterprise from various locations and

with and without Blue Coat acceleration.

On average Blue Coat shows 40.5 times response-time improvement

concurrent-user tests in SAP Co-Innovation Lab

business intelligence (BI) solution,

insight for optimal decision making. Built on a

offers an extensive set of

the business intelligence

online from anywhere in the

SAP BusinessObjects Enterprise software

achieve excellent performance, and deliver

based application is how to mitigate the wide area

overhead for remote users accessing the application over long distances and low

ce degradation is introduced

This is most

where the application is installed on one central location and is accessed by users around

at impacts

Using a combination of caching, compression,

-delivered

application. More critically, ProxySG reduces the amount of data sent back and forth across the

a joint solution to mitigate

. We tested the

ISDN, and satellite

different geographic

provides a

SAP BusinessObjects Enterprise for all WAN

to achieve impressive

latency on a

observed bandwidth

faster response time across all the WAN conditions with

conducted in the lab where we emulate 300

from various locations and

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Global Deployments of SAP Business Object Enterprise As business intelligence has become progressively more business-critical, what often were local

departmental solutions are now enterprise-wide deployments. For global corporations, that

means a centralized deployment with a global end-user community accessing the application

over long distances.

Global deployments pose some unique challenges, most of which are relatively small obstacles.

Except for nationwide or continental systems, you cannot assume there will ever be a batch

window for scheduled reports where no users are online, or allow you to take cold system

backups. You have to estimate the number of concurrent users on the system by time zone, and

factor in overlap between European and North America East Coast business days. However,

none of these factors put severe limits in place, and all can be resolved with careful planning.

One aspect related to global deployments, however, is often overlooked initially, and may only

become apparent during user acceptance testing (UAT) or

– much worse – after going live: the impact of network

connectivity on global deployments.

Problem with Wide Area Networks

Consider the following scenario: A decision is made to

implement a global deployment of SAP BusinessObjects

Enterprise. The system will be hosted in the same data

center in the United States as the enterprise data

warehouse, to get the best report refresh times.

Performance tests are conducted, and in the data center

everything performs as expected. Users on either coast are included in the user acceptance

testing, and the performance is more than acceptable to them.

However, after the system goes live, complaints start coming in from Europe, Asia, and Africa

that the response times are unacceptable. For all intents and purposes the new system is

unusable for users who connect to the application over WAN links with low bandwidth, high

latency, some packet loss, or any combination of those. Additionally, there is a mobile

workforce that connects over 3G and certain small offices that connect over DSL or satellite

connections. What happened?

SAP Business Objects Enterprise provides a rich Web-based user interface to end users, but

unfortunately, that rich interface comes at a cost. Even a simple operation, like requesting a list

of documents, may involve a total of 90 individual HTTP requests. Each request needs to travel

the full distance from the end user to the centralized system. Users that are geographically close

to the data and connect over a good broadband connection won’t notice that impact. But

geographically remote users, or those connecting over links with low bandwidth and high

latency, certainly will. This is simply physics: how long does it take for a network packet to

traverse the world and reach the server? How long does it take for the response network

packet to return to the end user’s browser? When many “round trip” HTTP requests are sent

across the WAN, congestion and latency can drastically reduce application performance.

“With Blue Coat, faster

response times are to be

expected even over

global WAN links with

relatively low

bandwidth/high

latency.”

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Figure 2: Global centralized deployment of SAP BusinessObjects Enterprise with users connecting from various parts of the world

Figure 2 describes the SAP BusinessObjects Enterprise global deployment scenario. While users

in the United States may experience near-instant response times, users in China and Australia

are likely to find requests take significantly longer. So much longer, in fact, that the system does

not invite further analysis and thus loses its potential impact on business value. If the effort

involved to retrieve valuable information takes longer and longer, users will think twice before

running another query or performing deeper analysis. Network impact from Australia, for

instance, could easily add more than 10 seconds to the response time, just on the basis of

network latency alone.

SAP has previously tried to limit the impact of network on remote users through a number of

approaches:

• Choosing the location of the data center on the basis of the location of the majority of the

users

• Remote desktop–style solutions

• Deploying multiple instances of SAP BusinessObjects Enterprise synchronized through

federation

Choosing the location of the data center on the basis of the location of the end users can be very

beneficial. However, it doesn’t solve all problems, because it makes compromises for those

users who are still geographically remote. This approach can limit the impact for some users,

but it is not ideal, and choosing any location may not always be possible.

Remote desktop–style solutions can seem beneficial, but they are not an ideal situation either,

and require extra steps by end users and extra complexity for deployment. And can still fall

victim to latency. These solutions are not nearly as simple as just pointing your browser to the

URL for SAP BusinessObjects Enterprise.

Using federation, we have attempted to run multiple instances of SAP BusinessObjects

Enterprise in different parts of the globe, which are synchronized through federation to share

content between the two systems. This limits the impact of network connection because it aims

to place a system close to where the end users are. However, this is not ideal, as it requires a lot

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of planning, difficulties in performance for remote content, and extra expense for systems and

management expertise. If a user in Australia wants to refresh a report whose data source

resides in the United States, and depending on how many systems we put in place, some users

may still experience unsatisfactory response times.

Moreover, this federated approach defeats the purpose of trying to centralize systems for

improved hardware efficiency (since putting more systems in place is going to require more

hardware). And it can hardly improve operational management, as now two or more instances

of SAP BusinessObjects Enterprise need to be administered, patched, and upgraded.

There must be a better way.

Network Optimization:

SAP BusinessObjects Enterprise and Blue Coat In SAP BusinessObjects Enterprise, a small number of interactive requests are made to view

reports, create new documents, and refresh them. The vast majority of requests are for static

content, like images, JavaScript files, Cascading Style Sheets, and so forth. A lot of this content is

cached in the browser, but the browser will still verify with the server whether certain files

have been updated. All this checking adds round trips across the network, compounding

latency with each trip. This is exactly the sort of traffic that Blue Coat’s ProxySG WAN

optimization addresses.

If we review Figure 1 again, we see that the problem is really about location and network

connection. The performance of the application is poor in China and Australia only because of

network latency and potentially poor bandwidth. If we could handle static content more

efficiently and, for instance, cache this content close to the end user, we should have a

significant positive impact on response times, and therefore user experience.

With its strong features in caching, compression, and bandwidth reduction, Blue Coat can

mitigate the problems previously described. Figure 3 describes the logical equivalent

architecture of the solution with Blue Coat, where its appliances are symmetrically deployed in

the central deployment site of SAP BusinessObjects Enterprise and in all the remote locations to

accelerate network performance.

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Figure 3: Global centralized instances of SAP BusinessObjects Enterprise with Blue Coat Network Optimization

We tested this exact scenario in SAP Co-Innovation Lab together with Blue Coat. In the

following section we will examine the specifics of the testing we performed. But, let’s first have

a look at what Blue Coat offers and how its solution works.

Blue Coat WAN Acceleration Technology

Blue Coat’s WAN Acceleration is provided by its ProxySG appliances. Blue Coat ProxySG

appliances run a secure hardened operating system, with a common administrative interface

across all ProxySG products. This reduces administrative overhead, while providing

acceleration and performance improvements on a secure and reliable platform.

ProxySG utilizes a patent-pending combination of five separate application management and

tuning technologies, which are collectively referred to as Multiprotocol Accelerated Caching

Hierarchy (MACH5) technology. MACH5 accelerates delivery of mission-critical business

applications, including SAP BusinessObjects Enterprise, using five different techniques that

work in concert:

Object Caching

• Stores content locally, providing LAN-like performance for WAN users. This limits WAN

requests for content, eliminating latency and download times entirely. For content

delivery, no technology does more to reduce latency and bandwidth to improve the end-

user experience.

Byte Caching

• Caches repetitive traffic found in the byte stream and subsequently serves it locally to

reduce the amount of traffic that actually traverses the WAN. This leads to dramatic

bandwidth savings and aids in response time improvement.

Compression

• Inline compression can reduce predictable patterns even on the first pass, making it an

ideal complement to byte-caching technology.

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Bandwidth Management

• Provides the mechanism to assign priority and network resources based not only on

port or device, but on users, applications, and

content to more accurately reflect corporate

policies on the network. This works by itself, or

integrates with infrastructure QoS to provide

application intelligence to the packet-switching

network.

Protocol Optimization

• Improves the performance of protocols that are

inefficient over the WAN through specific

enhancements that make them more tolerant to

the higher latencies typically found there. Blue Coat offers multiple improvements for

TCP, CIFS, HTTP, HTTPS, MAPI, and most streaming video.

Combined, these technologies help ensure the performance and delivery of key business

applications – in this case our global implementation of SAP BusinessObjects Enterprise. All of

these techniques work together to optimize delivery of applications to remote locations.

Object and byte caching, combined with powerful adaptive compression, were the keys to

accelerating all the SAP BusinessObjects Enterprise traffic. As described above, SAP

BusinessObjects Enterprise makes only a small number of interactive requests to view reports,

create new documents, and refresh them. The vast majority of application requests within SAP

BusinessObjects Enterprise are for static content – images, JavaScript files, Cascading Style

Sheets, and so forth. Without WAN acceleration, many of the files must be checked against the

server for updates before they can be served from the browser cache. Even then, an individual

user’s browser can only serve objects that the user has seen before.

With Blue Coat ProxySG acceleration, all objects are cached on the local appliance the first time

they are downloaded. All subsequent requests for that object, from any user, will be served that

locally cached object. In the event that an object or request is slightly different from a previous

request, the appliance will only request the changes to the data over the WAN.

For example, Blue Coat object cache maintains up-to-date copies of all downloaded objects. If a

user requests an outdated or changed copy of a document, the byte-caching capability of the

ProxySG has patterns and tokens that require only the tokens, plus the changes to be sent. In

addition, the patented Blue Coat “Adaptive Refresh” technology is used to proactively refresh

cacheable items. Based on dynamic change frequency and use, every object in the store will be

updated as appropriate. Adaptive Refresh increases effectiveness of the cache, and ensures all

data served from cache is up-to-date.

What little information ends up being requested over the WAN is first compressed by the

ProxySG. Compression gains can range from 10% up to 650%, depending on the information

requested and then protocol optimized to further reduce bandwidth consumed and round trips.

“In testing, we saw

bandwidth reduction up to

98%, due to byte and object

caching and compression.”

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The Test Landscape at SAP Co-Innovation Lab

To implement the logical architecture described in Figure 2, SAP and Blue Coat together set up

a testing landscape at SAP Co-Innovation Lab. In this landscape, Blue Coat ProxySG appliances

are deployed on both sides of a WAN network, with a basic transparent deployment shown in

Figure 4 below.

Figure 4: SAP BusinessObjects Enterprise and Blue Coat Network Deployment at SAP Co-Innovation Lab

In the lab deployment and testing, technology from Shunra, a member of SAP Co-Innovation

Lab, was used to emulate the following network configurations:

Network Scenario

Description

Bandwidth (Mbps)

Latency (milli sec.)

Packet loss (%)

Number of current SAP

BusinessObjects Enterprise users

tested

Tokyo 5 200 1 300

China 2.5 250 1 300

India 1.5 350 10 300

T3 44.7 300 1 300

DSL 0.768 40 1 80

ISDN 0.128 300 1 80

Satellite 45 1200 20 80

Table 1: Network configurations tested at the lab

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The following sections highlight the key results we collected in the lab.

Bandwidth Reduction

From tests conducted in our lab, we saw byte and object caching, combined with compression,

reduce the traffic over the WAN up to 95% for each scenario tested. Figure 5 below shows the

bandwidth statistics in a snapshot of the ProxySG user interface during the “China” test

described in Table 1 above. All other tests with the scenarios described in Table 1 achieved

very similar results.

Figure 5: Portion of the ProxySG UI during testing showing 97% bandwidth reduction

Freeing up bandwidth in such a dramatic fashion means that a customer has many options:

• Serve more users, thanks to free space on the WAN

• Offer more or richer applications over the same WAN link

• Save cost by reducing the amount of bandwidth required at each branch

User Response-Time Improvement

The results summarized in Table 2 below are typical for Blue Coat WAN acceleration for a

deployment of SAP BusinessObjects Enterprise over a link simulated to perform like typical

WAN links in India with the following network characteristics:

• 300 users

• 1.5Mpbs

• Latency of 350ms

• 1% packet loss

This is very typical of the size, speed, and latency of links serving many Indian offices.

98% bandwidth

reduction of SAP

BusinessObjects

Enterprise traffic due

to caching and

compression

Bandwidth gains of up to 35 times in

this test mean that a smaller link

could be used without impacting

performance.

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The gains in this scenario mean that response times for viewing a report with 10,000 rows

(shown in transaction type “Open WebI 10000”) go from just under

seconds with Blue Coat WAN Optimization.

Scenario Transaction Type

WAN Only Logon

Blue Coat Logon

WAN Only Open WebI 10000

Blue Coat Open WebI 10000

WAN Only Open WebI 25000

Blue Coat Open WebI 25000Table 2: WAN response time dropped from over five minutes to under 10 seconds with Blue Coat

Across all tests, Blue Coat accelerated the user response of

from high bandwidth down to very low bandwidth links, with varied latencies.

As shown in Figure 6, our test saw response

bandwidth link T3 scenario with the following properties:

• 300 users

• 44.7 Mbps

• Latency of 300 ms

• 1% packet loss

Figure 6: Response times for 10,000

On the opposite side of the bandwidth spectrum,

time improvements of nearly 200 times

characteristics:

• 80 users

• 768 kbps

• Latency of 40 ms

• 1% packet loss

11

The gains in this scenario mean that response times for viewing a report with 10,000 rows

(shown in transaction type “Open WebI 10000”) go from just under 5 minutes to just 6.7

Optimization.

Transaction Type

Average

time (in sec) Improvement

426.051

8.241 51.7x

Open WebI 10000 298.469

Open WebI 10000 6.746 44.2x

Open WebI 25000 252.191

Open WebI 25000 6.632 38.0x esponse time dropped from over five minutes to under 10 seconds with Blue Coat

Across all tests, Blue Coat accelerated the user response of SAP BusinessObjects Enterprise

very low bandwidth links, with varied latencies.

saw response-time improvements of over 4 times in our high

scenario with the following properties:

Response times for 10,000-row report improved 4.3 times over T3 connection; 1% packet

On the opposite side of the bandwidth spectrum, as shown in Figure 7, we proved response

times for a simulated DSL connection with the following

The gains in this scenario mean that response times for viewing a report with 10,000 rows

minutes to just 6.7

mprovement

esponse time dropped from over five minutes to under 10 seconds with Blue Coat

SAP BusinessObjects Enterprise,

in our high-

acket loss

we proved response-

the following

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Figure 7: Response times for 10,000

Ensure Performance Without Bandwidth Upgrades

Based upon our lab results, we can see

scenarios is latency. As latency rises, so do user response times. This type of one

performance degradation due to increased latency is typical of applications

round trips across the WAN to access and present data.

Bandwidth is a secondary problem, causing extreme user response degradation in the tests

where bandwidth is limited to less than 1Mbps. However, adding bandwidth is not a guarantee

of success, as throughput increases overcome the performance degradation imposed by high

latency.

As shown in Figure 8, our testing showed that Blue Coat accelerat

upgrade bandwidth in many cases. Without Blue Coat acceleration, the lower bandwidth in the

China scenario results in a report returning 10,000 rows of data taking over 220 seconds (3.6

minutes) to load. Blue Coat WAN acceleration brings that time down to 2.9 seconds

of the time it took before acceleration. The same test seems to perform re

acceleration over a T3 link, requiring only 11.6 seconds for the same 10,000

However, Blue Coat improves that performance as well, bringing the same transaction down to

2.7 seconds on the T3 link.

Figure 8: Blue Coat Acceleration means low-bandwidth links perform just like high

These results indicate that the size of the link is significantly less important after acceleration.

Both the expensive 44.7 Mbps link and the significantly less expensive 2.5M

same performance after acceleration. This means

Enterprise do not necessarily require costly bandwidth upgrades if Blue Coat acceleration is

deployed as part of the solution.

11.642

2.891

2.698

0 50 100

China - 2.5Mbps/250ms

T3 - 44.7Mbps/300ms

12

Response times for 10,000-row report improved 199 times over DSL connection

Performance Without Bandwidth Upgrades

can see that the primary problem with each of the tested

scenarios is latency. As latency rises, so do user response times. This type of one-to

performance degradation due to increased latency is typical of applications that require many

ross the WAN to access and present data.

Bandwidth is a secondary problem, causing extreme user response degradation in the tests

where bandwidth is limited to less than 1Mbps. However, adding bandwidth is not a guarantee

es overcome the performance degradation imposed by high

ur testing showed that Blue Coat acceleration negates the need to

Without Blue Coat acceleration, the lower bandwidth in the

scenario results in a report returning 10,000 rows of data taking over 220 seconds (3.6

minutes) to load. Blue Coat WAN acceleration brings that time down to 2.9 seconds

of the time it took before acceleration. The same test seems to perform relatively well without

acceleration over a T3 link, requiring only 11.6 seconds for the same 10,000-row report.

However, Blue Coat improves that performance as well, bringing the same transaction down to

bandwidth links perform just like high-bandwidth links

These results indicate that the size of the link is significantly less important after acceleration.

Mbps link and the significantly less expensive 2.5M bps link show the

same performance after acceleration. This means that deployments of SAP BusinessObjects

do not necessarily require costly bandwidth upgrades if Blue Coat acceleration is

222.219

100 150 200 250

Blue Coat

WAN Only

the primary problem with each of the tested

to-one

require many

Bandwidth is a secondary problem, causing extreme user response degradation in the tests

where bandwidth is limited to less than 1Mbps. However, adding bandwidth is not a guarantee

es overcome the performance degradation imposed by high

negates the need to

Without Blue Coat acceleration, the lower bandwidth in the

scenario results in a report returning 10,000 rows of data taking over 220 seconds (3.6

minutes) to load. Blue Coat WAN acceleration brings that time down to 2.9 seconds – just 1.3%

latively well without

row report.

However, Blue Coat improves that performance as well, bringing the same transaction down to

These results indicate that the size of the link is significantly less important after acceleration.

link show the

of SAP BusinessObjects

do not necessarily require costly bandwidth upgrades if Blue Coat acceleration is

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Conclusion In each of the test scenarios developed in SAP Co-Innovation Lab, Blue Coat WAN Optimization

dramatically improved end-user response time. With these types of performance numbers we

can confidently state that a global centralized deployment of SAP BusinessObjects Enterprise

can be similarly designed to ensure fast response times to end users around the world, with

little network impact wherever they are located. Therefore:

• Tremendous cost savings in hardware, software, maintenance, and personnel can be

achieved by only having to deploy one system.

• Greater ease of operational maintenance can be achieved by only having to administer,

monitor, and patch/upgrade a single system.

• Quality response times and system access can be provided to users around the world,

wherever they may be located and through whichever (broadband) connection they may

connect. This invites more extensive use of business intelligence, and therefore realizing

the potential of its business value.

It is also worth mentioning that Blue Coat WAN optimization is by no means restricted to SAP

BusinessObjects Enterprise software. It can optimize other Web applications in use, such as SAP

applications, e-mail traffic, and other network-sensitive applications, improving the overall

network experience of all users.

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