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Application Performance and WAN Speedup

Terry Critchley

Much emphasis is placed on servers and storage when discussing Application Performance, mainly because the application lives on a server and uses storage. However, the network has considerable importance, certainly in the case of WANs where there are ways of speeding up the transmission of data of a network. These techniques usually go under the title WAN Acceleration or WAN Optimization.

It is often thought that the limiting factor in speed of network transmission is the bandwidth of the medium involved but this is not strictly true. There are techniques for getting better performance from WANs, often by biasing data transmission priorities towards more important business processes. Having designed the WAN network and its components, is that it then? Job done?

Not really, since there are tricks you can employ to enhance performance but that is a bonus not a panacea for poor design. There are ways to get apparent extra bandwidth without a disruptive upgrade.

The normal definition is the optimization of available bandwidth in the areas:

■ Don't send what you don't need to send, especially large files or print loads

■ If it must be sent, try to schedule it appropriately so as not to interfere with critical workloads. Use business prioritization as the decision yardstick

■ Use techniques to optimize use of the available bandwidth (discussed below).

1. Caching

This is the storage of data transmitted from a source to a destination at that destination. If the same data is requested at the destination, the optimization software recognizes this and stops any request to the original source for a retransmission.

2. Deduplication

Data deduplication is the replacement of multiple copies or blocks of data (at various levels of granularity) with references to a shared copy in order to save storage space and/or bandwidth (SNIA Definition). Data deduplication can operate at the file, block or bit level.

3. Compression

This is fairly obvious and the data transmission is reduced by an amount dictated by the efficiency of the data compression/decompression algorithms used. The efficiency of a compression technique is measured by the ratio original size of data to the compressed size.

4. FEC (Forward Error Correction)

A “receiver makes it right” transmission technique where extra bits are added to a packet/message for analysis at the receiving end. In general, it means that the receiving end of the transmission is able to detect, and in most cases correct, any erroneous transmissions.

Packets warranting retransmission may:

■ be corrupted due to errors, for example noise

■ lost in link or host failures

■ dropped due to buffer overflow

■ dropped due to aging or sell by date exceeded, for example the TTL (Time To Live) field in IP (Internet Protocol)

5. Traffic shaping

Traffic shaping is the practice of regulating network data transfer to assure a certain level of performance, quality of service (QoS). The practice involves favoring transmission of data from higher priority applications over lesser ones, as designated by the business organization. It is sometimes called packet shaping.

6. Congestion Control

This TCP function is designed to stop the sender shipping more data than the network can handle, as if trying to drink from a fire hose. TCP uses a number of mechanisms based on a parameter called the congestion window.

7. Protocol acceleration

A class of techniques for improving application performance by avoiding or circumventing shortcomings of various protocols. There are several forms of protocol acceleration:

■ TCP Acceleration

■ CIFS (Common Internet File Systems) and NFS (Network File System) Acceleration

■ HTTP (Hypertext Transfer Protocol) Acceleration

■ Microsoft Exchange Acceleration

See reference 7 below, under "WAN Optimization References" which presents good coverage of some of the factors listed above.

8. Transmission protocol

Choose your transmission protocol according to what you are transmitting. Some protocols are better than other at transmitting certain types of data. This will also dictate the expected loss (and hence retransmission) rate

9. Take advice

Take advice from outside if you aren't sure what you are doing.

10. Tricks of the trade

Some of the tricks of the optimization trade are:


Dr. Terry Critchley is the Author of "Making It in IT", "High Performance IT Services" and “High Availability IT Services”.

This blog was created from extracts from Terry Critchley's book: High Performance IT Services [ August 25 2016]


WAN Optimization References

There are a number of useful references on this topic. I found all the following ones useful in various areas as well as being quite easy to follow. I have therefore decided to list them all and let the network experts among you choose your own favorite.

1. WAN Optimization Part 1: TCP Limitations

2. WAN Optimization Part 2: Put Performance Second

3. WAN Optimization Part 3: Overcoming Bandwidth Limitations

4. The 2014 Application & Service Delivery Handbook. Part1: Introduction and Challenges
[Search on “Application and Service Delivery Handbook” to find versions from 2011, 2012 and 2013. Add the search term “webtorials” if the hit list is too large.]

5. The Definitive Guide to Cloud Acceleration

6. An Introduction to IP Header Compression

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Application Performance and WAN Speedup

Terry Critchley

Much emphasis is placed on servers and storage when discussing Application Performance, mainly because the application lives on a server and uses storage. However, the network has considerable importance, certainly in the case of WANs where there are ways of speeding up the transmission of data of a network. These techniques usually go under the title WAN Acceleration or WAN Optimization.

It is often thought that the limiting factor in speed of network transmission is the bandwidth of the medium involved but this is not strictly true. There are techniques for getting better performance from WANs, often by biasing data transmission priorities towards more important business processes. Having designed the WAN network and its components, is that it then? Job done?

Not really, since there are tricks you can employ to enhance performance but that is a bonus not a panacea for poor design. There are ways to get apparent extra bandwidth without a disruptive upgrade.

The normal definition is the optimization of available bandwidth in the areas:

■ Don't send what you don't need to send, especially large files or print loads

■ If it must be sent, try to schedule it appropriately so as not to interfere with critical workloads. Use business prioritization as the decision yardstick

■ Use techniques to optimize use of the available bandwidth (discussed below).

1. Caching

This is the storage of data transmitted from a source to a destination at that destination. If the same data is requested at the destination, the optimization software recognizes this and stops any request to the original source for a retransmission.

2. Deduplication

Data deduplication is the replacement of multiple copies or blocks of data (at various levels of granularity) with references to a shared copy in order to save storage space and/or bandwidth (SNIA Definition). Data deduplication can operate at the file, block or bit level.

3. Compression

This is fairly obvious and the data transmission is reduced by an amount dictated by the efficiency of the data compression/decompression algorithms used. The efficiency of a compression technique is measured by the ratio original size of data to the compressed size.

4. FEC (Forward Error Correction)

A “receiver makes it right” transmission technique where extra bits are added to a packet/message for analysis at the receiving end. In general, it means that the receiving end of the transmission is able to detect, and in most cases correct, any erroneous transmissions.

Packets warranting retransmission may:

■ be corrupted due to errors, for example noise

■ lost in link or host failures

■ dropped due to buffer overflow

■ dropped due to aging or sell by date exceeded, for example the TTL (Time To Live) field in IP (Internet Protocol)

5. Traffic shaping

Traffic shaping is the practice of regulating network data transfer to assure a certain level of performance, quality of service (QoS). The practice involves favoring transmission of data from higher priority applications over lesser ones, as designated by the business organization. It is sometimes called packet shaping.

6. Congestion Control

This TCP function is designed to stop the sender shipping more data than the network can handle, as if trying to drink from a fire hose. TCP uses a number of mechanisms based on a parameter called the congestion window.

7. Protocol acceleration

A class of techniques for improving application performance by avoiding or circumventing shortcomings of various protocols. There are several forms of protocol acceleration:

■ TCP Acceleration

■ CIFS (Common Internet File Systems) and NFS (Network File System) Acceleration

■ HTTP (Hypertext Transfer Protocol) Acceleration

■ Microsoft Exchange Acceleration

See reference 7 below, under "WAN Optimization References" which presents good coverage of some of the factors listed above.

8. Transmission protocol

Choose your transmission protocol according to what you are transmitting. Some protocols are better than other at transmitting certain types of data. This will also dictate the expected loss (and hence retransmission) rate

9. Take advice

Take advice from outside if you aren't sure what you are doing.

10. Tricks of the trade

Some of the tricks of the optimization trade are:


Dr. Terry Critchley is the Author of "Making It in IT", "High Performance IT Services" and “High Availability IT Services”.

This blog was created from extracts from Terry Critchley's book: High Performance IT Services [ August 25 2016]


WAN Optimization References

There are a number of useful references on this topic. I found all the following ones useful in various areas as well as being quite easy to follow. I have therefore decided to list them all and let the network experts among you choose your own favorite.

1. WAN Optimization Part 1: TCP Limitations

2. WAN Optimization Part 2: Put Performance Second

3. WAN Optimization Part 3: Overcoming Bandwidth Limitations

4. The 2014 Application & Service Delivery Handbook. Part1: Introduction and Challenges
[Search on “Application and Service Delivery Handbook” to find versions from 2011, 2012 and 2013. Add the search term “webtorials” if the hit list is too large.]

5. The Definitive Guide to Cloud Acceleration

6. An Introduction to IP Header Compression

Hot Topics

The Latest

The enterprises that will define the next decade are not the ones that deployed the most technology. They are the ones who understood what their technology was actually doing. That distinction is not a philosophical point. It is the central operational challenge facing every organization that has spent the last five years modernizing at speed ...

AI is becoming the operating system of the enterprise. It acts as an invisible coordination layer that understands intent, connects systems, and executes work across complex SaaS environments. Previously, employees had to click through multiple systems — CRM, ERP, support tools, collaboration platforms — to complete a single task. Now, instead of navigating each application manually, they can simply state what they need to accomplish ...

In 2026, the cost of downtime or an outage is no longer just a technical inconvenience; it's a $600 billion wake up call for global businesses. As our digital ecosystems become  more interconnected, each touchpoint introduces new risks and multiplies the consequences when things go wrong. And the data is clear: aggregate downtime costs  for Global 2,000 companies have surged 50% since 2024, reaching a staggering $600 billion ...

Deloitte found that 74% of enterprises expect to deploy agentic AI solutions in the next 24 months. However, the rush to deployment is outpacing foundational work, though. Only 21% of enterprises have fully formed agent governance models in place. The result? AI agents deployed without guidance or governance begin to function as fragmented islands of complexity ...

Cloud spending is no longer viewed as a passthrough IT expense, but as a strategic financial lever that directly impacts innovation capacity, profitability and enterprise resilience, according to the CFO Cloud Cost Optimization Report from Azul ...

As AI moves from generating responses to performing actions, the need for trust increases exponentially. And as organizations enlist AI agents for increasingly sophisticated business processes, trust is going to be the single most important theme for spurring adoption. What can organizations do to build trustworthy AI agents? ...

I've spent a lot of time in the channel, and one thing I keep coming back to is this: a partner program is only as good as what it looks like in the field. Many programs look great on paper, but when a partner is in front of a customer navigating a complex hybrid environment or trying to make the case for AI-powered observability, the gap between what a vendor promises and what it actually delivers becomes very clear, very fast ...

Enterprises today operate in a real-time environment where uninterrupted access to trusted data has become a baseline expectation for users, applications and automated systems. Traditional DataOps models, built on manual effort and human triage, cannot keep pace with this always active demand. AI agents are emerging as the operational backbone, ensuring consistent data availability, reinforcing trustworthiness and enabling a level of scale that manual processes cannot achieve ...

For decades, trust in the digital workplace rested on familiar signals. We trusted faces on video calls, voices on the phone, and emails that appeared to come from people we knew. These cues felt human and intuitive. They anchored how decisions were made, approvals were granted, and access was authorized. AI-powered deepfakes have quietly broken that model ...

Cloud migration was supposed to be a one-way door. For most enterprises, it turns out it isn't. Cloud data repatriation is a real and growing trend. A new survey ... finds that 89% of organizations plan to expand their on-premises infrastructure footprint over the next two years — and 75% have already moved at least some workloads back from public cloud in the past 24 months. The findings point to a broad rethinking of where data belongs ...