Web Performance and the Impact of SPDY, HTTP/2 & QUIC - Part 2
May 19, 2016

Jean Tunis
RootPerformance

Share this

This blog is the second in a 5-part series on APMdigest where I discuss web application performance and how new protocols like SPDY, HTTP/2, and QUIC will hopefully improve it so we can have happy website users.

Start with Web Performance 101: The Bandwidth Myth

Start with Web Performance 101: 4 Recommendations to Improve Web Performance

Start with Web Performance and the Impact of SPDY, HTTP/2 & QUIC - Part 1

The HyperText Transport Protocol (HTTP) is the application layer protocol in the TCP/IP stack used for the communication of web traffic. The current version that has been ratified by Internet Engineering Task Force (IETF) is HTTP/2 (more on that later), and it happened in May 2015.

But the most widely used version is the previous version, HTTP/1.1.

According to the HTTP/2 Dashboard, only about 4% of the top 2 million Alexa sites truly support HTTP/2. So we still have a ways to go.

Ratified almost 20 years ago in 1997, HTTP/1.1 was meant to address two big limitations in the previous HTTP/1.0.

HTTP/1.0 Limitations

One limitation was a lack of persistent connections. With 1.0, every HTTP request required opening up a new TCP connection. As mentioned in my previous blog, this requires resources and introduces additional latency.

Another limitation was being able to send multiple requests at one time without needing any responses from the other side. The ability to pipeline requests in HTTP/1.1 was meant to address this.

But as the web continued to advance, it became clear that HTTP/1.1 still had many limitations that needed to be worked on.

HTTP/1.1 Limitations

1.1 has a number of limitations, but I want to talk about three of them that has been issues over the years.

Many small requests makes HTTP/1.1 latency sensitive

With images, HTML files, CSS files, JS files, and many others, HTTP transfers a lot of requests. Many of these requests are short-lived with files that can be on the order of tens of KBs.

But the same process happens each time a new connection is made, and many steps occur every time a new request on the same connection is made. Things like a DNS query, packet propagation from the browser to the server and back, encryption, compression, etc. All these things require time across the network, no matter how small.

So all these little requests introduce latency, thereby making HTTP latency-sensitive.

Pipelining is not multiplexing

Pipelining was supposed to address a limitation in HTTP/1.0. But over the years, we've seen that in HTTP/1.1, it caused other limitations itself.

For one, no matter how many requests were pipelined, the server still was required to respond to each request in order. So if one of those requests got to the server out of the order it was sent, and arrived later, the server could not respond to the other that got there earlier. It had to wait for the out-of-order request before replying to the others.

Two, the nature of the TCP protocol is such that segmentation and reassembly of data occurred in proper order. Due to how the protocol operates, any segments at the head of a stream of segments had to be processed first. This caused the TCP head-of-line blocking.

Because of these limitations, most modern browsers disabled pipelining, thus, obviously defeating the purpose of having it in place as part of the standard.

Short-lived requests affected by TCP slow start

As a connection-oriented protocol, TCP ensures delivery of each and every piece of data it sends. In the early days of the Internet, we didn't have a lot of bandwidth, by today's standard anyway. Remember 56K modems? TCP was designed at a time before then.

To prevent applications from overwhelming the network, and jeopardizing TCP's operations, the concept of a slow-start was introduced in RFC 1122. This ensured that the application would start with sending a little bit of data to the server, initially 1 MSS, wait until it gets an ACK, and then gradually send more data via the congestion window until it gets to the maximum advertised window size.

Years ago, the default number of segments (or congestion window size) was 3. With the default TCP maximum segment size (MSS) being 1,460 bytes, it means that the maximum amount of data that could be sent at one time was only about 4KB.

HTTP requests were small, but not that small. And since HTTP requests often don't last very long, this meant that many requests never got out of TCP slow start before the connection was no longer required.

Since then, the initial congestion window size was increased to 10 segments, or almost 15KB. A paper published by Google in 2010 showed that 10 segments is the sweet spot to maximize throughput and response time. This has become part of RFC 6928.

Read Web Performance and the Impact of SPDY, HTTP/2 & QUIC - Part 3, covering common HTTP/1.1 workarounds, SPDY and HTTP/2.

Jean Tunis is Principal Consultant and Founder of RootPerformance
Share this

The Latest

November 21, 2024

Broad proliferation of cloud infrastructure combined with continued support for remote workers is driving increased complexity and visibility challenges for network operations teams, according to new research conducted by Dimensional Research and sponsored by Broadcom ...

November 20, 2024

New research from ServiceNow and ThoughtLab reveals that less than 30% of banks feel their transformation efforts are meeting evolving customer digital needs. Additionally, 52% say they must revamp their strategy to counter competition from outside the sector. Adapting to these challenges isn't just about staying competitive — it's about staying in business ...

November 19, 2024

Leaders in the financial services sector are bullish on AI, with 95% of business and IT decision makers saying that AI is a top C-Suite priority, and 96% of respondents believing it provides their business a competitive advantage, according to Riverbed's Global AI and Digital Experience Survey ...

November 18, 2024

SLOs have long been a staple for DevOps teams to monitor the health of their applications and infrastructure ... Now, as digital trends have shifted, more and more teams are looking to adapt this model for the mobile environment. This, however, is not without its challenges ...

November 14, 2024

Modernizing IT infrastructure has become essential for organizations striving to remain competitive. This modernization extends beyond merely upgrading hardware or software; it involves strategically leveraging new technologies like AI and cloud computing to enhance operational efficiency, increase data accessibility, and improve the end-user experience ...

November 13, 2024

AI sure grew fast in popularity, but are AI apps any good? ... If companies are going to keep integrating AI applications into their tech stack at the rate they are, then they need to be aware of AI's limitations. More importantly, they need to evolve their testing regiment ...

November 12, 2024

If you were lucky, you found out about the massive CrowdStrike/Microsoft outage last July by reading about it over coffee. Those less fortunate were awoken hours earlier by frantic calls from work ... Whether you were directly affected or not, there's an important lesson: all organizations should be conducting in-depth reviews of testing and change management ...

November 08, 2024

In MEAN TIME TO INSIGHT Episode 11, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses Secure Access Service Edge (SASE) ...

November 07, 2024

On average, only 48% of digital initiatives enterprise-wide meet or exceed their business outcome targets according to Gartner's annual global survey of CIOs and technology executives ...

November 06, 2024

Artificial intelligence (AI) is rapidly reshaping industries around the world. From optimizing business processes to unlocking new levels of innovation, AI is a critical driver of success for modern enterprises. As a result, business leaders — from DevOps engineers to CTOs — are under pressure to incorporate AI into their workflows to stay competitive. But the question isn't whether AI should be adopted — it's how ...