Archive for DPI

Validating Application Detection Signatures

In the new world of next-generation networks, pretty much every leading network equipment manufacturer (NEM) today has application-awareness built into their products. Whether it’s an application firewall, serving gateway or edge router, they’re all using deep packet inspection (DPI) to look deep into the network traffic to identify the specific application.

For example, Cisco has Application Visibility & Control, Juniper has AppSecure, Palo Alto Networks has App-ID, Sandvine has Traffic Identification and Tellabs has Application Identification.

Each vendor has their own proprietary database comprised of hundreds or thousands of application signatures and on finding a match, their system can then take action based on the defined policy (e.g. block an application, apply QoS, etc…)

Before these new application signatures are released however, testing is needed to ensure the accuracy of the detection. One of the major challenges is to avoid the false positive, in which an application is misclassified.

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4 full bars but no buzz?… start doing DPI

Ever been in a situation where you have four full bars but can’t make a call? I have, and that’s what made me realize that signal strength is but one of many factors that affect connectivity. Fancy wireless techniques like spatial beam forming and frame aggregation between the cell tower and the phone sounds really cool but if the network is congested at the back end then magic on the radio side won’t amount to much for the user. Full Post »

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Using real apps to test billing and charging on 4G/LTE networks

The hype, and in many cases concern around DPI has always been strong. It has triggered provocative debate on the Internet around privacy, end user rights, the role of the operator, and the extent to which they can monitor what applications we send and receive on the Internet.

The truth is that DPI isn’t just an emerging technology; it’s actually a reality, showing up on traditional fixed line networks, enterprise networks and most recently on mobile networks. Recently, Telefonica announced the deployment of Sandvine’s network policy control solutions to provide visibility across the network for some 250 million subscribers across 20 countries.

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Driving Real Application Traffic Through Junosphere Virtual Infrastructure

Today, Juniper announced Junosphere™ Lab, an innovative on-demand service that gives service providers and enterprises immediate and low cost access to a virtualized environment for designing and testing networks. Very cool stuff – leveraging the power of the cloud and helping customers dramatically reduce their TCO while accelerating the time to model networks.

Real Traffic in a Virtual Environment

So when you spin up a network environment and model a production topology, you’ll then need a way to create realistic application traffic to understand its impact across the network. That’s where we come in.

Mu Studio Performance has been integrated into the Junosphere Lab so you can just as easily spin up (and tear down) virtual instances of our performance testing solution to quickly and accurately recreate a mix of applications that represent the production environment – that is, real users on real devices, running real applications.

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Ensuring the Accuracy of the Mu TestCloud Application Tests

In a previous blog I discussed how we had started to build out the test content for different kinds of applications across categories like P2P, video, chat and social media in our Mu TestCloud store. Fast-forward to today, and we’ve now got well over 2,000 tests, with coverage for hundreds of different apps. We’ve also got lots of customers who are actively using these ready-to-run tests for a wide range of use-cases – everything from verifying application detection signatures to validating application policies, as well as billing and charging.

But regardless of their domain, there are two common questions that customers are curious to understand:

1. How do we select the applications in the first place?
2. How do we ensure the accuracy of the tests?

So for this blog I’m going to give you a behind-the-scenes view into our test content creation process.

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Creating an Application Mix to Model the Production Network

Video and P2P Rule!
The traffic making up today’s networks is in a rapid state of flux. Just last week Sandvine, in their Spring 2011 Global Phenomena Report, noted that real-time entertainment continues to increase, and within North America represents almost 50% of peak fixed access traffic (much of this of course is due to Netflix). P2P traffic also continues to carve out a sizeable piece of the pie at around 20%. The rest is a mix of voice, business apps, games, Facebook and chat.

What’s interesting though is that the relative amount of traffic that isn’t application-level is tiny – all the stuff that makes networks run like DNS, ICMP, BGP and so on.

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Mu App Quadrant #1 – Not all video streaming apps are created equal…

There’s been a lot of debate recently about the impact of video apps on the network. According to Nielsen, Netflix alone now accounts for 20% of downstream traffic during peak times in the United States. In a previous blog Kowsik explained the behind-the-scenes interactions that are happening unbeknownst to you when you watch a Netflix movie. So that got us thinking – are all the popular video apps as network-intensive as Netflix? Are some video apps more user-friendly with their bandwidth consumption than others? Are some video apps more operator-friendly with their consumption of networking resources?

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Mommy, Netflix is eating my firewall!

Personally, as a consumer, I love Netflix, but it hasn’t been the darling of service providers and ISP’s lately. You can read about the Canadian ISP saga here. Our imminent next release of Mu Studio will enable our customers to recreate 1,000,000 concurrent Netflix users watching a movie, so they can understand the impact of their application aware networks. One thing is pretty clear: compared to YouTube, Netflix inflicts so much more pain on the network. Credit for this blog goes to Yuri who did all the reverse engineering. And he’s signed up to Netflix to watch movies during work for “research” purposes. :)

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Testing for Today’s Most Popular Apps…The Holy Grail of Testing?

I’ve been in the testing business for many years now and I’ve come across a lot of grandiose claims by test tool vendors with regards to features and capabilities that just sound too good to be true. And in many cases, they are.

When it comes to today’s world of smartphones and tablets and the explosive growth of web and mobile applications, it’s mind-blowing to see the sheer quantity of apps out there. If you look at the number of apps available today on just three of the leading app stores (Apple, Android and Facebook), there’s over a million applications, with tens of thousands of new ones every single month. Full Post »

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Net Neutrality – Freedom with Responsibility

On Tuesday the FCC came out with a controversial ruling that partially allows service providers to regulate their traffic to avoid congestion and prevent malicious or unfair use of their networks.  The issue is a complicated one that has passionate supporters on both sides. How much to trust big companies to do the right thing? How much to regulate them to ensure fairness and social equity without hampering growth and financial equity. These are old questions but what is interesting to me is why this is becoming a hot issue now?
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