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Posts Tagged ‘optimization’

Bytemobile’s CTO Talks with Mobile Communications International

Monday, April 19th, 2010

              

Dr. Constantine Polychronopoulos, founder and chief technology officer of Bytemobile, recently spoke with Mobile Communications International (MCI), a publication of Informa Telecoms & Media. The interview, which appeared today in MCI’s April edition, focuses on network traffic congestion caused by the mobile data explosion and the solutions available to operators.

Excerpts from the Interview:
“LTE is going to make this problem far more pronounced, for a number of reasons,” he says. “As soon as you offer improved wireless broadband, you open the door to new applications and services. People are always able to come up with new ways of inundating any resource, including bandwidth. We’re going to see more data-driven applications on mobile than we see on the typical desktop, because the mobile device is always with you.”

And while LTE promises greater spectral efficiency than its 3G forebears, Polychronopoulos says, the fact that spectrum remains a finite resource will prove ever more problematic as services evolve.

The entire interview can be found in MCI’s April 2010 issue on pages 40 – 41.

-Stacey Infantino

Optimization – Video Included

Friday, April 16th, 2010

Video Optimization

It seems that every Tom, Dick and Harry is in the Video Optimization space nowadays. Seriously, every vendor with video expertise claims to deliver a smoother video experience with little interruption. As a consumer, I applaud this attempt at creativity. As an industry insider, I’m amazed by the confusion in the market. Let’s review the relevant technologies and separate the hype from the substance.

First, what kind of videos are we talking about? Well…what kind of videos are you watching? YouTube! YouTube and other internet video sites typically deliver content over HTTP using Flash or MP4 encoding. While we watch the video ‘stream’, it is technically being downloaded in small chunks rather than truly being streamed. This means that a video optimization product must ‘inhale’ HTTP Progressive Download (that’s the techie term for the small chunks) and then ‘exhale’ HTTP Progressive Download toward the client. Otherwise, it wouldn’t be able to affect YouTube and YouTube-like content.

Many self-proclaimed video optimization companies focus on completely different content – that is, content streamed using RTSP to devices supporting 3GPP-compliant video players. This is useful to content providers (or network operators acting as content providers by offering subscriptions to premium video channels from their portal), but not to operators who are trying to deliver the content that you and I watch on popular internet sites through their network.

Second, what kind of optimization are we talking about? Many vendors are talking about transcoding, which technically means conversion of content from one format to another. Sometimes transcoding doesn’t change the codec (format). Instead, it performs the function of reducing the number of frames or the resolution. By definition, these content conversions can only reduce the quality of the video – frame numbers or resolution cannot be increased in the process of transcoding. In fact, video quality will be reduced in any conversion process, even if the reduction is unintentional.

Hold on…so what’s good about transcoding? It seems that it can only diminish the user experience. Well…that depends. The wireless network is shared by many people using many applications. If the network is congested, your video may stall. Alternatively, your video may play, but my video will stall. If there is no congestion, then video transcoding can only reduce quality. But when there is congestion, video transcoding could help both of us watch videos with fewer interruptions (albeit at somewhat reduced quality).

This can get complex. Some users on the base station may watch videos, others may browse the web, yet others may interact with apps, and without even knowing it, some may be downloading updates to operating systems, media players, apps, and anti-virus software. As a result, one video user may negatively impact several users engaged in other activities. Should that one video user experience reduced video quality, or should the other users experience slower web downloads and less responsive applications?

Also, how do video optimization vendors know that we are all served by the same base station (shared network)? And how do they know that you are, I am or someone else is experiencing the effects of congestion? As you have probably concluded, optimization algorithms and policies have little to do with transcoding. The trick is to figure out if and when to optimize, and what optimization technique to apply to each transaction. Transcoding itself is just a small piece of the puzzle – a piece which happens to be a completely commoditized technology.

So…what is different about Bytemobile? We provide a holistic video optimization solution – not a discrete technology for an isolated problem. We religiously improve the user experience by averting, detecting and preventing congestion. Other vendors provide a piece of technology with the expectation that the operator will miraculously figure out how to apply it. We have proven the performance of our technology – not only on limited-capability wireless phones, but much more importantly on high-end smartphones such as Android and iPhone devices, as well as full-scale laptops, netbooks and, soon, iPads.

Unlike legacy vendors that designed their systems to handle low-bandwidth devices, our system was originally designed for high-end devices – those that you and I use to watch YouTube videos. This requires a unique architecture that enables us to make complex optimization decisions at the speed of the Internet. It requires tight integration within the core of the wireless network, and it requires visibility into users’ activities and experience. Our video optimization technology – like our web optimization technology before it – has been first to market and first to deploy in commercial network environments.

We humbly call it “optimization – video included”.

-Joel Brand

Image courtesy of Altair Libre via Creative Commons Attribution License.
 

Highway Congestion: The Case for Optimization

Wednesday, April 14th, 2010

An article written by Joel Brand, vice president of Product Management at Bytemobile,  was published by Wireless Week today. The article builds the case for why data traffic optimization will join the portfolio of wireless infrastructure solutions – including LTE, WiMAX, femtocells, and other technologies – that will enable operators to profitably sustain traffic growth now and in the future.

The article as it appeared in Wireless Week:

Highway Congestion: The Case for Optimization

The United States has the most advanced highway system in the world — today's equivalent of 4G/LTE networks of the wireless world — yet my commute on a terribly congested six-lane highway is still a miserable experience.

Even with metering lights, carpool lanes, reversible lanes that carry traffic in different directions based on time of day, detours around excessive congestion due to special events, speed traps and other police presence to ensure orderly traffic flow, tolls like those charged on most bridges in the San Francisco Bay Area, congestion-charging like that implemented in central London, and other techniques to reduce congestion — there is still heavy traffic where most of us want to go and when we want to go there.

Like a highway that is tightly tucked between a mountain cliff and a lake or an ocean, wireless networks are subject to limitations due to a similar lack of a physical resource — namely, wireless spectrum. Like congested road systems in highly populated metropolitan areas, wireless networks are unequally taxed by a large concentration of users. Just as it is impractical to widen downtown city streets by removing apartment complexes and residents, wireless service cannot be built out endlessly by laying cables, installing towers and placing radiating antennas on the balcony of every user's home. One way or another, we need to share the wireless spectrum and the data pipe it offers, just as we share the public road and highway systems. And if operators ignore the devastating effects of mobile data congestion, we will all end up with a very frustrating and possibly unusable wireless service.

NO PANACEA
No single fourth-generation technology — such as LTE or WiMAX — will be a panacea for the traffic jam caused by the mobile data explosion. Yet, there are those who tout LTE as the ultimate solution for limitless capacity. Regardless of the size of the pipe, data usage will inevitably rise to fill the bandwidth available for it.

This is not the case in the wireline (DSL and cable) networks. These networks are over-provisioned to ensure high-quality delivery that allows consumers to watch television programs and listen to radio stations over the Internet.

The availability of wireless spectrum is neither increasing nor limitless. Spectral efficiency - how many bits can be transmitted over a frequency band - is bounded by Shannon's Law and is already approaching its limit with the introduction of LTE. Annual global mobile data traffic has increased 160 percent over the past year to 90 petabytes per month (1 petabyte = 1 million gigabytes), and the average mobile broadband connection that currently generates 1.3 gigabytes of traffic per month is projected to generate 7 gigabytes per month by 2014. As a result, wireless networks cannot be over-provisioned.

Data usage will continue to stretch available bandwidth, even in a 4G environment. Every available hertz of spectrum must be optimally utilized.

Building additional lanes, bridges, overpasses and on-/off-ramps is necessary and certainly helpful in minimizing congestion, yet none of these improvements will completely eliminate traffic problems. LTE is like the highway system — it must be built wide enough to service the demand of the population using it. However, the move to LTE isn't a cure-all — without additional tools to manage the traffic, all lanes will come to a standstill.

Thankfully, there are companies developing the equivalent of metering lights, carpool lanes, toll charges and other techniques to minimize congestion. Femtocells, Wi-Fi offload, MIMO and directional antennas and optimization solutions will be critical components of future wireless communication systems, enabling operators to deliver a high-quality user experience with a limited set of resources in the form of spectrum and radio technology.

OPTIMIZATION'S ENDURING VALUE
Optimization in mathematical terms refers to choosing the best element from a selection of available alternatives. In our highway system, it is a one-dimensional problem: choosing the best path from origin to destination (and make no mistake about it — this is an extremely complex problem). In the wireless data system, it is a multi-dimensional problem: choosing the right mix of content to deliver to end users at any given moment and thereby maximize everyone's experience.

With LTE pushing the boundaries of spectrum utilization and spectrum allocation becoming ever more challenging, the only variable left to control is the content. Optimization is the only technique that can actually modify data — it can compress data or remove unnecessary components like the tail end of a movie clip that the user decides to skip. It can reduce data by adjusting multimedia content to the capabilities of the device on which it is displayed, and when congestion is detected, it can intelligently decide how to prioritize content based on its characteristics.

Actually, optimization is the only technique that can detect congestion and act upon detecting it. Optimization algorithms have visibility into unacknowledged packets, round-trip delays and lost packets to determine at any given moment the level of congestion experienced by every individual user. The combination of this information with knowledge of the radio network topology — basically, the cell site where users are served — can be used to proactively apply optimization algorithms ensuring that all users receive an appropriate share of network resources base on rate plans and the resources available in the operator's network.

Optimization works. In Germany and the U.K., for example, independent consumer research organizations have tested and compared wireless networks. Operators that have deployed optimization technologies consistently rank at the top of the list in terms of their network quality. And because smart optimization techniques evolve to match current network realities, adjust to changing consumer content preferences and readily adapt to the latest mobile devices, they continue to deliver a positive experience for both operators and their customers, and they will continue to be part of future 4G deployments.

Joel Brand is vice president of product management at Bytemobile, where he is responsible for managing and marketing the company's portfolio of wireless data optimization, traffic management and mobile Internet solutions.

Image courtesy of Seattle Miles via the Creative Commons attribution license.

-Stacey Infantino

Optimizing Smartphone Applications and Auto-Updates

Tuesday, March 30th, 2010

Michelle Sklar of bnetTV interviewed Joel Brand, vice president of Product Management at Bytemobile, at International CTIA Wireless 2010. In this video clip from the show floor, Brand discusses the impact that mobile data has had on operators’ networks and highlights Bytemobile’s market-leading optimization solutions.

See the entire interview below.

For more information on Bytemobile’s Optimization solutions, click here.

-Stacey Infantino

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