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Bytemobile Wins 2010 Mobile Merit Award for Video Optimization

Thursday, May 20th, 2010


Recognizing companies, individuals and technologies that have shaped the way in which the world communicates, the 2010 Mobile Merit Awards winners were announced this week.  

Bytemobile’s Media Optimization solution was selected for an Award of Excellence in the Mobile Technologies Infrastructure category.

                                                  
Through nominations, the Mobile Merit Awards note the excellence achieved in the global mobile industry. This year’s winners were judged based on industry impact, innovation, technologies, social importance, implementation, and overall success factor.

Bytemobile’s field-proven media optimization solution dramatically improves consumers’ mobile video experience while significantly reducing data traffic in the wireless network.

To read the public announcement, click here.

For more information on the Mobile Merit Awards, click here.

-Stacey Infantino

Alert: Data Tsunami in Progress!

Friday, May 14th, 2010

 

Image courtesy of André Pipa via the Creative Commons attribution license.

Are operator networks at risk of drowning in the coming data flood? Judging from the latest mobile data forecast from Cisco, they had better start preparing their networks now.

Globally, mobile data traffic will double every year through 2014, increasing 39 times between 2009 and 2014. Mobile data traffic will grow at a compound annual growth rate (CAGR) of 108% between 2009 and 2014.

Almost 66% of the world's mobile data traffic will be video by 2014. Mobile video will grow at a CAGR of 131% between 2009 and 2014. Mobile video has the highest growth rate of any application category measured within the Cisco VNI Forecast at this time (see Appendix A for applications details).

The Middle East and Africa will have the strongest growth of any region at 133% CAGR, followed by Asia Pacific at 119% and North America at 117% (see Appendix A for regional details).

In my opinion, the most astonishing figure from the report is: “Mobile data traffic is expected to grow to 3.6 exabytes per month by 2014, and over 2.3 of those are due to mobile video traffic”.

Better prepare the networks now!

-Subhi Andrews

2010 Mobile Minute Webinar #2 Tackles Consumer Expectations

Wednesday, May 12th, 2010

On May 11, Mobile Minute teamed with Informa Telecoms & Media to stage its second webinar of the 2010 season – “Meeting Consumer Expectations of the Mobile Internet Experience”. You can access a full replay of the webinar here and on the Mobile Minute page of our website.

The event drew approximately 500 registrants from Europe, the Middle East, Africa, Asia, Latin America, the U.S., and Canada. Attendees included a cross-section of wireless network operators and other mobile ecosystem participants.

The webinar panel consisted of Dez O’Connor, head of Mobile ISP Domain Development at T-Mobile International (Deutsche Telekom); Mike Hibberd, editorial director of Telecoms.com; and Jeff Sanderson, head of Pre-Sales for EMEA and Latin America at Bytemobile.

As moderator, Mike Hibberd led off the discussion with a litany of compelling statistics regarding the growth of mobile broadband subscribers worldwide – from 450 million this year to 670 million next year – and its impact on network congestion and traffic patterns. He cited the experience of O2 UK in managing its iPhone subscriber base – with traffic volume doubling every three months – and TeliaSonera in its implementation of 4G technology and associated customer feedback regarding network performance and quality of service. Hibberd also emphasized the influence of video usage on traffic growth, quoting Cisco Systems’ forecast that multimedia will account for 90% of all wireless data traffic by 2013.

Next, representing a tier-one operator’s perspective, Dez O’Connor talked about the critical importance of intelligent traffic management in return on investment in major network deployments. He echoed Hibberd’s comments about video being the key driver of traffic growth and stressed the value of identifying and addressing ‘congestion hotspots’ in the network. O’Connor called out several techniques for improving network efficiency – packet dropping and shaping, traffic control by tariff and content enforcement, traffic compression and acceleration (optimization), Quality of Service (QoS) as defined in the 3GPP architectural model, and intelligent traffic off-load. He concluded that the timely, selective application of these techniques will enable operators to deliver the best customer experience at the best price – based on a manageable cost structure.

Jeff Sanderson rounded out the panel with a focus on video optimization as a means of sustaining network capacity through explosive traffic growth while controlling infrastructure build-out. He indicated that operators can achieve a more ‘deterministic’ user experience by directly addressing network congestion and its impact on quality and usability. Sanderson discussed just-in-time video delivery and the respective and combined merits of lossless and lossy optimization to reduce video stalling and enable operators to offer differentiated services. He concluded with a summary of the key attributes of smart optimization for multiple traffic types – perpetual value through subsequent generations of networks, especially 4G; dynamic adaptation to change; and a consistently positive experience for both operators and their customers.

Additional Mobile Minute events are being planned for the coming months. We will cover these events on our blog and website as part of our ongoing efforts to provide thought leadership and consultative education to the rapidly evolving mobile internet space.

-Jaishree Subramania

iPad Likely to Tax Operator Networks

Monday, April 26th, 2010

The release of Apple’s iPad marks the introduction of a new class of device into wireless networks. While on the surface, the iPad looks like an iPhone in larger form, the bigger screen also enables richer applications.

Richer applications equate to more content, graphics, larger and higher-resolution images, etc. - which generate more data traffic on operators’ networks. Recent tests by Bytemobile show that applications on the iPad generate more than 150% of the data generated by the same apps on the iPhone.

Highlights of the Apple iPad test, by popular application, are as follows:

Source: Bytemobile

The actual data consumed by these applications is likely to be far larger since a better user experience will encourage longer usage periods - thereby generating even more data. 

Less than three weeks after its launch, Apple’s iPad already accounts for 26% of the mobile devices accessing the popular website Wired.com.


Source: Wired.com

This couldn’t come at a more sensitive time for operators already struggling to keep up with demand from smartphones and laptops. In the short term, operators are responding with large capital investments in network infrastructure. However, this is hardly sustainable with the pricing of data services dropping relative to the volume of data generated by the devices. For example, an unlimited data plan for the iPhone and the iPad are priced the same at $30 a month, while data consumption for the iPad is going to be more than double that for the iPhone. Further, there are currently no fair-use limits on the iPad plan, which could encourage runaway data consumption for users so inclined. In addition, the operators’ price wars limit the sustainability of large network expenditures in keeping up with overall traffic growth.

The fundamental reality is that network capacity is a constrained resource - even with technological advances and infrastructure expansion investments. However, capacity is not a problem everywhere in the network and at all times of the day. Capacity becomes a problem when congestion occurs in crowded cells and during peak usage hours. Managing congestion solves a large part of the problem for operators.

Bytemobile’s optimization solutions are a critical tools used by operators to manage network congestion. Optimization helps alleviate congestion by reducing data volume in the network and thereby improve the user experience. Optimization also detects the occurrence of congestion by monitoring connections and traffic in the data path. Finally, optimization reduces congestion using various techniques that streamline data flow and reduce bandwidth waste.

By acting as a proxy, these solutions are able to dynamically determine both the amount of bandwidth available and the amount required by the application in use. This information is intelligently combined with knowledge of the priority of various traffic flows to provide the best possible experience for the maximum number of users. As a result, operators can support the adoption of bandwidth-hungry devices like the iPad without unsustainable network expenditures. 

-Girish Wadhwani

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