|By Business Wire||
|August 21, 2014 03:06 PM EDT||
Azimuth Systems, Inc. today announced the availability of its US Operator Performance Benchmarking Case Study. This case study leverages Azimuth’s Analytics Solution to compare performance across four major US networks and highlights the impact of device-network interactions on key device and network KPIs. The case study also introduces “System Interaction KPIs” which are specifically designed to identify how devices impact the network.
Clear performance differences were observed, which led to insightful and in some cases counter-intuitive results:
- The fastest network is 20-50% faster than the other networks despite having more device-network interactions. This network is also the one most likely to offer the best battery life for the device.
- One network offered very good over-the-air data rate, but couldn’t extend these gains to the subscriber resulting in low user perceived data rates.
- The device spent significantly longer (40-60%) time on 3G than on LTE for one operator, potentially due to the network settings among other factors. The relatively high time spent on 3G had a direct impact on user experience.
- The operator with the best application throughput also had the highest number of device-network interactions.
According to Vivek Vadakkuppattu, Director & Head of the Analytics Business unit at Azimuth, “Ever increasing network and device complexity has increased the impact of device-network interactions on the subscriber experience. Traditional testing has not yet caught up to this new reality and instead remains focused on device-specific or network-specific KPIs. The results from this case study highlight that an understanding of device-network interactions can provide new insights into device and network performance, ultimately impacting end user experience.”
Conducting simple comparisons of throughput are no longer sufficient. Devices impact each network differently and a view into device-network interactions using metrics such as “System Interaction KPIs” can offer new insights into performance differences. Azimuth Analytics is a leading platform for automating benchmarking and regression testing of devices and network elements and is designed to provide operators, network equipment manufacturers and device OEMs the data they need to continually improve device and network performance.
The US operator comparison case study can be downloaded from Azimuth’s Website at http://www.azimuthsystems.com/resource-library/case-studies/.
About Azimuth Systems
Azimuth Systems, Inc. is a leader in mobile performance test solutions for network operators, device OEMs, chipset vendors and infrastructure providers. The industry is in an unprecedented period of transition, with the introduction of major new network, device and service technologies, and aggressive competition for an increasingly saturated market. Azimuth delivers systems and software to enable measurement and correlation of user experience, device performance and network events, facilitating rapid identification and resolution of issues, maximizing quality and customer satisfaction, and minimizing time-to-market and network impact. The company is based in Acton, Massachusetts, USA with sales offices around the world. Contact Azimuth at +1 (978) 263-6610 or at www.azimuthsystems.com. Follow Azimuth on Twitter at: http://twitter.com/azimuthsystems.
Azimuth® is a registered trademark of Azimuth Systems. Azimuth Analytics and Diagnostics Network Analytics (DNA) are trademarks of Azimuth Systems.
In today's enterprise, digital transformation represents organizational change even more so than technology change, as customer preferences and behavior drive end-to-end transformation across lines of business as well as IT. To capitalize on the ubiquitous disruption driving this transformation, companies must be able to innovate at an increasingly rapid pace. Traditional approaches for driving innovation are now woefully inadequate for keeping up with the breadth of disruption and change facin...
Nov. 26, 2015 01:00 AM EST Reads: 425
Nov. 26, 2015 12:00 AM EST Reads: 519
Nov. 26, 2015 12:00 AM EST Reads: 479
Nov. 26, 2015 12:00 AM EST Reads: 149
Nov. 26, 2015 12:00 AM EST Reads: 278
Nov. 25, 2015 10:00 PM EST Reads: 342
Nov. 25, 2015 10:00 PM EST Reads: 389
Nov. 25, 2015 09:00 PM EST Reads: 362
Nov. 25, 2015 08:30 PM EST Reads: 365
Nov. 25, 2015 05:00 PM EST Reads: 301
Nov. 25, 2015 03:45 PM EST
Nov. 25, 2015 02:45 PM EST Reads: 493
Nov. 25, 2015 02:30 PM EST Reads: 506
Nov. 25, 2015 02:15 PM EST Reads: 424
Cloud computing delivers on-demand resources that provide businesses with flexibility and cost-savings. The challenge in moving workloads to the cloud has been the cost and complexity of ensuring the initial and ongoing security and regulatory (PCI, HIPAA, FFIEC) compliance across private and public clouds. Manual security compliance is slow, prone to human error, and represents over 50% of the cost of managing cloud applications. Determining how to automate cloud security compliance is critical...
Nov. 25, 2015 02:00 PM EST Reads: 353