Unparalleled Insight: Multi-Service Business Intelligence
Delivering customer-focused service assurance from A to V (including QoE)
We are demonstrating an integrated business intelligence application prototype that combines service with network-centric views for voice and video services, providing real-time customer satisfaction metrics and root cause forensics. Read More
Business Proposition
| - Mobile voice remains the essential monetized service, demands continued development and support of service assurance systems.
- Mobile video is 50% continues to grow, yet video delivery services continue to expand while video service assurance lags behind.
- Demand for accurate, scalable video service assurance.
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TM Forum Standards in Use
or Development
| This project will produce new eTom Level 4 tasks/process flows and new SID modeling in service assurance areas, contributing directly back to TMF Frameworx. |
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Team Member Contributions
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Tektronix: Voice and data analytics and business intelligence. Read More
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Avvasi Inc: Video analytics and business intellgence. Read More
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Demonstration Scenarios
| Device Analytics: Identify which devices are driving the most traffic, QoE by device, device impact on network traffic. Read More
Service Assurance: identify which sites are drive the most traffic (YouTube, Netflix), identify popular content for on-deck services, off-deck vs on-deck usage, etc. Read More
Network capacity and congestion analytics: identify popular streaming protocols, identify cells/backhaul sites most congested, measure impact of congestion on QoE. Read More
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Forumville
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Customer Champion Quote
| "While voice service is managed as a form of network data, the quality of voice service has never been measured as a factor of packet loss and latency. Knowing this, we have well-established tools to measure and rate voice quality,” said Hesham Kamel, Head of Mobile & Fixed Core Solutions, ORASCOM TELECOM. “Yet, when it comes to video traffic, many vendors measure quality as if it were another form of downloaded web content. Much like voice service, a standardized method for accurately measuring how the customer experiences video is needed. Such a system must be integrated into voice and data analytics systems, and provide an accurate and scalable business intelligence that can be deployed through our many properties around the globe."
Hesham Kamel, Orascom Telecom |
| | | | | Team Members | Orascom Telecom is a leading international telecommunications company operating GSM networks in high growth markets in the Middle East, Africa and Asia, having a total population under license of approximately 506 million with an average mobile telephony penetration of approximately 48% as of September 30th, 2010. Orascom Telecom operates GSM networks in Algeria ("OTA"), Pakistan ("Mobilink"), Egypt ("Mobinil"), Bangladesh ("Banglalink"), North Korea (“Koryolink”) and Canada (“Wind Mobile”) through its indirect equity shareholding in Globalive Wireless. In addition it has an indirect equity ownership in Telecel Zimbabwe (Zimbabwe) and through its subsidiary Telecel Globe; OTH also operates in Burundi, the Central African Republic and Namibia. Orascom Telecom reached almost 98 million subscribers as of September 30th, 2010.
Orascom Telecom is traded on the Cairo & Alexandria Stock Exchange under the symbol (ORTE.CA, ORAT EY), and on the London Stock Exchange its GDR is traded under the symbol (ORTEq.L, OTLD LI). For more information visit www.orascomtelecom.com | | | | Tektronix Communications provides service providers and equipment manufacturers around the world an unparalleled suite of network diagnostics and service assurance solutions for fixed, mobile, IP and converged multi-service networks. This comprehensive set of solutions support a range of architectures and applications such as LTE, fixed mobile convergence, IMS, broadband wireless access, WiMAX, VoIP and triple play. Tektronix Communications is headquartered in Plano, Texas. Learn more about the company’s test, measurement and service assurance solutions by visiting www.tektronixcommunications.com. | | | | Avvasi solutions enable service providers to strike a balance between reducing network operational costs, while preserving their customer’s experience. At the core of Avvasi solutions is a unique technology that offers a scalable, passive measurement capability that reports video-based QoE. Much like MOS scores, this perceptual measurement accurately reflects the subscriber’s perceived experience with video content. This innovative technology provides a powerful analytics and assurance solution when combined with congestion awareness and the ability to break down video traffic by device, source, content, media format, media duration and network topology. |
| Business Proposition | - As mobile voice remains the essential monetized service for virtually all service providers, it demands the continued development and support of service assurance systems.
- Mobile video is 50% of all traffic and is predicted to represent nearly 70% of all mobile traffic by 2013. Video delivery services continue to expand while video service assurance lags behind.
- Lab-based test equipment can accurately measure video QoE but is not scalable.
- Scalable solutions such as DPI probes that measure network QoS cannot accurately measure video QoE because they only consider network conditions such as capacity and congestion.
- Traditional DPI probes may indicate good QoE in the absence of dropped packets or traffic congestion.
- The issue becomes how to determine the right QoE for different scenarios: subscriber pays the content provider and not the service provider (Netflix); subscriber pays the service provider (on-deck content); subscriber does not pay for content (YouTube).
- Understand what content sites drive the most video traffic, and identify which devices drive the most video usage
- Understand how different devices impact the network in terms of video traffic and video QoE for different devices
- Measure the impact of optimization on the perceived subscriber video QoE
- Understand impact of off-deck usage on on-deck services and compare video QoE for on-deck service versus off-deck streaming
- Identify which cell sites and backhaul links are most congested due to video
- Identify popular content capable of generating revenue as on-deck offerings
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| Demonstration Summary | | We are demonstrating an integrated business intelligence application prototype that combines service with network-centric views for critical voice and video services, providing valuable unparalleled real-time insight into customer satisfaction metrics and identifying reduced functionality root source (content, network or device) insight. The demonstrated prototype and accompanying eTom/SID framework contributions developed will support open interfaces in order to integrate with other partner vendor/service provider data sources. It is scalable and standards compliant to allow for robust integration with other vendors and deployments, regardless of network size. |
| Demonstration Scenarios | Device analytics
- Video usage patterns associated with new devices, such as the iPad, iPhone and Android phones, differ from the previous generation of smartphones. It is critical to understand how these more powerful, and larger-screen devices impact usage patterns by increasing video resolutions, extending clip durations and influencing content providers.
- Identify devices that drive the most video usage
- Understand video QoE for different devices
- Understand how different devices impact the network in terms of video traffic
Service analytics - Service and product planning groups tasked with developing finely targeted, more compelling video service offerings can use Avvasi VOA video traffic analytics to identify otherwise hidden video usage trends that form the basis of revenue-generating service offerings.
- Understand what content sites drive the most video traffic
- Identify popular content capable of generating revenue as on-deck offerings
- Understand impact of off-deck usage on on-deck services
- Compare video QoE for on-deck service versus off-deck streaming
Network capacity and congestion analytics - Optimization and network operations groups face the challenge of deploying solutions that contain the cost of exponential video traffic growth while maintaining a reasonable perceived quality of experience (QoE) and acceptable churn rates.
- Understand the most popular streaming protocols and video codecs that need to be optimized
- Identify which cell sites and backhaul links are most congested due to video
- Measure the impact of optimization on the perceived subscriber video QoE
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