Sandvine 1.0 MIGRATION to ANI
SV 1.0 Network Elements
Policy Traffic Switch (PTS)
SDE-Subscriber Mapping
PTS, SDE - Record Generator (Rf)
PTS (Gy Integration)
PTS (Gx Integration)
PTS (Sd Integration)
SDE (Sy Integration)
SDE (Rx Integration)
SDE (Quota Manager/PCRF)
SPB (Subscriber role)
SPB (Statistics role)
Network Demographics Server (NDS)
Control Center
License Manager server
SV ANI Network Elements
Active Logic (AL)
Maestro
Insights Data Storage (IDS)
Deep Insights / ANI portal
Active Logic Client (AL Client)
Elements
Description
Traffic classification and Management (i.e Protocol recognition, Usage counting, Shaping, Blocking etc.) Active logic handle just Data plane traffic. All the control plane traffic and integration (ex. Gy, Gx) is moved to Maestro in Sandvine ANI architecture
Gy, PCRF (Gx), QM , Sd, Sy, Record Generator (Rf) and Rx (IMS) functionalities of PTS, SDE moved to Maestro. All Control plane functionalities to be controlled by Maestro explicitly
SPB (postgres) v/s IDS (Vertica database)
IDS provides ODBC connector for external integration
Visualization and Reporting platform
Real time traffic view and Ruleset configuration
License and ANI nodes System Configuration Manager
We are experts in Sandvine’s execution
Our objective is to understand your company
and help you meet your precise needs.
Sandvine & BCTINetworks become more efficientRationalize disparate data sourcesEnable service differentationIncrease profit margins
Our BCTI engineers have the hands-on product and all platform knowledge. They will help your company understand, optimize and leverage from the wide library of solutions and use cases.
Our objective is to understand your company and help you meet your precise needs. To do so, we can custom projects to fit your requirements.
- Operators benefit from the power of machine learning, reduces the need for manual intervention, translating into a more efficiently run network, and direct resource and cost savings
Automation
Benefit from the power of machine learning and reduce the need of manual intervention
Intent-Based Congestion Management:
Manage congestion based on network QoE targets for applications.
Automated Mobile Congestion Management:
Dynamically manage mobile QoE during congestion.
Automated Home and Access Network Diagnostics:
Proactively diagnose and troubleshoot home and access issues
Automated Churn Prediction and Prevention:
Mitigate potential customer churn with proactive detection.
Analytics
Stop guessing and start taking decisions with Network Intelligence!
Network Performance Monitoring and Analysis.- Monitors the metrics that makes the difference to determine if user expectations are met. Increase your customer satisfaction!
With Network Performance Monitoring and Analysis you can improve QoE, create competitive differentiation, potentially gain market share, reduce churn, and increase profitability.
Analyze and detect new trends!
Today’s Operator challenge: deliver the best possible customer experience. Personalize services and Improve customer engagement. This is accomplished understanding the user network behavior (e.g., web browsing habits, video interests, application popularity, etc.).
Poor service quality, whether real or perceived, is enough for customer to take any action, from calling support line, to consider a new network operator.
- Service Planning: granular user data structured to answer service planning questions, including precise application usage/quality.
- Service Quality Trends: individual users and segmented user groups’ historical QoE key performance indicators.
- Service Quality Troubleshooting: an optional, real-time customer experience view used by customer care teams to identify and resolve quality issues, usage overages, and billing disputes.
With Subscriber Service Analysis operators gain valuable customer-centric insights
that are tied to the performance of the network’s most critical and popular services. They can achieve mass personalization, unlocking monetization opportunities and improving customer retention.
Network operators have to plan and expand capacity. But the solution is more complex than simply fattening pipelines; today’s networks are a mix of traditional network elements, caches, and content delivery networks, making it difficult (and expensive) for operators to adapt existing infrastructure.
To make informed decisions about capacity planning and network engineering, today’s network operators need the deepest possible insight into usage trends.
- Unmatched visibility into network traffic and trends.
- Advanced QoE metrics, with granular application visibility, user visibility, and network topology/hierarchy awareness.
Capacity Planning Analysis also provides more visibility into how subscribers are using the network, allowing operators to plan their network strategy for both short- and long-term needs.
Encryption is the second biggest challenge for operators when it comes to video. Thanks to encryption, operators are losing visibility on the once informative video metadata.
Video quality of experience is closely correlated to overall customer satisfaction, operators need true insight into how all types of video is performing on their network.
- Detects and analyzes video streams,
- Monitors the network’s capacity to deliver an ever-increasing amount of video
- Understands end user video quality perception.
With VideoQoE Analysis you can get benefit from visibility into: encrypted video QoE, the root causes of poor QoE, CDN/cache efficacy, and the impact poor video QoE has on churn rates.
With this solution data operators are empowered to make quick and accurate decisions and better understand their VoIP and VoLTE delivery to subscribers.
- Understand call quality experience across the network.
- Complements traditional operational metrics by highlighting individual VoIP application performance
- Provides network operators granular data to monitor voice QoE
Operators can diagnose and troubleshoot poor voice quality and identify the root cause faster and with greater context.
Nowadays it is a big challenge for operators to protect the network from malicious and organized cyber criminals.
- Cyber Threat Analysis : Quantifies malicious traffic and the impact to network capacity.
- Gives an in-depth look at the security threats on the network, answering key questions related to:
- geolocation-based origin
- threat types
- potential users and devices involved
- number of established and unestablished connections
- volume/bandwidth impact
Identifying infections earlier, operators can proactively intervene before major problems appear; for instance, by contacting users with infected devices and assisting them with a remediation process.
NETWORK OPTIMIZATION
Sandvine has a mechanism to recognize congestion and trigger the appropriate policy that only impacts the exact part of the network or traffic. Enables network operators to balance the traffic and distribute network capacity fairly between users to ensure maximum delivered QoE. Operators can achieve balance between two competing factors – reduced CAPEX/OPEX and good QoE.
Video Streaming Management
Sandvine enforces intelligent rate limits on a per-stream basis,
ensuring fairness and reducing the average bitrate per stream without compromising quality.
By managing video streaming traffic, network operators can ensure:
Consistent delivery of high-quality video
Protect other services from disruptive video traffic spikes
Extend the useful life of network infrastructure
Improve ROI and deferring investment
Heavy user management
This typically small segment of users can account for a disproportionate amount of network bandwidth, essentially taking more than their fair share.
Network operators can ensure shared network resources remain available for all users by:
1.- measuring usage over a defined period (e.g., by day, by week, by month, by rolling window)
2.- linking management policies to different factors (e.g., time of day, risk of congestion, number of users on a resource).
Wholesale and Peering Link Management
By carefully managing traffic on wholesale and peering links, network operators can precisely control costs and even improve the QoE for all network users.
This use case gives operators the necessary visibility (for example, a view of where traffic is flowing and of the performance of links) to smooth traffic for better QoE and cost control.
Carrier Grade NetworkAddress Translation (CGNAT)
Mitigate IPv4 address exhaustion while maintaining network visibility. An intelligence-based solution, bringing subscriber awareness for end-to-end service visibility and delivering comprehensive analytics, reporting, and user logging capabilities that can be updated with both the internal address and the external representation.
Traffic Steering/Diversion
Redirects highly specific application, protocol, and subscriber traffic with great precision, ensuring only the desired flows are diverted to the network service node.
This solution allows operators to:
- Reduce the number of inline elements, streamlining operations and providing higher availability at a lower cost.
- Support network actions that require granular intelligence such as user-based opt-in video optimization.
REVENUE GENERATION
Usage-Based Services
Zero-Rating and Application-Based Plans
Parental Control
Video and Television Fraud Management
Interconnect Bypass Fraud & Data Fraud Management
Data Revenue Leakage Monitoring
REGULATORY COMPLIANCE
Regulatory Quality Monitoring
Regulatory Data Retention
Regulatory Traffic Management
Regulatory VoIP Management
Regulatory Data Insights
Regulatory Cyber Threat Analysis
