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End To End Service Monitoring For Converged Services

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September 2007

Published in: Technology, Business

End To End Service Monitoring For Converged Services

  1. 1. End-To-End Service Monitoring For Converged Services Danny Itzigsohn Director of Solution Engineering TTI Telecom © 2007
  2. 2. Four Basic Questions Concerning Service Assurance <ul><li>Q1: Can we foresee service failures and avoid them? </li></ul><ul><li>Q2: When affected: </li></ul><ul><ul><li>To what extent is the service disrupted? </li></ul></ul><ul><ul><li>Which customers are being impacted? </li></ul></ul><ul><li>Q3: How fast can we restore the service? </li></ul><ul><li>Q4: Can we prevent the recurrence of the failure? </li></ul>
  3. 3. Effective Operations Approach For Managing Service Failures Service Failure Occurrence Failure Detection Root-cause Isolation Service Restoration Service Failure Closure Data Collection Service Impact & Affected customers Repair Procedures Observation & Usage Analysis
  4. 4. Proactive Approach To Managing NGN Services <ul><li>Shorten the time to detect a failure </li></ul><ul><ul><li>Leverage all available data feeds </li></ul></ul><ul><ul><li>Real-time quality degradation detection </li></ul></ul><ul><li>Determine impact on services and customers </li></ul><ul><ul><li>Linking customers to the services </li></ul></ul><ul><ul><li>Prioritize operations repair activities </li></ul></ul><ul><li>Optimized service management life-cycle </li></ul><ul><ul><li>Integrated SQM and fault management </li></ul></ul><ul><ul><li>Monitor business operational aspects </li></ul></ul>
  5. 5. From Chaos To Structured Service Management Network Resource Management Resource Service Model Network Resource Network Domain Regional Area Service Application Service Control Customers Service Quality Management Fault Detection Service Impact Service Usage Traffic Analysis Assurance Solution Signaling Application NG Network Legacy Network Probes Probes SIP CDRs SIP CDRs SNMP SNMP Diameter Legacy
  6. 6. VOIP Carrier Example: End-To-End Service Monitoring View Access CDRs/IPDRs SIP Control PSTN Access Voice Probes Voice Probes Transport Probes Core Infrastructure Application & QoE Transport Signaling <ul><li>ASR </li></ul><ul><li>NER </li></ul><ul><li>Call Completion Rate </li></ul><ul><li>Call Setup/Post-dial Delay </li></ul><ul><li>Call Termination Cause </li></ul><ul><li>Packet Loss </li></ul><ul><li>Packet One-way/Round Trip Delay </li></ul><ul><li>Packet Jitter </li></ul><ul><li>Packet Burst </li></ul><ul><li>R-Factor/MOS </li></ul><ul><li>Echo </li></ul><ul><li>Attenuation </li></ul><ul><li>Codec Mismatch </li></ul><ul><li>Device/Domain Availability </li></ul><ul><li>Network Congestion </li></ul><ul><li>Route Flapping </li></ul><ul><li>CPU/Memory Usage </li></ul>
  7. 7. Being Proactive Starts with Minimizing Time to Detect Customer Complaint Network Trap Event Degradated Quality Event Service Impact Event Time to Detect a Failure Proactivity
  8. 8. Best Practice for Service Quality Monitoring <ul><li>Calculation of KPI and KQIs </li></ul><ul><ul><li>Derived from: Network devices, Active probing, Passive probing, CDR/IPDRs, TTs </li></ul></ul><ul><ul><li>KQI aggregation based on user-defied rule sets </li></ul></ul><ul><li>Applying threshold rules </li></ul><ul><ul><li>From simple thresholds to advanced spikes and trends monitoring </li></ul></ul><ul><li>Quality of service alerts generation </li></ul><ul><li>Drill down to isolate root cause </li></ul>
  9. 9. Example: End-To-End SIP Performance Indicators Session initiation Session Progress Session Termination <ul><li>Registration Request Delay (RRD) </li></ul><ul><li>Session Request Delay (SRD) </li></ul>Post-Dial Delay (PDD) <ul><li>Average hops/ INVITE (AHI) </li></ul><ul><li>Session Duration Time (SDT) </li></ul>Call Hold-Time (CHT) <ul><li>Session Disconnect Delay (SDD) </li></ul><ul><li>Session Disconnect Failure (SDF) </li></ul>Cut-off Calls <ul><li>Session Establishment Rate (SER) </li></ul><ul><li>Answer Seizure Rate (ASR) </li></ul><ul><li>Network Efficiency Rate (NER) </li></ul><ul><li>Session Establishment Efficiency Rate (SEER) </li></ul><ul><li>Ineffective Session Attempts (ISA) </li></ul><ul><li>Session Defects/ million (SPM) </li></ul><ul><li>Session Completion Rate (SCR) </li></ul><ul><li>Session Success Rate (SSR) </li></ul>Call Completion Rate <ul><li>Call Success Rate (CSR) </li></ul>
  10. 10. Service Quality Degradation Detection Monthly usage of MobileTV service > 1.15*Usage in prior month Monthly calls on plan SummerTime <150% monthly calls to a destination during last 6 months Monthly average service availability SLO < 99.95% Session establishment success ratio < 95% Monthly average SMS Delivery time > 1.3* Monthly average delivery time last month Hourly short-duration calls >30% Total calls Monthly routed traffic to internet peering X <30% Total internet traffic First page success rate < 65% Increase of 30% in critical service alarms from last period Drop rate (period ‘n’) > 1.2*Drop rate (period ‘n-1’) Monitor Threshold Crossing Comparative Monitoring Monitor for Spikes Monitor for Trends Network Operations Center Engineering Marketing Management
  11. 11. Example: Applying Thresholds In 3G UMTS Network <ul><li>Multi-Severity Threshold </li></ul><ul><ul><li>MAS ASR initial threshold set to < 97.5%. </li></ul></ul><ul><ul><li>Escalation steps of -2.5%. </li></ul></ul><ul><li>Service Quality Monitoring Solution Example: </li></ul>Data Source KPI TrafficGaurd Condition KQI TrafficGaurd Condition V ideo S ervice CDR UTRAN Cell RAB Establishment Successes (CS64) Comparative Condition: Current RAB Successes <97% Current RAB Attempts RNC Video RAB Success Rate: RAB Successes *100 /Current RAB Attempts Spike Condition: Daily RNC Video RAB success Rate +/- 20% (when RNC Video RAB Attempts > 100) CDR UTRAN Cell RAB Establishment Attempts (CS64)
  12. 12. Better Understanding Your Service Impact <ul><li>Impact Engine </li></ul><ul><ul><li>Determine service impact based on affected resources and business logic </li></ul></ul><ul><li>Availability Engine </li></ul><ul><ul><li>Measure of the probability that a service is available at any given time </li></ul></ul><ul><li>Service Alarms </li></ul><ul><ul><li>Report on service events as part of the fault correlation process </li></ul></ul><ul><li>What-if Scenarios </li></ul><ul><ul><li>Simulate operational activities to better understand their impact </li></ul></ul>Impact Engine Availability Engine Service Alarm What-if Scenarios
  13. 13. Visualizing Service Model <ul><li>Defining relationship between service components </li></ul><ul><li>Determining alarm filtering and service impact rules </li></ul><ul><li>Linking customers to services </li></ul><ul><li>Visualizing the root cause of the service </li></ul><ul><li>Intuitive navigation to supporting assurance applications </li></ul>Network Resource Regional Domain Customers’ Groups MMS Service Monitoring Resource
  14. 14. Determine Impact On Services And Customers
  15. 15. End-to-End Service Assurance Summary <ul><li>Service Assurance for NGN must conform with the following guidelines to provide added value: </li></ul><ul><ul><li>Maximize Proactively </li></ul></ul><ul><ul><li>Optimize fault resolution cycles </li></ul></ul><ul><ul><li>Calculate end-to-end metrics </li></ul></ul><ul><ul><li>Evaluate the impact of events from a customer/service perspective </li></ul></ul>
  16. 16. This presentation, its content, materials ideas and know-how are the property of TTI Team Telecom International Ltd. (and its affiliates together “ TTI Telecom ” ) and are designated as confidential. This presentation may not be reproduced, altered or distributed in whole or in part, without the express written permission of TTI   Telecom.   The content is provided “ As Is&quot;, and in no way imply warranty or commitment . This is a Legal Notice and may not be removed or altered in any way . Copyright © 2007 TTI Team Telecom International, Ltd. Thank you [email_address] www.tti-telecom.com

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