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End-To-End Service Monitoring For Converged Services Danny Itzigsohn Director of Solution Engineering TTI Telecom © 2007
Four Basic Questions Concerning Service Assurance ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
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
Proactive Approach To Managing NGN Services ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
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
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 ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
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
Best Practice for Service Quality Monitoring ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Example: End-To-End  SIP Performance Indicators Session initiation Session Progress Session Termination ,[object Object],[object Object],Post-Dial Delay (PDD) ,[object Object],[object Object],Call Hold-Time (CHT) ,[object Object],[object Object],Cut-off Calls ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],Call Completion Rate  ,[object Object]
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
Example: Applying Thresholds In 3G UMTS Network ,[object Object],[object Object],[object Object],[object Object],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)
Better Understanding Your Service Impact ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],Impact Engine Availability Engine Service Alarm What-if Scenarios
Visualizing Service Model ,[object Object],[object Object],[object Object],[object Object],[object Object],Network  Resource Regional Domain Customers’ Groups MMS Service Monitoring Resource
Determine Impact On Services  And Customers
End-to-End Service Assurance Summary ,[object Object],[object Object],[object Object],[object Object],[object Object]
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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End To End Service Monitoring For Converged Services

  • 1. End-To-End Service Monitoring For Converged Services Danny Itzigsohn Director of Solution Engineering TTI Telecom © 2007
  • 2.
  • 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.
  • 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.
  • 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.
  • 9.
  • 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.
  • 12.
  • 13.
  • 14. Determine Impact On Services And Customers
  • 15.
  • 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