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Scaling Advanced
VoIP Telecom
Services
Amir Peles
Chief Technology Officer
October 2010
Slide 2
Agenda
 VoIP Deployment Scaling Challenges
 SIP Delivery Solutions
 Summary
Slide 3
Agenda
 VoIP Deployment Scaling Challenges
 SIP Delivery Solutions
 Summary
SIP Architecture - IMS Lite / IMS Architecture
Session Border
Controllers
VoIP Gateways
Soft Switches
IMS x-CSCF
SIP App. Servers
Call Centers
VOIP Access / Service Enablement – The ADC Need
• The peering, trunking, and consumer access points are
governed by SBC-s, P/I-CSCF-s, Soft Switches and media
gateways, all of which have limited scaling
– New calls per second < 100
– Concurrent sessions < 10,000
• Main Scaling Challenges
– Application state synchronization for billing and policing
– Failures and performance bottlenecks
– Provisioning OPEX and ineffective over subscription
Slide 5
Deployment Scenarios – Application/Service Tier
• SIP applications include
– Traditional VoIP
– Conferencing / Video Conferencing
– Voicemail / IVR
– Presence
– Messaging
– Call Centers
– Interactive E-learning
– And many more…
• Additional Scaling Challenges:
– Concurrent streaming sessions
– Bandwidth and processing requirements for new Codecs and Video
standards
– Sophisticated application logic and call flows
Slide 6
Interactive Gaming
Collaboration–Virtual
Whiteboarding
Video
C
onferencing
Instant
M
essaging
Presence
Distance Learning
MixedMedia
Communications
Personal Mobility
VoIP
SIP
IP
Convergence
Application / Service Tier – The ADC Need
The overall scale challenge:
• Scale-as-you-Grow
• protecting previous investment and guaranteeing service
quality
Slide 7
Slide 8
Agenda
 VoIP Deployment Scaling Challenges
 SIP Delivery Solutions
 Summary
TDM-like scaling
• “TDM over IP” Architecture
– Scaling in the traditional TDM architecture was normally
achieved by statically configuring sets of clients to a specific
server
– Complex Static Provisioning
– Inefficient Over-Subscription models
• Inefficient and not agile
Slide 9
IP Scaling Advantages vs. TDM
• IP Architecture – Dynamic Load Balancing
– The same utilization advantages afforded by the flexibility of IP
packets switching (vs., circuit switching) can be incorporated
into the scaling model
– Servers are all configured identically and clustered into a pool,
abstracted as a service available to all clients
• New servers are added dynamically on-demand
• Scaling is linear and isolated from the provisioning process
– Servers may have different capabilities
• Server selection identifies the required service for each
transaction for optimal server selection
• Huge cost saving – up to 50% over the TDM-like model
Slide 10
Load Balancing Concepts – Cluster Management
• Load Distribution
– New client sessions or messages are distributed by the ADC amongst
cluster service through a selection of distribution algorithm:
• Weighted round robin – Short transactions (messaging / presence / DNS)
• Least number of users / calls – Video transactions
• Lowest CPU utilization – Complex application transaction
• Transaction based switching
– The ADC inspects the message content to apply the distribution across
multiple server pools according to:
• Codec type
• Device User-Agent
• Content URI
Slide 11
SIP Server Farms
SIP: INVITESIP: INVITE
Load Balancing Concepts – Cluster Distribution
• Persistent transactions
– Some applications require that the same server will handle multiple sessions
that form a transaction
• Multiple callers for a Video conferencing service
• User’s registration and incoming/outgoing transactions
• User’s portal access and media transactions
– Persistency Types include
• Call-ID
• Call-ID + Conference-ID
• User ID
• Source IP
• Any L7 Parameter
Slide 12
Call-ID = 1223023@a.com
Server 1
Invite SIP: bob@b.com
From : alice@a.com
To: bob@b.com
Call-ID: 1223023@a.com
SIP Proxies
Load Balancing Concepts – Cluster Distribution
• Persistent transactions
– Some applications require that the same server will handle multiple sessions
that form a transaction
• Multiple callers for a Video conferencing service
• User’s registration and incoming/outgoing transactions
• User’s portal access and media transactions
– Persistency Types include
• Call-ID
• Call-ID + Conference-ID
• User ID
• Source IP
• Any L7 Parameter
Slide 13
Call-ID = 1223023@a.com
Server 1
BYE
From : alice@a.com
To: bob@b.com
Call-ID: 1223023@a.com
SIP Proxies
Advanced Scaling Features
• Transport Conversion
– TCP  TLS  UDP / IPv4 IPv6
• Call Admission Control
– Centralized CAC
– Burst handling and Priority call guarantee
• Header Manipulation
– Normalizing message format
– SIP and SDP headers
• Geographic Load Balancing
– Disaster Recovery – uninterrupted Failover and Failback
– Scaling to a Multi-Site service
Slide 14
Slide 15
Agenda
 VoIP Deployment Scaling Challenges
 SIP Delivery Solutions
 Summary
Summary
Adapt your architecture to advanced IP delivery models
• Achieve Linear Scale in your cost model
• Protect your investment
• Simplify application logic
• Reduce your time-to-market
Slide 16
Thank You !

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FutureComm 2010: Scaling Advanced VoIP Telecom Services

  • 1. Scaling Advanced VoIP Telecom Services Amir Peles Chief Technology Officer October 2010
  • 2. Slide 2 Agenda  VoIP Deployment Scaling Challenges  SIP Delivery Solutions  Summary
  • 3. Slide 3 Agenda  VoIP Deployment Scaling Challenges  SIP Delivery Solutions  Summary
  • 4. SIP Architecture - IMS Lite / IMS Architecture Session Border Controllers VoIP Gateways Soft Switches IMS x-CSCF SIP App. Servers Call Centers
  • 5. VOIP Access / Service Enablement – The ADC Need • The peering, trunking, and consumer access points are governed by SBC-s, P/I-CSCF-s, Soft Switches and media gateways, all of which have limited scaling – New calls per second < 100 – Concurrent sessions < 10,000 • Main Scaling Challenges – Application state synchronization for billing and policing – Failures and performance bottlenecks – Provisioning OPEX and ineffective over subscription Slide 5
  • 6. Deployment Scenarios – Application/Service Tier • SIP applications include – Traditional VoIP – Conferencing / Video Conferencing – Voicemail / IVR – Presence – Messaging – Call Centers – Interactive E-learning – And many more… • Additional Scaling Challenges: – Concurrent streaming sessions – Bandwidth and processing requirements for new Codecs and Video standards – Sophisticated application logic and call flows Slide 6 Interactive Gaming Collaboration–Virtual Whiteboarding Video C onferencing Instant M essaging Presence Distance Learning MixedMedia Communications Personal Mobility VoIP SIP IP Convergence
  • 7. Application / Service Tier – The ADC Need The overall scale challenge: • Scale-as-you-Grow • protecting previous investment and guaranteeing service quality Slide 7
  • 8. Slide 8 Agenda  VoIP Deployment Scaling Challenges  SIP Delivery Solutions  Summary
  • 9. TDM-like scaling • “TDM over IP” Architecture – Scaling in the traditional TDM architecture was normally achieved by statically configuring sets of clients to a specific server – Complex Static Provisioning – Inefficient Over-Subscription models • Inefficient and not agile Slide 9
  • 10. IP Scaling Advantages vs. TDM • IP Architecture – Dynamic Load Balancing – The same utilization advantages afforded by the flexibility of IP packets switching (vs., circuit switching) can be incorporated into the scaling model – Servers are all configured identically and clustered into a pool, abstracted as a service available to all clients • New servers are added dynamically on-demand • Scaling is linear and isolated from the provisioning process – Servers may have different capabilities • Server selection identifies the required service for each transaction for optimal server selection • Huge cost saving – up to 50% over the TDM-like model Slide 10
  • 11. Load Balancing Concepts – Cluster Management • Load Distribution – New client sessions or messages are distributed by the ADC amongst cluster service through a selection of distribution algorithm: • Weighted round robin – Short transactions (messaging / presence / DNS) • Least number of users / calls – Video transactions • Lowest CPU utilization – Complex application transaction • Transaction based switching – The ADC inspects the message content to apply the distribution across multiple server pools according to: • Codec type • Device User-Agent • Content URI Slide 11 SIP Server Farms SIP: INVITESIP: INVITE
  • 12. Load Balancing Concepts – Cluster Distribution • Persistent transactions – Some applications require that the same server will handle multiple sessions that form a transaction • Multiple callers for a Video conferencing service • User’s registration and incoming/outgoing transactions • User’s portal access and media transactions – Persistency Types include • Call-ID • Call-ID + Conference-ID • User ID • Source IP • Any L7 Parameter Slide 12 Call-ID = 1223023@a.com Server 1 Invite SIP: bob@b.com From : alice@a.com To: bob@b.com Call-ID: 1223023@a.com SIP Proxies
  • 13. Load Balancing Concepts – Cluster Distribution • Persistent transactions – Some applications require that the same server will handle multiple sessions that form a transaction • Multiple callers for a Video conferencing service • User’s registration and incoming/outgoing transactions • User’s portal access and media transactions – Persistency Types include • Call-ID • Call-ID + Conference-ID • User ID • Source IP • Any L7 Parameter Slide 13 Call-ID = 1223023@a.com Server 1 BYE From : alice@a.com To: bob@b.com Call-ID: 1223023@a.com SIP Proxies
  • 14. Advanced Scaling Features • Transport Conversion – TCP  TLS  UDP / IPv4 IPv6 • Call Admission Control – Centralized CAC – Burst handling and Priority call guarantee • Header Manipulation – Normalizing message format – SIP and SDP headers • Geographic Load Balancing – Disaster Recovery – uninterrupted Failover and Failback – Scaling to a Multi-Site service Slide 14
  • 15. Slide 15 Agenda  VoIP Deployment Scaling Challenges  SIP Delivery Solutions  Summary
  • 16. Summary Adapt your architecture to advanced IP delivery models • Achieve Linear Scale in your cost model • Protect your investment • Simplify application logic • Reduce your time-to-market Slide 16