Title: Multicast instant channel change in IPTV systems
1Multicast instant channel change in IPTV systems
2Outline
- Introduction
- Instant Channel Change
- Conclusion
- Experimental Result
3INTRODUCTION
4Objective
- Traditional Instant Channel Change (ICC)
- Having a separate unicast for every user change
channel. - We propose a multicast-based approach
- Using a secondary channel change stream
associated with each channel. - Carrying only I-frame and associated audio.
- The drawback is the 50 additional capacity
required.
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6Network Architecture
7Network Architecture
- Content Source D-Server
- Content is buffered at Distribution Server
(D-Server) in the Video Hub Office (VHO) - A separate D-Server could be used for every
channel - All D-Server share the link to the VHO
- Metro Network
- Connects the VHO to a number of Central Offices
(CO) - Is usually an optical network with significant
capacity
8INSTANT CHANNEL CHANGE
9Current Approach (Unicast ICC)
1. Join
TV Client
D-Server
Multicast Router
10Current Approach (Unicast ICC)
1. Join
TV Client
D-Server
2. Unicast a stream with a higher bit rate
Multicast Router
11Current Approach (Unicast ICC)
3. Start display
1. Join
TV Client
D-Server
2. Unicast a stream with a higher bit rate
Multicast Router
12Current Approach (Unicast ICC)
3. Start display
1. Join
TV Client
D-Server
2. Unicast a stream with a higher bit rate
4. Join multicast
Multicast Router
13Current Approach (Unicast ICC)
3. Start display
1. Join
TV Client
D-Server
2. Unicast a stream with a higher bit rate
4. Join multicast
Multicast Router
5a. Multicast stream
14Current Approach (Unicast ICC)
3. Start display
1. Join
TV Client
D-Server
2. Unicast a stream with a higher bit rate
4. Join multicast
5b. Display full quality video
Multicast Router
5a. Multicast stream
15Drawback
- The number of concurrent ICC requests is small.
- When there are a number of concurrent ICC
requests - substantial load on the network.
- service provider have to deploy additional
servers.
16Multicast ICC (Motivation)
- Unicasting the same stream for a given channel is
wasteful. - It is sufficient for the user to briefly (for 1-2
seconds) see a lower quality. - There are bandwidth constraint on the links from
the DSLAM to CO. - To limit the number of concurrent streams
delivered to a particular DSLAM.
17Multicast ICC
- Secondary lower-bandwidth channel change stream
corresponding to each channel at the D-Server - This stream will consists of I-frame only
- Each channel will add another IP multicast group
called the Secondary ICC Multicast Group
18Multicast ICC
1. Join
TV Client
Multicast Replicator
19Multicast ICC
1. Join
TV Client
Multicast Replicator
2a. I-frame stream
20Multicast ICC
1. Join
TV Client
Multicast Replicator
2a. I-frame stream
2b. Primary multicast stream
21Multicast ICC
1. Join
TV Client
Multicast Replicator
3. Display the frame from I-frame stream
2a. I-frame stream
2b. Primary multicast stream
22Multicast ICC
1. Join
TV Client
Multicast Replicator
3. Display the frame from I-frame stream 4.
Buffering the primary stream
2a. I-frame stream
2b. Primary multicast stream
23Multicast ICC
1. Join
TV Client
Multicast Replicator
3. Display the frame from I-frame stream 4.
Buffering the primary stream 5. Play the full
quality video
2a. I-frame stream
2b. Primary multicast stream
24CONCLUSION
25- Requires approximately 50 additional capacity
for each channel. - The requirement is relatively independent of, and
does NOT grow with, the user population request. - Does not take into account the command processing
delay time?
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27EXPERIMENT
28Tool Objective
- Build and NS-2 simulation of the metro/access
network and the VHO servers. - The link between the CO and the DSLAM and the
D-Server I/O were the bottlenecks. - To evaluate the unicast and multicast schemes in
terms of - Bandwidth consumption
- Display latency
- Channel switch latency
- D-Server I/O
29NS-2 Settings
- With NS-2 simulation constraints, we set
- The number of channels at the DSLAM to 10.
- The link capacity of DSLAM ?CO to 200 Mbps.
- The simulation was run for 150 seconds.
30Channel Change Requests
- The empirical distribution of the channel change
requests across all channels initiated from all
users.
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34Popular Channel D-Server I/O
- The channel change requests for the most popular
channel at a D-Server collected. - The key bottleneck we examine here is the
D-Server I/O. - The popularity of channel is defined by the
largest number of users changes.
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38Q A