1. Distributed Video Streaming Over Internet Thinh PQ Nguyen and Avideh Zakhor Berkeley, CA, USA Presented By Sam

2. Agenda  Motivations  Assumptions  System overview  Protocol  Rate allocation algorithm  Packet partition algorithm  Simulations  Comments  Conclusion

3. Motivation  Many existing schemes assume a single fixed route between the receiver and the sender

4. Motivation  Make content available at multiple sources  Smooth video delivery  No single sender can support the required bit rate

5. Assumptions 1.Available bandwidth from all the senders to the receiver exceeds the required video bit rate. 2Mbps 0.8Mbps 0.4Mbps

6. Assumptions 2.The routes from a client to the senders do not share the same congestion link

7. Assumptions 3.Broadband connection. Last hop physical bandwidth limitation (dial-up modem) is of little use in this situation

8. Contributions Overview  Protocol that allows simultaneous streaming of video from multiple mirror sites to a single client, with smooth sending rates so as to reduce jitter  An algorithm that runs on the receiver to specify the sending rate for each sender in order to minimize the total loss rate  A distributed algorithm that runs on each sender to partition packets so as to minimize the probability of packet arriving late

9. Scenario  Receiver-driven 1.Each sender estimates and sends its round trip time to the receiver 2.Receiver receive it and estimates sender’s loss rates for each sender. 3.Based on 2 factors, receiver calculates and decide each sender’s sending rates 4.Receiver sends an identical control packet to each sender. 5.Sender will determine the next packet to be sent based on the control packet Protocol Receiver algorithm Sender algorithm

10. Bandwidth Estimation   TCP Friendly rate control algorithm (TFRC) B : The current available TCP-friendly bandwidth between each sender and the receiver (Upper bound for the TCP-friendly sending rate) Trto : TCP timeout R : estimated round-trip time in seconds (using moving average of RRT over a fixed interval) P : estimated loss rate (number of lost packets / total number of packets sedting over a fixed interval) S : TCP segment size in bytes

11. Rate Allocation Algorithm   Receiver computes the optimal sending rate for each sender based on its loss rate and estimated available bandwidth. During the interval (t, t + ∆)F(t) total number of loss packet L(I, t) estimated loss ratesS(I, t) estimated sending rates Sreq(t) is the required bit rate for the encoded video B(I, t) TCP-friendly estimated bandwidth

12. Rate Allocation Algorithm 1.Sort the senders according to their estimated loss rates from lowest to highest. 2.Assign each sender its available bandwidth, beginning with the ones with lowest loss rates and moving to the ones with higher loss rates, until the sum of their available bandwidths exceeds the bit rate of the encoded video.

13. Systolic window   If B(I, t) changes rapidly, S(I, t) needs to be recomputed more frequently, and more control packets have to be sent from the receiver to all the senders, resulting in inefficiencies. Systolic Window  Periodic compute B(I, t) in a fixed interval Ф  If B(I, t) > S(I, t) + w, count + 1  If B(I, t) < S(I, t) - w, count – 1, otherwise count remains  If count > γOR count γOR count < -γ, rate allocation algorithm is run

14. Packet Partition Algorithm  Each Sender receive control packet from the receiver through a reliable protocol in the following format: Assume 5 Senders and entire copies are resided in each senders Dx : Estimated delay from sender x to receiver (1 byte field) Sx : Sending rate in packets/second for sender x (2 bytes field) Sync : Sequence number that determines the next packet to send

15. Packet Partition Algorithm  If the reference time Tk’, the estimated arrival time of the kth packet sent by sender j is n j,k σ(j)+2D(j) n j,k : Number of packets already sent since k’ to packet k σ(j): Sending interval between packets for sender j D(j) : Estimated delay from the sender j to the receiver  A k (j, k) = T k ’(k) – [n j,k σ(j)+2D(j)] T k ’(k) Playback time for kth packet with respect to Tk’ Time difference between arrival and playback time of kth packet If A k (j, k) > 0, kth packet is on time, otherwise kth packet is late Therefore, maximizeing A k (j, k) to minimize the probability that the kth packet is late

16. Packet Partition Algorithm  Only the sender who maximizes A k’ (j, k) will be assigned to send kth packet  A k’ (j, k) for each packet k for itself and all other senders  Each sender computes A k’ (j, k) for each packet k for itself and all other senders A k (j, k) = T k ’(k) – [n j,k σ(j)+2D(j)]  D(j) in the D field  σ(j)=P/S(j) (P : packet size)  T k ’(k) not affect the value

17. Packet Partition Algorithm Ak(j, k) = T k ’(k) – [n j,k σ(j)+2D(j)]  n j,k = 0 for all senders.  +1 after each sending data

18. Packet Partition Algorithm  Synchronization problem occurs when control packet is late/loss Solution  5 identical control packets are sent each time  If none of the control packets is acknowledged with 2 RTT from a particular sender, another 5 identical control packets are sent until acknowledged  Probability that sender does not receive in 2n RTT is p 5n  If p is 0.1, then 2n RTT failure probability is 10 -6

19. Choice of Synchronization Sequence Number Control packet arrival time varies between senders A k (j, k) = T k’ (k) – [n j,k σ(j)+2D(j)] Choose min. k’, resulting large buffer overhead

20. Simulation Delay for sender 1 40msw0.1*S(i) Delay for sender 2 50msФ100ms Packet size 500bytesγ20

21. Simulations T = 0 to 2s. Starts sending control packets T = 25s, senders send using the algorithms T = 200s, 25 of 100 TCP sources from 1 stop sending T = 400s, 10 new TCP sources start and stop at random

22. Comparison

23. Comments  Simple/Good flow for distributed video streaming  Further work should be done to tackle the assumption Further work should be done to tackle the assumption Further work should be done to tackle the assumption  Not involve scheduling  Large buffer overhead in the receiver

24. Conclusion  Framework for Simultaneously streaming video from multiple senders to a single receiver  Using TCP-friendly protocol  Propose a new protocol, rate allocation algorithm and packet partition algorithm