Streaming Video and TCP-Friendly Congestion Control
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1 Streaming Video and TCP-Friendly Congestion Control Sugih Jamin Department of EECS University of Michigan Joint work with: Zhiheng Wang (UofM), Sujata Banerjee (HP Labs)
2 Video Application on the Internet Adaptive playback streaming: Sender sends data i at time t i Receiver receives at time t i +, = propagation delay + queueing delay To smooth out variable queueing delay, receiver buffers some amount of data (i to i + k, k > 0) before playing back data i By the time receiver is ready to play back data i + k, hopefully it would have arrived Otherwise, increase buffering (hence adaptive )
3 Video Streaming Two ways to send data: bulk transfer: transfer before playback streaming: transfer while playback Why Streaming? shorter playback start time smaller receiver buffer requirement smaller interaction delay requirement
4 Expectations vs. Reality Streaming media service requirements: resource intensive smooth (low variance) throughput Internet service characteristics: shared resource variable bandwidth unpredictable network latency lossy channel
5 Streaming Video over the Internet Effect of transient changes in available bandwidth: empty buffer on playback playback pause on rebuffering larger buffer size increases start time (consider live interactive sessions) Applicable to other streaming data: scientific visualization, massively multiplayer gaming dynamic object, web page download
6 Case Study: Windows Media Player Application characteristics: WM Server sends traffic at a constant bit rate WMP client pauses video playback until sufficient packets have been buffered (rebuffering) WMP client asks for retransmission to recover lost packet. If lost packet cannot be recovered, the whole frame is considered lost WM Server reduces sending rate when lower available bandwidth is detected
7 Streaming Video Quality no queueing delay sufficient bandwidth video quality case 1 P3 P2 P1 P3 P2 P1 large queueing delay not sufficient bandwidth video quality case 2 P3 P2 P1 P2 P 1 P2 P1 P 3 packet loss some queueing delay bandwidth changes T case 3 P3 P2 P1 P3 P2 P1 video quality RTT/2
8 Measuring Streaming Video Quality Metrics: server transmission rate (service rate) client rebuffering probability client rebuffering duration client frame loss
9 Improving User Perceived Quality User less annoyed with lower but consistent quality than continual rebuffering Changes in available bandwidth cause changes in rebuffering probability and duration Streaming video needs low loss rate and smooth available bandwidth to reduce user annoyance Need: smooth congestion control mechanism
10 TCP-Friendliness TCP is the standard transport protocol TCP does congestion control by linear probing for available bandwidth and multiplicative decrease on congestion detection (packet loss) A congestion control protocol is TCP-friendly if, in steady state, its bandwidth utilization is no more than required by TCP under similar circumstances [Floyd et al., 2000] TCP-friendliness in a proposed protocol ensures compatibility with TCP
11 TCP-Friendly Rate Control (TFRC) Goals: to provide streaming media with steady throughput to be TCP-friendly Instead of reacting to individual losses, tries to satisfy the TCP throughput function over time: T = R 2p 3 + t RT O(3 s 3p 8 )p(1 + 32p2 ) T : TCP throughput; s: packet size; p: loss rate R: path RTT; t RT O : re-transmit timeout
12 Terminologies Application Application Data Rate Bandwidth Capacity OS Calculated Allowed Rate Fair Share OS Networks Self-clocked Rate Sending Rate Throughput Networks
13 Terminologies (contd) Data rate: the rate at which an application generates data Sending Rate: the rate at which a connection sends data Self-clocked rate: upper bound on the sending rate calculated by TFRC Fair share: TCP s throughput during bulk data transfer Fair share load: ratio between the sending rate and the fair share Throughput: the incoming traffic rate measured at the receiver
14 Does TFRC Provide Smoother Throughput? Experiment setup: S(0) D(0) S(1) 1.5Mbps/50ms D(1) R1 R2.. S(M-1) D(M-1) Data source: CBR-traffic Background traffic o long/short-lived TCP flows with infinite amount of data o flash crowd: large number of short TCP bursts o long-range dependent traffic: a number of Pareto distributed ON/OFF flows
15 Not that Smooth TCP s Self-clocked Rate TFRC s Self-clocked Rate TFRC s Sending Rate 250 KBps Time (sec) Data rate: 50KBps Background traffic: 1 long-lived TCP
16 Worse with Bursty Background Traffic Congestion Rate Sending Rate 40 KBps Time (sec) Data rate: 20KBps Background traffic: 1 long-lived TCP + 5 ON/OFF flows
17 Internet Experiments A sample path between MI and CA Self-clocked Rate Sending Rate KBps Data rate: 40 KBps RTT: 67 msec Loss event rate: 0.24% Round ID
18 MARC s Design Motivation TFRC congestion control is memoryless, whereas: streaming media is well-behaved when there is no congestion, streaming applications cannot always utilize their fair share fully but during congestion, TFRC applies the same rate reduction principle to streaming media traffic as to bulk data transfer traffic Media Aware Rate Control (MARC) proposition: Well-behaved streaming applications should be allowed to reduce their sending rate more slowly during congestion
19 Media-Aware Rate Control (MARC) Define token value C to keep track of a connection s fair share utilization C = βc + (T W send )I C: token β: decay factor C : previous token value T : previous calculated self-clocked rate W send : previous sending rate I: feedback interval We use β = 0.9
20 Media-Aware Rate Control (MARC) Our experiments use δ = 0.1
21 MARC is Effective TCP s Self-clocked Rate TFRC s Self-clocked Rate TFRC s Sending Rate Self-clocked Rate Sending Rate KBps KBps Time (sec) Time (sec) TFRC MARC Data rate: 50KBps Background traffic: 1 long-lived TCP
22 MARC is TCP-Friendly Sending Rate (KBps) MARC-RED TFRC-RED 10 MARC-DropTail TFRC-DropTail 0 Fair Share Data Rate (KBps) Date rate: 10 CBR sources Background traffic: 10 long-lived TCP
23 Reaction Time to Persistent Congestion Congestion at 50th sec, RTT: 80 msec Fair share before congestion: 140 KBps Self-clocked Rate (KBps) Time (sec) MARC TFRC x = Self-clocked Rate (KBps) Time (sec) MARC TFRC x = Self-clocked Rate (KBps) (a) Data rate = 20 KBps Time (sec) MARC TFRC x = Self-clocked Rate (KBps) (b) Data rate = 40 KBps Time (sec) MARC TFRC x = (c) Data rate = 60 KBps (d) Data rate = 80 KBps Without token, MARC behaves exactly like TFRC.
24 Token Dynamics Sending Rate (KBps) Sending Rate Self-clocked Rate Flash-crowd Token Token (KByte) Time (sec) 1 long-lived TCP and 1 MARC flows Data rate: 100 KBps Flash-crowd (800 short-lived TCP) starts at the 50th second, lasts for 5 seconds
25 MARC Improves User-Perceived Quality Probability density function TCP TFRC MARC Number of rebuffering events Data rate: 44KBps Background traffic: 1 long-lived TCP + 1 ON/OFF flow
26 Future Works Layered video adaptation with MARC Analyzing MARC Streaming media over end-host multicast o multiple receivers - congestion control on end-host multicast o multiple sources - Integrated Flow Control
Media-Aware Rate Control
Media-Aware Rate Control Zhiheng Wang zhihengw@eecs.umich.edu University of Michigan Ann Arbor, MI 4819 Sujata Banerjee sujata@hpl.hp.com Hewlett-Packard Laboratories Palo Alto, CA 9434 Sugih Jamin jamin@eecs.umich.edu
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