Traffic Management for the Available Bit Rate (ABR) Service in ...

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8.17.2 VBR Video modeling There have been several attempts to model compressed video, see references [13, 33, 21] and references therein. Beran et al [13] show that long-range dependence is an inherent characteristic of compressed VBR video. But, they do not consider MPEG-2 data. Garrett and Willinger [33] show that a combination of distributions is needed to model VBR video. Heyman and Lakshman [21] argue that simple markov chain models are su cient for tra c engineering purposes even though the frame size distribution may exhibit long-range dependence. The video tra c on the network may be a ected further by the multiplexing, renegotiation schemes, feedback schemes and the service category used. Examples of renegotiation, feedback schemes and best-e ort video delivery are found in the literature, [38, 65, 23]. We believe that a general model of video tra c on the ATM network is yet to be discovered. In this paper, we are interested in the performance of ABR carrying TCP connections when a ected by a long-range dependent, highly variable VBR background. We hence need a model for the video background. We have attempted to design the model to resemble the MPEG-2 Transport Stream. There are three parameters in the model: the compressed video frame size, the inter-MPCR interval lengths, and the rates in these inter-MPCR intervals. In our model, the inter-MPCR intervals are uniformly distributed and the rates in the inter- MPCR intervals are long-range dependent. In real products, the rates are chosen depending upon the bu er occupancy at the encoder, which in turn depends upon the frame sizes of the latest set of frames generated. Further, the range of inter-MPCR intervals we generate follows implementation standards. We believe that this models 317
the MPEG-2 Transport Stream, and still incorporates the long-range dependence property in the video streams. The e ect of this VBR model on ABR is to introduce high variation in ABR capacity. As we shall see, the ERICA+ algorithm deals with the variation in ABR capacity and successfully bounds the maximum ABR queues, while maintaining high link utilization. 8.17.3 Modeling MPEG-2 Transport Streams over VBR We model a \video source" as consisting of a transport stream generator, also called encoder (E) and a network element (NE). The encoder produces a Transport Stream as shown in Figure 8.13 and discussed in section 8.17.1 . In our model, the Transport Stream consists of a single program stream. The network element encapsulates the transport packets into AAL5 PDUs and then fragments them into cells. The output of the network element (NE)goestoaleakybucket which restricts the peak rate to 15 Mbps. This leaky bucket function can alternatively be done in the encoder, E (which does not send transport packets beyond a peak rate). Figure 8.16: Multiplexing MPEG-2 Single Program Transport Streams (SPTSs) over VBR Several (N) such video sources are multiplexed to form the VBR tra c going into the network as shown in Figure 8.16. Each encoder generates MPCRs uniformly 318
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Tra c Management for the Available
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ABSTRACT With the merger of telecom
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Tra c Management for the Available
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To my family iv
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VITA April 30, 1971 :::::::::::::::
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2.7 Switch Behavior . . . . . . . .
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5.8 Proof: Fairness Algorithm Impro
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8.15 Factors A ecting Bu ering Requ
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Bibliography . . . . . . . . . . .
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8.12 Maximum Queues for Satellite N
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5.1 Transmitted cell rate (instanta
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6.13 Results foratwo sources con gu
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7.11 E ect of UILI on Medium Bursts
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C.3 Flow Chart of Bi-Directional Co
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header information which limits the
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switches since a standard does not
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congestion control deals with the c
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hand side of the equation is the su
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analyses which are used to validate
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CHAPTER 2 THE ABR TRAFFIC MANAGEMEN
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time (RTT). As we explain later, AB
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feedback from nearby switches to re
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Note that in-rate and out-of-rate d
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Data cells also have an Explicit Fo
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opportunity the source may nd that
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Figure 2.7: Scheduling of forward R
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as the timeout value) which reduces
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It has been incorrectly believed th
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NI CI Action 0 0 ACR Min(ER, ACR +
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Source Rule 13: Sources can optiona
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Switch Rule 1: This rule speci es t
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Observe that the ABR tra c manageme
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complex method like per-VC queuing
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graphs have a steady state with con
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Figure 3.2: Operating point between
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The following example illustrates t
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mention this concept of fairness fo
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control problem was also simpler. S
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of such an occurrence is expected t
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y giving only one feedback per meas
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CHAPTER 4 SURVEY OF ATM SWITCH CONG
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The adaptive FCVC algorithm [63] co
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np. Thus, long path VCs have fewer
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networks like ATM can have complete
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scheme followed by a discussion of
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exibility of decoupling the enforce
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4.6.1 Key Techniques In EPRCA, the
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If the mean ACR is not a good estim
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is the ratio of the input rate to t
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which shares the link equally as al
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proportional to the the unused ABR
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The key technique in the scheme is
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the bandwidth allocations to satis
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4.10 DMRCA scheme The Dynamic Max R
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on its CCR. Further MAX times out i
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other words, a di erent set of para
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A combination of several ideas in a
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4.13 SP-EPRCA scheme The SP-EPRCA s
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RTD and shuts o the source (for sta
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4.14.1 Common Drawbacks Though the
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The ATM Tra c Management standard a
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5.1.1 Control-Cell Format The contr
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The last two elds are used in the b
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Figure 5.3: Flow chart for updating
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LAF in cell Max(LAF in cell, z) The
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the time of departure (instant mark
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the steady state. The system operat
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5.2.3 Use Measured Rather Than Decl
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said about the maximum queue length
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The key problem with some unipolar
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Figure 5.6: Space time diagram show
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As noted, these heuristics do not g
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Transmitted Cell Rate ABR Queue Len
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4. The RM cell contains a timestamp
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1. The source o ered average cell r
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Transmitted Cell Rate Link Utilizat
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Figure 5.17: The parking lot fairne
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Figure 5.19: Network con guration w
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5.8 Proof: Fairness Algorithm Impro
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Region 2: y s and x s and U(1 + ) x
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eing divided into eight non-overlap
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Proof for Region 2 Triangular regio
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have: and y 0 = y(1 ; ) z x + y 0 =
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The OSU scheme is, therefore, incom
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workloads, where input load and cap
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(a) Regions used to prove Claim C1
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6.1 The Basic ERICA Algorithm The s
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A ow chart of the basic algorithm i
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efore competing sources can receive
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that the latest CCR information is
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the CCR value may not be an accurat
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(Target Utilization) (Link Bandwidt
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ABR Capacity Input Rate Overload Fa
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of arithmetic averaging used above.
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level of control. These parameters
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6.14 ERICA+: Queue Length as a Seco
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6.16 ERICA+: Maintain a \Pocket" of
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hence, introduces a new parameter,
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Figure 6.4: Linear functions for ER
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and Figure 6.6: The queue control f
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small averaging intervals. If the a
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The maximum value of T 0 also depen
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6.22 Performance Evaluation of the
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espectively. The target delay T 0 i
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6.22.4 Fairness Figure 6.9: Parking
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st link, VC 15 is limited to a thro
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From the gures, it is clear that ER
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counts the bursty source as active
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6.23 Summary of the ERICA and ERICA
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(a) Transmitted Cell Rate (c) Link
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(a) Transmitted Cell Rate (basic ER
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RM cells. In this chapter, we devot
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low. This tradeo was discovered and
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in the speci cation. b) ACR shall n
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7.1.6 December 1995 Proposals There
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Figure 7.2: Multiplicative vsAdditi
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is never triggered. However, the PR
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simulation results of bursty source
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1. The time-based proposal also ind
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The switch maintains a local alloca
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PNI = f0, 1g : f1 ) No rule 5b, 0 )
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after reaching the goal. The time-b
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Figure 7.8: Closed-Loop Bursty Tra
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The algorithm measures the load and
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Medium Bursts Medium bursts are exp
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count-based technique may be insu c
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Figure 7.13: An event trace illustr
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CHAPTER 8 SUPPORTING INTERNET APPLI
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u ering which does not depend upon
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4 make it to the destination are ar
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Figure 8.3: At the ATM layer, the T
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issues and e ect of bursty applicat
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Page 295 and 296: 8.8 Performance Metrics We measure
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Page 299 and 300: Figure 8.7(b) shows the rates (ACRs
Page 301 and 302: Window Size in bytes vfive-tcp/opti
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Page 305 and 306: 8.13 Summary of TCP/IP performance
Page 307 and 308: Feedback delay: Twice the delay fro
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Page 311 and 312: state only after the switch algorit
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Page 317 and 318: QB = Link bandwidth (RT T ; T ) and
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Page 321 and 322: Part b): When ABR load goes away, t
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Page 331 and 332: problems. During the ON time, the V
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Page 339 and 340: 8.17 E ect of Long-Range Dependent
Page 341 and 342: terminology) are called \Presentati
Page 343: The key point is that the MPEG-2 ra
Page 347 and 348: 8.17.4 Observations on the Long-Ran
Page 349 and 350: For the video sources, we choose me
Page 351 and 352: Video Sources ABR Metrics # Mean St
Page 353 and 354: However, with modi cations to ERICA
Page 355 and 356: Video Sources ABR Metrics # Avg Src
Page 357 and 358: Video Sources ABR Metrics # Avg Src
Page 359 and 360: On the other hand, if the applicati
Page 361 and 362: of managing bu ers, queueing, sched
Page 363 and 364: hence control the total load on the
Page 365 and 366: call such a switch a \VS/VD switch"
Page 367 and 368: Figure 9.2: Per-class queues in a n
Page 369 and 370: which arises is where the rate calc
Page 371 and 372: 9.2 The ERICA Switch Scheme: Renota
Page 373 and 374: The unknowns in the above equations
Page 375 and 376: Figure 9.9: Two methods to measure
Page 377 and 378: 9.4 VS/VD Switch Design Options 9.4
Page 379 and 380: # VC Rate VC Input Rate Input Rate
Page 381 and 382: 8 uses source rate measurement, we
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Page 385 and 386: sources in chapter 6. We expect the
Page 387 and 388: con guration mentioned in the table
Page 389 and 390: can be very di erent for di erent V
Page 391 and 392: CHAPTER 10 IMPLEMENTATION ISSUES At
Page 393 and 394: With an enhanced UBR service, appli
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2. Some switch schemes have a proce
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4. Large legacy switches have a pro
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section 9. Further, WAN switches wo
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CHAPTER 11 SUMMARY AND FUTURE WORK
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good transient performance. Since r
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variant background tra c conditions
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APPENDIX A SOURCE, DESTINATION AND
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7. After following behaviors #5 and
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set the QL and SN elds to zero, pre
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d) VS/VD Control: The switch may se
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5. Setting of other parameters at V
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4. The averaging interval timer exp
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1. Initialization: Target Cell Rate
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THEN IF (OCR In Cell Fair Share Rat
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APPENDIX C ERICA SWITCH ALGORITHM:
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Number Active VCs In Last Interval
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IF (NOT(Averaging VCs Option)) THEN
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IF (Load Factor = In nity) THEN Loa
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; (Contribution[VC] = Decay Factor)
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Name Explanation Flow Chart (FC) or
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Figure C.2: Flow Chart for Achievin
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Figure C.4: Flow Chart of averaging
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Figure C.6: Flow chart of averaging
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C.3 Pseudocode for VS/VD Design Opt
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(* | Bottleneck rate of next loop |
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Follow SESRules 1-4 (see appendix A
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CRM - Missing RM-cell Count DIR bit
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TUB -Target Utilization Band Trm -
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[12] J. Bennett and G. Tom Des Jard
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[38] M. Grossglauser, S.Keshav, and
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[64] H. T. Kung. Flow Controlled Vi
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