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Per-VC framing has been derived from Stop-and-Go Queueing described in Golestani [9 11]. The primary enhancements are as follows. 1. Framing is induced on a per-VC basis instead of a per-output-link basis; see Figs. 19.2 and 19.3. Per-VC framing eliminates the need for correcting for phase mismatches between incoming frames and outgoing frames at a multiplexer and signi cantly simpli es its implementation. As we shall see in Section 19.3, per-VC framing also reduces the maximum queueing delay by half and cuts buffer requirements by one-third at a switch, while retaining the same delay-jitter bound per-link framing. 2. Once cells from a frame become active (i.e., not dormant, waiting for their next frame time), they compete with active cells from other VCs for the output link. The algorithms that decide on which active cells to transmit and when, and which cells to drop, are necessitated by the need to meet heterogeneous



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We believe that when there is a choice between replicated data clusters and shared data clusters (SDCs), SDCs are always preferable The differences and advantages of shared data clusters are quite clear RDCs require the extra step of keeping the data in sync between the two clusters at all times, and in real time Keeping real-time synchronization between two systems data sets requires synchronous replication (where the data must be sent to the remote system as part of each write to the local system) Synchronous replication cannot help but introduce I/O overhead, slowing down all the production work As we ve discussed, performance is an important element of availability Slow performance decreases availability The performance impact is generally a bigger problem with hardware-based replication than it is with software-based replication (We ll defend this statement in 18.





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Fig. 19.2 Arriving frames and departing frames when framing is induced in a per-link basis. The phase mismatch between arriving and departing frames is corrected through delay circuits.

Fig. 19.3 Arriving and departing frames for VC i when framing is induced on a per-VC basis. Frames of different VCs need not be synchronized.

) What s more, since RDCs require additional processing steps, additional components, and a functioning LAN or WAN over which the replicated data is sent, RDCs add complexity when compared to an SDC, as well as more elements that can fail, thus violating Key HA Design Principle #1..

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cell-loss bounds and heterogeneous delay-jitter bounds simultaneously. They also provide a rewall across connections (protection from misbehaving sources). These algorithms are new. In Golestani [9], the objective was to support no-loss transmission with heterogeneous delay-jitter bounds. The latter were integral multiples of the smallest jitter bound supported. Golestani showed that a preemptive priority scheduler with highest priority to the smallest jitter class could meet all jitter bounds if suf cient capacity was available. Golestani [11] also presented a solution that allowed for cell losses for a single jitter class ( xed delay-jitter bound). In the general case of meeting heterogeneous delay-jitter bounds with potential cell losses, however, the scheduler needs to follow (i) an earliest duedate principle and (ii) a cell-drop policy that takes into account current observations on dropped-cells per VC, and heterogeneous cell-loss bounds across VCs. See Section 19.2.3. 3. The original Stop-and-Go Queueing requirements that a traf c stream declare its r; T -smooth1 parameter is dropped. This trades off higher utilization for a lossless network. For a long-memory input stream, the average rate over a small interval, T , can be signi cantly higher (or lower) that its overall average rate, so r would need to be the peak rate for lossless transmission and would result in signi cantly low utilizations. In the current proposal, cell losses, while allowed, will be reduced through statistical multiplexing across virtual circuits and controlled through equivalent bandwidth computations. 4. No-loss transmission can be guaranteed in the proposed architecture if desired; see Section 19.4.3. However, the emphasis is on ef cient statistical multiplexing that can also guarantee speci ed cell-loss bounds.

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The rest of this chapter is organized as follows. Section 19.2 presents the proposed architecture. It includes (1) per-VC framing with active cell-discard and (2) cell dispatching to meet the heterogeneous delay-jitter and cell-loss guarantees for heterogeneous VCs (with heterogeneous marginal distributions and autocorrelation structures). Section 19.3 presents maximum-delay bound, delay-jitter bound, and buffer requirements for per-VC framing and compares the results with per-link framing. Section 19.4 addresses upper bounds on equivalent bandwidth needed to meet heterogeneous delay-jitter requirements and heterogeneous cell-loss probability bounds, presents numerical and simulation examples, and shows that loss-free transmission may be achieved for desired VCs. Section 19.5 presents related work. Section 19.6 presents our conclusions.

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