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The cell dispatcher implements: A pseudo-earliest-due-date priority discipline for scheduling active cells with the help of the channel_image[] data-structure A priority cell-drop mechanism that determines which active cells to drop in case channel_image[] is full It does so based on (1) the ratio Sj Ej =^ j , E and (2) the minimum capacities Ci to be provided to each VC per frame The Ci are calculated by the equivalent bandwidth unit Cell-drop scheduling based on maximum Sj has been shown to be optimal in bandwidth utilization among stationary, space-conserving loss-scheduling mechanisms by Yang and Pan [24] In conjunction with the pseudo-earliest-due-date component, it attempts also to provide a minimum number of lost deadlines The minimal capacity component, Ci , has two functions: It provides a rewall for VCs from connections j, with low Sj .



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If John is followed by 50,000 people who have no followers of their own, he is in a world of hurt compared with Jane, who is followed by 10,000 people who are each followed by 1,000 others. The guarantee of creating an opportunity to see for 50,000 pales next to the opportunity to generate an opportunity to see for 10 million. Even if you assume that only a fraction of them retweet say 10 percent you ve still reached 1.1 million. More important, that extra million received a retweet, which is more highly valued by the individual. If you boast about your new car, I absorb the fact of the launch. But if Jane retweets your message, it implies that she thinks it s worthy of my attention, rather than just being a promotion from the manufacturer.

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The latter can result from long periods of small transmissions followed by a large surge of arrivals Note that this is possible for well-behaved long-memory traf c that is not necessarily misbehaving or malicious It enables computation of tighter equivalent bandwidths In Alternative 2 in Section 19412, Eq (1913), the tighter upper-bound computation assumes that an amount Ci will be available for VC i if it needs it..

ACKNOWLEDGMENTS The authors wish to thank Jamal Golestani of Bell Laboratories and Biswanath Mukherjee of the University of California at Davis for their suggestions.

An interesting difference between the SAN-based cluster in Figure 17.8 and the SCSI-based one in Figure 17.7 is that in the SAN-based cluster, the hosts are all identically attached to the storage. In the SCSI-based cluster, one node, the 1 node in N-to-1, has many more connections to the network, and, so, must be bigger. It has to have the backplane slots to permit making all of these connections.

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Fig. 2.7 Eliminating mean level shifts. Top: Ethernet byte data aggregated over 10 s intervals. A marked, but smooth, level shift seems to occur around 1050 seconds. Bottom: Logscale diagram of the byte data aggregated over 10 ms intervals. With N 2, estimates to the left and the right of the shift, and over the whole series, are consistent, showing that smooth level shifts can effectively be eliminated in practice.

As we described previously, SCSI-based N-to-1 clusters have a serious limitation. They must incur extra downtime after the cause of a failover has been repaired, so that the migrated services can be moved back to their original host. The added overhead required to configure all nodes to be able to see all the disks and to run all of the critical applications is huge, adding SCSI cables and a lot of complexity. In a SAN-based cluster, all the nodes can see all of the disks, so there should not be a need to migrate applications back to their original homes. If we take this observation to its logical extreme, we develop a new type of cluster configuration that we call N-plus-1, shown in Figure 17.9 as 6-plus-1.

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