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service time also yields Weibull-like buffer asymptotics although the input process is now short-range dependent Hence, the same asymptotic buffer behavior can be induced by two vastly different input streams, one long-range dependent and the other short-range dependent! To make matters worse, if the pmf G were Pareto instead of Weibull, the input process would now be long-range dependent, in fact asymptotically self-similar [28], but the buffer distribution would now exhibit Pareto-like asymptotics, in sharp contrast with the results of Norros [25] To reiterate the main conclusion of Parulekar and Makowski [28], the value of the Hurst parameter as the sole indicator of long-range dependence (via asymptotic selfsimilarity) is at best questionable as it does not characterize buffer asymptotics by itself.



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Archives are similar to, though somewhat less sophisticated than, HSM. To archive a file, the file is written to tape (or some other offline medium) and deleted from the filesystem completely. Some external mechanism must be employed to maintain the location of archived files. Otherwise, there is a very real risk that the file could get lost. In some environments, users are allowed and even encouraged to maintain their own archive tapes. In others, the administrators maintain archives.





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Furthermore, buffer sizing cannot be determined adequately by appealing solely to the short- versus long-range dependence characterization of the input model used, be it of the M =G=I type or otherwise Of course, this is not too surprising since long-range dependence (and its close cousin, second-order selfsimilarity) is determined by second-order properties of the input process, while asymptotics of the form (91) invoke much ner probabilistic properties, which are embedded here in the sequence fv*; t 1; 2; g The niteness of E s2 (which t characterizes the SRD nature of the M =G=I input process) is obviously a poor marker for predicting the behavior of this sequence To close, we note that the diverse queueing behavior demonstrated here is tied to the tail behavior of s, which determines the correlation structure of M=G=I inputs.

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Incremental backups, as we discussed, are a very efficient way to back up file systems, since they require copying far less data to tape then fulls. Data that have not changed since the last full need not be backed up. Unfortunately, cumulative incremental backups can grow in size over time, until their size approaches that of a full. The number of tapes required to restore a set of differential incremental backups can also grow over time until the sheer number becomes overwhelming. The remedy to these problems is the same: Take full backups from time to time. What if you never had to take full backups of your production servers again You can with synthetic full backups. In a synthetic full backup model, you keep a full copy of your filesystem on another node. You take a full backup of your system (curly) once, and restore it on a separate system (shemp). Then, you take nightly differential incremental backups of curly and restore them onto shemp. Then, you take a full backup of the filesystem from shemp. If something happens to curly, you can replace him with shemp. Shemp s data should be identical to what was on curly, and since all the data is on a single tape, the time it takes to complete the restore will be greatly reduced, as compared to restoring a full and a bunch of incrementals.

This clearly illustrates the tremendous impact that the correlation structure of an input stream can have on the corresponding queueing performance given that the M =G=I inputs all have Poisson marginals! One more data point for the need of a cautious approach in modeling network traf c when time dependencies are either observed or suspected..

We summarize various facts concerning the busy server process of a discrete-time M =G=I system; details are available in Parulekar [27]. 9.2.1 The Model

For additional protection, you may choose to keep shemp at a different site from curly, although that s not necessary if you send shemp s backup tapes offsite. (No need to keep an on-site copy, since shemp itself fills that role quite admirably.) This model is certainly not for everyone, since it requires a great deal of extra hardware (system, disks, and tape drives), but it is a very effective way to reduce backup windows and restore times, a very elusive combination.

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