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Semi-synchronous (or semi-sync ) replication is a method that was created by EMC for use in their SRDF (Symmetrix Replicated Data Facility) product, to bridge the gap between synchronous replication, with its performance problems, and asynchronous replication. SRDF does not support a form of asynchronous replication that maintains write ordering, so semi-synchronous gives their users another option besides synchronous replication. Semi-sync is designed to improve the performance of SRDF in configurations where regular synchronous mode s latency is too great to maintain reasonable application performance. Semi-sync reduces synchronous replication s performance impact by having the local disk array acknowledge the completion of a write to the application before propagating the data to the remote disk array, eliminating the latency caused by data transmission. The benefit of semi-sync is dependent on the application, the workload, and the speed at which replicated data makes the round-trip between the primary and secondary nodes. EMC says that there is a benefit only if it takes longer for writes to reach the local Symmetrix than it does for them to cross the SRDF link. On the downside, though, EMC acknowledges in their documentation that the use of semi-sync may result in inconsistent data at the remote site if there is a crash at the primary site, which, of course, is the primary purpose of using the software. EMC also says that under some circumstances the use of semi-sync mode with applications that do not defer their writes is not recommended.



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From a networking perspective, it comes as no surprise that protocol-speci c mechanisms and end-to-end congestion control algorithms operating on small time scales and at the different layers in the hierarchical structure of modern data networks give rise to structural properties that are drastically different from the largetime scaling behavior, which has been shown earlier to be mainly due to global user and=or session characteristics Since these networking mechanisms determine largely the actual ow of packets across the networks, they are likely to cause the traf c to exhibit pronounced local variations and irregularities which, per se, cannot be expected to have any obvious connection to the self-similar behavior of the traf c over large time scales.





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These folks like to comment. They love to opine and their opinion is served to all, seen by many, and savored by some. Known peer in uencers are the closest to both the purchasing decision and to the consumer. They are typically family members, or part of the consumer s inner circle. They in uence the purchasing decision most directly and have to live with the results of their family member or friend s decision as well. This group is very valuable to a decision maker because their opinion is imbued with all the background knowledge of acquaintance. If Theo thinks this thermos is thoroughbred . . . If Sally says this software is super . . . If Gary agrees this garden hose it great . . . If Frank feels this furniture is faultless . . . Various people have varying degrees of clout. Sadly, the metrics in play today are all about secondary reach, with a couple of exceptions.

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The final type of replication goes by two different names. Under periodic, or batch-style, replication, data is saved up, and from time to time is replicated in a batch, all at once. Write ordering is not maintained, so during a replication cycle, the data that has reached the destination is not consistent. This means that if, during the replication cycle, the master system fails, the data on the destination system is not usable. The advantage to this style of replication is that it gives system and network administrators some control over when the network will be impacted by the additional load that replication introduces. Another important disadvantage to periodic replication is that the data on the destination system is very much out-of-date. If the data is updated via replication every 4 hours, for example, then on average, the data on the destination is 2 hours out-of-date. If an emergency causes a switchover from master to destination, as much as 4 hours of committed work can be lost. For most critical applications, this significant loss of data is considered unacceptable, and as a result, periodic replication is not considered acceptable for disaster recovery situations. Periodic replication is generally much more useful as a way of getting data to other systems for backups, data mining, and other noncritical uses.

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