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The downside to asynchronous replication is that, depending on the rate of incoming data on pratt, the data on whitney may be some number of writes behind pratt For most applications, this is an acceptable trade-off in return for the improved performance of asynchronous replication The logic here is that a failure that results in switching over to the remote host is an extremely rare event, one that may only occur once every few years If a handful of the most recently applied transactions (the only ones that should ever be affected) do not get replicated to the remote side and are lost in one of these extremely rare events, that is a worthwhile trade-off to protect all of the rest of the data, and while maintaining acceptable levels of application performance If properly implemented, asynchronous replication is acceptable even over extremely long distances.

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We are aware of at least one implementation of asynchronous replication where data is created in Atlanta, Georgia (in the southern United States), and replicated to Munich, Germany By all reports, performance is quite acceptable Another downside to asynchronous replication is that it puts a nearly constant load on the network connecting the sites (network load is also an issue with synchronous replication) While that is all right for many enterprises, some may find that unacceptable and may wish, instead, to confine the traffic to a particular time of day, say, late at night, or simply to have more control over when the network will have this traffic flowing across..

Bianalytical Chemistry, by Susan R. Mikkelsen and Eduardo Corton ISBN 0-471-54447-7 Copyright # 2004 John Wiley & Sons, Inc.

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load generated by data distributors, such as messaging products that are used in publish and subscribe mode (sending data from a few distribution points to multiple receivers) and multicast traffic that won t appear in broadcast packet counts. Again, a network analyzer or sniffer is your best approach to locating the head end of this problem. Denial-of-service attacks. Rather than filling up the network with packets, a denial-of-service attack fills up a network service s input queue with bogus or invalid requests. It s possible to have a denial-of-service attack that doesn t absorb all available network bandwidth but that still brings a network service to its knees.

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You don t want to experience false positives and perform complete network failovers simply to recover from a period of peak load or a spike in traffic caused by a poorly configured client Network traffic nightmares tend to repeat; that is, if you bring down one network with a problem, the same hosts and same configuration on a redundant network are likely to bring that formerly clean network to a halt as well We offer some guidelines for design and operation of networks here, as a precursor to redundancy design guidelines Typically, network operations is a separate entity in the data center, so it s a good idea to review these big rules around load management with all of the operations players, just to be sure infrastructure hiccups don t bring down a distributed service Know your baselines.

KD value of the unknown is used with this plot to obtain the molecular weight of the unknown. This technique is illustrated with the protein hemagglutinin. A series of 11 gels were prepared using %C 2, with %T varying from 4 to 9. The Rf values determined following electrophoresis and staining were used to construct the Ferguson plot shown in Figure 10.1. The y intercept of this plot yields a net charge for hemagglutinin of 3.13 and a KD value of 0.13379. Table 10.1 shows the KD values obtained on the same gels for seven standards of known molecular weight. The calibration curve used to determine the molecular weight of hemagglutinin is then constructed, and the molecular weight of hemagglutinin is determined by interpolation of this curve, shown in Figure 10.2. Note that this calibration curve exhibits a linear region up to molecular weights that result in very little migration in the polyacrylamide gels. Data obtained for very high molecular weight protein standards tend to lack precision, due to the dif culty

Figure 3.32. Example of acknowledgment/recycling screen ( Axway, 2006)

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