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by the log files. The process that picks apart the log files and reconstructs the transaction is commonly called a transfer manager, and it can write to one or more target machines that have a local replay manager acting as a database application. Replication is typically done asynchronously; that is, the log files are scanned by the manager after the transaction has already been applied to the primary system, and without any locking or checkpointing to ensure that the transfer manager and the primary application coordinate updates to all databases. As a result, it s possible for the transfer manager to be several transactions behind the primary application database, slowed by the time required to walk the logs and apply transactions to the secondary machines. As with log replay, there are design considerations for database replication managers:



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When viewed over large enough time scales, all we observe is the total workload M 0 (in bytes or packets) that is sent over the network during the connection's lifetime and, for simplicity, we assume in general that the connections traf c rate Xc m is constant and that the connection's duration is unity However, when zooming in onto ner time scales, we observe that a certain fraction of the total workload was sent during the rst half of the connection's lifetime and the rest in the second half Continuing inductively, we.





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The relationship between insert rate, update rate, and the log transfer manager s ability to extract transactions must be clearly understood. Under high insert and update conditions, does the transfer manager run into contention for access to the log files The longest delay you ll see under extreme conditions must be known. One way to accomplish this is to watch the number of transactions that go into the log transfer manager queue. If you can only replicate 10 transactions a second but have insert peaks of 50 transactions a second, you ll push 40 transactions a second off into the transfer manager. You may end up with a delay of a few minutes while waiting for the replicated databases to absorb these load peaks. Some database replication managers can fail completely once the load exceeds a certain level. These solutions are not appropriate for largescale operations with heavy-duty levels of transactions. Speak to your vendor and determine their rated limits for transaction throughput. What happens when the primary database fails Does the transfer manager fail as well, requiring applications to do the ask then restart recovery outlined previously If the transfer manager continues to apply updates, how can a client application determine when it s acceptable to connect to another copy of the database When the primary returns to service, what happens to the log transfer manager The secondary database (now acting as the primary) has probably reinserted all of the transactions that were entered into the queue in the transfer manager at the time of the primary failure. Should the transfer manager flush its queue Should it remain quiescent until restarted by the database administrator

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nd that the work-load emitted by the connection during a time interval of length 2 n (which corresponds to a certain level of aggregation m) is of the form Xc m : M n M n 1 . . . M 1 M 0 ; 20:32

Up to this point we ve concentrated on what makes networks break, and how you might detect these failures. In this section, we describe architectures and designs for network redundancy, ranging from multiple networks to multiple paths through multiple networks. Some of these scenarios may seem farfetched or impractical, or you may feel that you can condense multiple failure modes into a single problem area with a well-defined recourse. Remember our key principles: You need to spend money, but be sure that you spend it the right way. When you multiply the number of nodes on a network by the cost of adding redundancy to all of the infrastructure they touch, and add in the cost of managing those points on the network, the total cost of providing network redundancy can grow large. We walk through the basic connectivity options and some more advanced features to fully describe the building blocks, and then look at how to ruggedize network services on top of the resilient network infrastructure.

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