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Randomization and restarts Randomization can be an invaluable ally in local search It is typically used in two ways: to pick a random initial solution, for instance a random graph partition; and to choose a local move when several are available When there are many local optima, randomization is a way of making sure that there is at least some probability of getting to the right one The local search can then be repeated several times, with a different random seed on each invocation, and the best solution returned If the probability of reaching a good local optimum on any given run is p, then within O(1/p) runs such a solution is likely to be found (recall Exercise 134) Figure 910 shows a small instance of graph partitioning, along with the search space of solutions There are a total of 8 = 70 possible states, but since each of them has an identical 4 twin in which the left and right sides of the cut are ipped, in effect there are just 35 solutions In the gure, these are organized into seven groups for readability There are ve local optima, of which four are bad, with cost 2, and one is good, with cost 0 If local search is started at a random solution, and at each step a random neighbor of lower cost is selected, then the search is at most four times as likely to wind up in a bad solution than a good one Thus only a small handful of repetitions is needed Simulated annealing In the example of Figure 910, each run of local search has a reasonable chance of nding the global optimum This isn t always true As the problem size grows, the ratio of bad to good local optima often increases, sometimes to the point of being exponentially large In such cases, simply repeating the local search a few times is ineffective A different avenue of attack is to occasionally allow moves that actually increase the cost, in the hope that they will pull the search out of dead ends This would be very useful at the bad local optima of Figure 910, for instance The method of simulated annealing rede nes the local search by introducing the notion of a temperature T let s be any starting solution 283.

Based on these metrics and requirements, there can be two options for moving data to the Database Machine The first option involves shutting down all the activity on the current source database, performing a data dump of the source database into flat files, and then loading the dump files into the Oracle database on the Database Machine This method incurs downtime how much will depend on how fast the data can move from the source to the destination system The second option is to replicate the data, in real time or in near real-time, from the current source database to the Oracle Database and essentially run a parallel production system on the Database Machine The replication process can be performed using software tools or custom scripts Migrating using this option incurs zero to minimal downtime, and it allows you to run parallel production environments, which are quite useful for testing and for phased migrations The migration strategy can also involve combining the two approaches, with each approach working on a different set of data, based on the method that works best for each set However, both the options discussed previously have a common step the initial data migration step In the first migration option, the initial data migration would also be the final data migration In the second option involving replication, the initial load will be the method used to instantiate the destination system with the initial copy of the source database before starting the incremental migration process

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DBV factor assignment offers the ability to support the CLIENT_IDENTIFIER technique and the requirements of Oracle application contexts with the following benefits: The ability to assign the information is controlled by a DBV rule set rather than being an open API In other words, nothing prevents a database session in SQL*Plus from using DBMS_SESSIONSET_IDENTIFIER to masquerade the session s activity as another end user from the perspective of the audit trail The use of a DBV rule set provides your security administrator with a mechanism to control the sessions and the conditions that will allow the assignment The level of trust is specific to your application environment The approach requires less overhead and maintenance because the application developer does not need to create a new application context or supporting PL/SQL package These database objects are already provided by DBV factors The assignment can leverage DBV factor validation to ensure that the data assigned meets the criteria required by the application

repeat randomly choose a solution s in the neighborhood of s if = cost(s ) cost(s) is negative: replace s by s else: replace s by s with probability e /T If T is zero, this is identical to our previous local search But if T is large, then moves that increase the cost are occasionally accepted What value of T should be used

The initial data migration process will consist of two main steps The first step is to extract the source database into a temporary staging area, and the second step is to load from the staging area to the Database Machine In order to accelerate the overall data migration process, the extract and the load steps can be parallelized, as long as the steps work on different data sets and excessive parallelism does not throttle down the system or network resources

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Figure 910 The search space for a graph with eight nodes The space contains 35 solutions, which have been partitioned into seven groups for clarity An example of each is shown There are ve local optima

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