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It is instructive to consider the architectural consequences of the repository design we discuss in Section 1445 The design uses a single repository address for each IOR As a consequence, failure of the repository prevents clients from binding to objects in all servers in the repository's location domain This makes the repository a single point of failure State is distributed between the implementation repository and servers so that it is unlikely to pile up in any one place The repository knows only about the POA names used by servers and knows nothing about the individual objects implemented by each server Conversely, each server need know only about its own objects and a single implementation repository This design can support systems that scale to very large numbers of objects without performance problems The design in Section 1445 is only one of many possible designs Each design has its own advantages and disadvantages, and each involves trade-offs among object migration, reliability, performance, and scalability Note that most ORBs do not provide all the options we mention here Instead, an ORB's repository typically offers only a small number of options that are tailored to the ORB's intended environment 1451 Small Location Domains We can make location domains smaller by placing fewer machines in each location domain In the extreme case, every machine in the system runs a separate implementation repository that is responsible only for servers on the local machine This option provides high performance because the server and the repository can communicate via the system bus instead of over the network It also improves resilience against failure If a repository crashes, it affects only servers running on the local machine; clients using servers on other machines can still bind to objects in these servers 1452 Large Location Domains If we make large location domains that contain many machines each, performance will suffer somewhat because servers must access the repository via the network, which is slower than local communication In addition, the repository can become a bottleneck during binding if it is responsible for very many servers On the other hand, large location domains offer maximum freedom for server migration: we can move a server from one machine to another as long as we do not cross a location domain boundary Server migration is impossible if we run separate repositories on every machine because after a.

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The only difference for a child domain is that the rst three lines are changed to the following:

.

Of course we don t tell everything;1 we ask when getting information from values and collections, or when using a factory to create new objects Occasionally, we also ask objects about their state when searching or ltering, but we still want to maintain expressiveness and avoid train wrecks For example (to continue with the metaphor), if we naively wanted to spread reserved seats out across the whole of a train, we might start with something like:

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server is moved, existing references would point at the old repository at the previous server location instead of the new one 1453 Redundant Implementation Repositories To improve resilience to failure, an ORB can run multiple redundant repositories at different locations and create multiple profiles for persistent IORs Each profile contains the address of one of the redundant repositories This approach improves fault tolerance because a single IOR can be bound by more than one repository However, performance suffers for two reasons For one thing, IORs get larger the more information they carry, so the overhead of using and transmitting object references becomes larger Second, CORBA does not specify in which order a client should use the different profiles in an IOR, so a naive client could always try the profiles in order If the repository addressed by the first profile is down, such a client will always fail trying to bind via the first profile and then succeed via the second profile A more intelligent client could monitor the status of different destinations in a multiprofile IOR and avoid using a non-functional address for some period of time before trying that address again Such a client would make more efficient use of the multiple profiles in an IOR and would improve binding performance On the downside, the more intelligent the client-side run time, the more CPU cycles and memory it consumes, and that has a negative influence on performance 1454 Granularity of Object Migration The repository design in Section 1445 strikes a compromise between object migration and scalability With this design, we can migrate a subset of the objects in a server without breaking existing references For example, the CCS server uses separate POAs for the controller, thermometers, and thermostats We can move all thermometers to a server on a different machine in the same location domain by changing the repository registration for the thermometer POA to a new machine (If we do this, the target machine still requires access to the instrument control protocol used to communicate with thermometers For servers that store persistent object state in a database, the target machine must be able to access the database; otherwise, the moved objects are cut off from their persistent state) The basic rule governing granularity of migration is that whenever an object moves, the implementation repository must know about that move so that it can return the correct LOCATION_FORWARD replies to clients For the design in Section 1445, this means that if an object moves, all other objects using the same POA must move with it[4].

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