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This implementation freedom benefits application developers by enabling ORB vendors to compete with one another At the same time, however, it makes it difficult for application developers to make important implementation decisions, such as how many POAs their applications should have, how many CORBA objects to create under each POA, whether to use a single servant per object or to make a single servant incarnate multiple objects, and how in general to distribute their objects across multiple servers Being able to control, or at least being able to know, the multithreading strategies of the underlying ORB and POA enables developers to make more informed architectural, design, implementation, and deployment decisions, thus improving the overall scalability and performance of their distributed systems Fortunately, it is possible for the OMG to extend the set of ThreadPolicy values to address this shortcoming by adding new policy values that identify specific threading models, such as THREAD_PER_SERVANT or THREAD_POOL Such policy values would provide applications with explicit control over the assignment of requests to threads As of this writing, the POA specification is still very new, however, so new policy values such as these are not likely to be added until the CORBA community gains additional practical experience with how to best use the POA For the time being, you must ask your ORB vendor if you want to find out how your ORB implements the ORB_CTRL_MODEL policy 2143 Servant Multithreading Issues Because a POA having the ORB_CTRL_MODEL value is permitted to dispatch multiple requests concurrently to the same servant, the presence of multithreading has a strong influence on how you must design and implement your servants To perform requests, almost all servants access either their own data members or state variables shared between objects Access to all such state must be carefully serialized and synchronized among threads so as to avoid corrupted data that causes method implementations to return garbage results A serious portability problem exists for the development of multithreaded applications: threading primitives are not portable between platforms Although standard programming interfaces for multithreading exist notably the POSIX 10034a pthreads API [2] not all of them are supported across all platforms Some systems provide this interface or slight variations of it, but others, such as Windows, do not support it at all Fortunately, ORB vendors typically ship threads portability libraries with C++ interfaces as part of their products Freely available software, such as the ADAPTIVE Communication Environment (ACE) Toolkit [33], also provides portable C++ wrappers for platformspecific multithreading primitives One of the most difficult issues is how to safely remove servants When multiple threads allow multiple requests to be present simultaneously within a single servant, it is a complex task to make sure that o other threads are accessing the servant when it is time to destroy it Fortunately, the POA provides several guarantees that help with this.

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problem We investigate this issue along with multithreaded servant development in more detail in Section 216 2144 Issues with Third-Party Libraries CORBA s primarily an integration technology, so it is no surprise that many applications use third-party and system libraries Unfortunately, you may find yourself in the position of having to use a third-party library or component that is not thread-safe You can address this situation in several ways Work with the library supplier to see whether a thread-safe version of the library is available Assuming that the vendor has implemented it to be truly thread-safe, this is by far your best option Implement your own thread-safe wrappers for the library, and make sure that you call the library only through the wrappers and never directly Although this can be tedious, the work can be worthwhile if the library is reused for other projects Such wrappers can be hard to maintain, however, if the underlying library changes frequently Isolate all invocations of the library in a single thread One straightforward way to do this is to develop an IDL interface for the library and provide access to it via a CORBA object By registering the object's servant with a SINGLE_THREAD_MODEL POA, you can easily guarantee that all invocations of the library are serialized With this approach, you must take care never to advertise the object reference outside your server process; you probably do not want your single-threaded object wrapper to be invoked from code outside your process If the library is to be used heavily, wrapping it with an object may not be practical depending on the dispatching overhead of your ORB In that case, you may have to resort to using lower-level threading primitives and queues to transfer work items from other threads that require library invocations Sometimes libraries that were not intended for use in multithreaded environments cannot be linked with your threaded applications Depending on the platform, compiler, and linker, single-threaded and multithreaded libraries may be unable to coexist because of different compile-time or link-time options They may also fail to work together if each one depends on other libraries that themselves are mutually exclusive Usually, the only way to fix this problem is to use a different library altogether If the library you are trying to use with your ORB has its own event loop, as many GUI libraries do, you must integrate its event loop with the ORB's event loop In the next section we discuss ways of accomplishing this 2145 ORB Event Handling Multithreading Issues.

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O'Reilly Network Safari Bookshelf Jini Specifications, The, Second Edition Notification is taken over by the store and forward agent This agent will now consult the list of entities that have registered interest in the occurrence of an event and send a notification to those entities Note that these might not be the same as the objects that registered interest in the event; the object that should receive the event notification is specified during the event interest registration The store and forward agent might be able to make use of etwork level multicast (assuming that the RemoteEvent object to be returned is identical for multiple recipients of the notify call), or might send a separate notification to each of the entities that have registered interest Different store and forward agents could implement different levels of service, from a simple agent that sends a notification and doesn't care whether the notification is actually delivered (for example, one that simply caught RemoteExceptions and discards them) to agents that will repeatedly try to send the notification, perhaps using different fallback strategies, until the notification is known to be successful or some number of tries have been attempted The store and forward agent does not need to know anything about the kinds of events that are triggering the notifications that it stores and forwards All that is needed is that the agent implement the RemoteEventListener interface and some interface that allows the object producing the initial notification to register with the agent This combination of interfaces allows such a service to be offered to any number of different objects without having to know anything about the possible changes in abstract state that might be of interest in those objects Note that the interface used by the object generating the original notifications to register with the store and forward agent does not need to be standard Different qualities of service concerning the delivery of notifications may require different registration protocols Whether or not the relationship between the notification originator and the store and forward agent is leased or not is also up to the implementation of the agent If the relationship is leased, lease renewal requests would need to be forwarded to the agent In fact, an expected pattern of implementation would be to place a store and forward agent on every machine on which objects were running that could produce events This agent, which could be running in a separate JVM (on hardware that supported multiple processes) could off load the notification generating objects from the need to send those notifications to all objects that had registered interest It would also allow for consistent handling of delivery guarantees across all objects on a particular machine Since the store and forward agent is on the same machine as the objects using the agent, the possibilities of partial failure brought about by network problems (which wouldn't affect communication between objects on the same machine) and server machine failure (which would induce total, rather than partial, failure in this case) are limited This allows the reliability of notifications to be off loaded to these agents instead of being a problem that needs to be solved by all of the objects using the notification interfaces A store and forward agent does require an interface that allows the agent to know what notifications it is supposed to send, the destinations of those notifications, and on whose behalf those notifications are being sent Since it is the store and forward agent that is directing notification calls to the individual recipients, the agent will also need to hold the Object (if any) that was passed in during interest registration to be returned as part of the RemoteEvent object In addition, the store and forward agent could be the issuer of Lease objects to the object registering interest in some event This could offload any lease renewal calls from the original recipient of the registration call, which would need to know only when there were no more interest registrations of a particular event kind remaining in the store and forward agent EV32 Notification Filters Similar to a store and forward agent is a notification filter, which can be used by either the generator of a notification or the recipient to intercept notification calls, do processing on those calls, and act in accord with that processing (perhaps forwarding the notification, or even generating new notifications).