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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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1 Sources of authority A Primary (1) Statutory laws (a) Internal Revenue Code of 1986 The primary source of tax law (b) Taxpayer Relief Act of 1997 Included more than 300 new provisions and 800 changes to the Internal Revenue Code of 1986 (c) Tax legislative process begins with the House Ways and Means Committee and later goes to the House of Representatives If the House approves the bill, it is submitted to the Senate Finance Committee and then to the entire Senate If approved with no changes, it goes to the president for approval or veto If there are changes, the Joint Conference Committee will address them and submit the bill back to the House and Senate (2) Administrative pronouncements (a) Treasury regulations The of cial interpretation of a statutory tax rule written and published by the US Treasury; the highest source of authority next to the Internal Revenue Code Treasury regulations have the full force and effect of the law (b) Revenue rulings Represent the of cial position of the Internal Revenue Service (IRS), but carry less authority than the Code and regulations They provide interpretations of the tax law and give guidance to taxpayers (c) Revenue procedures These also represent the of cial position of the IRS They are generally related to compliance matters such as tax tables, in ation-indexed amounts, asset class lives, and so forth (d) Letter rulings More speci c interpretations by the national of ce of the IRS related to the tax consequences of a contemplated transaction at the request of the taxpayer A letter ruling is pplicable only to the taxpayer who requested it and cannot be used by another taxpayer in a dispute (3) Judicial decision (a) Taxpayers can escalate any tax dispute to a regional appeals of ce of the IRS (b) If a case is unresolved, the taxpayer can take it to federal court for judicial review, consisting of three trial courts i US Tax Court Refuse to pay de ciency No jury trial ii US District Court Pay the de ciency and sue for a refund Provides a jury trial iii US Court of Federal Claims Pay the de ciency and sue for a refund No jury trial (c) If the case is still unresolved, the taxpayer can appeal to the US Circuit Court of Appeals (appellate court); 13 courts, based on jurisdiction (d) The nal appeal is to the US Supreme Court, which may agree to hear the case or refuse to hear it Any ruling is equivalent to law B Secondary sources of tax information consist mainly of books, periodicals, articles, newsletters, and editorial judgments in tax services 2 Research sources Research of a tax question involves the following steps: A Gather all the facts B Diagnose the problem.

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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 is 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 hat 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.