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Beyond the language that either system supports, there are some fundamental differences in the way that RPC and RMI work Remote method invocation deals with objects, and allows methods to accept and return Java objects as well as primitive datatypes Remote procedure calls, on the other hand, do not support the notion of objects RPC services offer procedures, which are not associated with a particular object Messages to an RPC service are represented by the External Data Representation (XDR) language, which abstracts the differences between byte ordering and structure of datatypes Only datatypes that are definable by XDR can be passed, and while this amounts to a large variety of primitive datatypes and structures composed of primitive datatypes, it does not allow objects to be passed Neither system is perfect Many RPC services already exist, and RMI is not compatible with these legacy applications However, it is easier for Java developers to use RMI, rather than using a library that implements RPC, as services can exchange entire objects, rather than just individual data fields By writing distributed systems in RMI, however, the ability to develop systems in other languages is lost There are, however, distributed systems technologies that do support other languages The most popular choice for this is the Common Object Request Broker Architecture (CORBA), which the Java 2 platform supports CORBA has many advantages, as well as some limitations, and is discussed further in 12

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public class ListingTool extends AdminTool { ListingTool() { super(null); } @Override void doInvoke() { for (String domain : simpleDblistDomains()) { Systemoutprintln(domain); } } }

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Systems that use RMI for communication typically are divided into two categories: clients and servers A server provides an RMI service, and a client invokes object methods of this service RMI servers must register with a lookup service, to allow clients to find them, or they can make available a reference to the service in some other fashion Included as part of the Java platform is an application called rmiregistry, which runs as a separate process and allows applications to register RMI services or obtain a reference to a named service Once a server has registered, it will then wait for incoming RMI requests from clients Figure 11-2 illustrates services registering with a single RMI registry Associated with each service registration is a name (represented as a string), to allow clients to select the appropriate service If a service moves from one server to another, the client need only look up the registry again to find the new location This makes for a more faulttolerant system if the service is unavailable because a machine is down, a system administrator could launch a new instance of the service on another system and have it register with the RMI registry Providing the registry remains active, you can have your servers go online and offline or move from host to host The registry doesn't care which host a service is offered from, and clients get the service location directly from the registry Figure 11-2 Multiple services can register with the same registry

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thread flushes all visible variables to ensure that a consistent view of the memory is seen inside the critical section At the end of the critical section, we need any memory updates occurring within the critical section to be visible to the other threads in the team, so a second flush of all thread visible variables is required The critical section construct is not only expensive, it is not very general It cannot be used among subsets of threads within a team or to provide mutual exclusion between different blocks of code Thus, the OpenMP API provides a lower level and more flexible construct for mutual exclusion called a lock Locks in different shared memory APIs tend to be similar The programmer declares the lock and initializes it Only one thread at a time is allowed to hold the lock Other threads trying to acquire the lock will block Blocking while waiting for a lock is inefficient, so many lock APIs allow threads to test a lock's availability without trying to acquire it Thus, a thread can opt to do useful work and come back to attempt to acquire the lock later Consider the use of locks in OpenMP The example in Fig 67 shows use of a simple lock to make sure only one thread at a time attempts to write to standard output The program first declares the lock to be of type omp_lock_t This is an opaque object, meaning that as long as the programmer only manipulates lock objects through the OpenMP runtime library, the programmer can safely work with the locks without ever considering the details of the lock type The lock is then initialized with a call to omp_init_lock

The ListDomains operation in SimpleDB returns a listing of all the domains for the given account Because no single domain name is required for this operation, the no-arg constructor passes null to the super class constructor in place of an actual domain name ListingTool overrides the doInvoke() method to loop through the results of the client library s listDomain() method, printing each name to the console

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