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condition will cause an error when stub and skeleton classes are generated This condition is needed, as a client that invokes a remote method may not be able to connect to the RMI service (due to firewall/network issues, or if the server is inactive) By declaring a throws clause, clients that use the service are forced to catch and deal with the RemoteException, rather than having it surprise users at runtime MarshalledObject This class represents a serialized object, using the same mechanism for serialization as used in marshalling and unmarshalling parameters and return values Objects serialized in this way have the codebase of their class definition files annotated, so that they can be dynamically loaded by RMI clients or servers Naming Class The Naming class offers static methods to assign or retrieve object references of the RMI object registry (rmiregistry) Each method takes as a parameter a Java string, representing a URL to a registry entry The format of these entries is as follows:

Max storage per domain: 10GB Max attribute values per domain: 1 billion Initial max domains per account: 100 Max attribute values per item: 256 Max length of item name, attribute name, or value: 1024 bytes Max query execution time: 5 seconds Max query results: 2500 Max query response size: 1MB Max comparisons per query: 20

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When a low-level input stream is created, it will read from a source of information that supplies it with data (see Figure 4-5) Input streams act as consumers of information they devour bytes of information as they read them That is, bytes are read from a file sequentially subject to a few exceptions, once they have been read, you can't go back and read them again They haven't been erased; the stream has simply moved on to the next byte of information Figure 4-5 Reading from a low-level stream is done sequentially you can't normally go back to the beginning and read again

Is the decomposition flexible in the number of tasks generated Such flexibility allows the design to be adapted to a wide range of parallel computers Is the definition of tasks implied by the task decomposition independent of how they are scheduled for execution Such independence makes the load balancing problem easier to solve Can the size and number of chunks in the data decomposition be parameterized Such parameterization makes a design easier to scale for varying numbers of PEs Does the algorithm handle the problem's boundary cases A good design will handle all relevant cases, even unusual ones For example, a common operation is to transpose a matrix so that a distribution in terms of blocks of matrix columns becomes a distribution in terms of

Of course, the sequential nature of input streams isn't necessarily a bad thing We wouldn't want to store the entire contents of a five-megabyte file in memory just so that a program had the option of going back to an earlier point in time However, some high-level filter streams support a limited push-back ability, allowing you to jump back to a specific point in the stream, on the condition that the point is marked This functionality is useful at times for looking ahead to see the contents of a stream, but is not supported by many filter streams A further point that readers should be aware of is that reading from an input stream uses blocking I/O Blocking I/O is a term applied to any form of input or output that does not immediately return from an operation For example, reading from a file will block indefinitely, until the hard drive is accessible and the drive read head moves to the correct location to retrieve a byte of data This is usually fairly quick, but if you're reading a byte at a time (rather than, say, a chunk of 1,024 bytes, or a kilobyte) then the number of read operations that may block can add up to some significant delays When reading from a network connection, where delays can range from milliseconds to tens of seconds or, worse still, not at all then blocking I/O can cause performance problems This can be alleviated, but not eliminated, by using data buffering, discussed later in the chapter 4211 The javaioInputStream Class The abstract InputStream class defines methods, listed below, common to all input streams; all of them are public Methods

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