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the application s data access to achieve a quicker and more responsive user experience These same technologies can also help you work within the SimpleDB eventual consistency window There is one primary data access pattern that causes eventual consistency issues: a write immediately followed by a read In most cases, this means a call to PutAttributes for a specific item and then a query whose results should reflect the changes to that item It could also be a GetAttributes request for the same item that follows the PutAttributes As an example of the query scenario, consider the way forums typically work on the InternetYou view a thread of comments and you decide to post your own comment, so you click on the reply linkAfter typing in your comment, you click on the submit button; the server saves your comment to the database (subject to any rules) and then redirects your browser to the thread page, where your new comment is posted at the end In a hypothetical forum application based on SimpleDB, the place where things could go wrong is in the redirect after the new comment is saved If the part of the application that saves the post is completely separate from the part that subsequently displays the post, some trade-offs are being madeThis pattern is not inherently bad, but with an eventually consistent database, the new comment could fail to turn up in the subsequent query because it is performed so quickly after saving the data Using a consistent read solves this problem much of the time but if one of the replicas storing your domain data fails, it can cause consistent reads to return an error while normal reads continue to work with eventual consistency The real problem with this situation is that the necessary data is available in memory but is being dumpedThe solutions to this problem all involve holding on to that data rather than dumping it One option is to use a dispatch mechanism rather than a redirect for populating the follow-up query Rather than round tripping to the user s web browser, a dispatch hands off the request to a different handler on the serverThe unnecessary Internet latency is avoided, and because dispatch allows data passing, the important data is not discarded In this scenario, the handler that saves the comment to the database passes that comment to the handler responsible for displaying a threadThe thread display handler needs one extra capability: merging the passed data into the normal query results This technique, and others like it, works well with SimpleDB because consistency is normally reached before the user can make another requestWhen looking at the data access patterns in an application, whenever you see a write immediately followed by a read, it is OK to use a consistent read but it is also wise to add error handling that either handle it in the same request if the immediacy is required, or place a user action between them if it can waitThis allows you to benefit from the high availability built into SimpleDB Another example of this principle is the display of user profile information Consider a web application where the user has a profile page and can change some aspects of how it appears In the use case where the user saves a profile change and automatically receives a redirect to the profile page, the same data access pattern emerges as with posting forum comments In this case, the follow-up action is a lookup rather than a query, but the im-.

it This is a blocking I/O operation, and will not return until a connection is made (unless the timeout socket option is set) When a connection is established, it will be returned as a Socket object When accepting connections, each client request will be verified by the default security manager, which makes it possible to accept certain IP addresses and block others, causing an exception to be thrown However, servers do not need to rely on the security manager to block or terminate connections the identity of a client can be determined by calling the getInetAddress() method of the client socket void close() throws javaioIOException closes the server socket, which unbinds the TCP port and allows other services to use it InetAddress getInetAddress() returns the address of the server socket, which may be different from the local address in the case of a multihomed machine (ie, a machine whose localhost is known by two or more IP addresses) int getLocalPort() returns the port number to which the server socket is bound int getSoTimeout() throws javaioIOException returns the value of the timeout socket option, which determines how many milliseconds an accept() operation can block for If a value of zero is returned, the accept operation blocks indefinitely void implAccept(Socket socket) throws javaioIOException this method allows ServerSocket subclasses to pass an unconnected socket subclass, and to have that socket object accept an incoming request Using the implAccept method to accept the connection, an overridden ServerSocketaccept() method can return a connected socket Few developers will want to subclass the ServerSocket, and using this should be avoided unless required static void setSocketFactory ( SocketImplFactory factory ) throws method, and should be called only once during the lifetime of a JVM If assigning a new socket factory is prohibited, or one has already been assigned, an exception is thrown void setSoTimeout(int timeout) throws javanetSocketException assigns a timeout value (specified in milliseconds) for the blocking accept() operation If a value of zero is specified, timeouts are disabled and the operation will block indefinitely Providing timeouts are enabled, however, whenever the accept() method is called a timer starts When the timer expires, a javaioInterruptedIOException is thrown, which allows a server to then take further actions.

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Figure 53 MPI program to carry out a trapezoid rule integration in parallel by assigning one block of loop iterations to each UE and performing a reduction

javaioIOException, javanetSocketException, javalang Security Exception assigns a server socket factory for the JVM This is a static

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#include <stdioh> #include <mathh> #include <mpih> int main (int argc, char *argv[]) { int i, i_start, i_end; int num_steps = 1000000; double x, pi, step, sum = 00; int my_id, numprocs; step = 10/(double) num_steps; MPI_Init(&argc, &argv); MPI_Comm_rank(MPI_COMM_WORLD, &my_id); MPI_Comm_size(MPI_COMM_WORLD, &numprocs); i_start = my_id * (num_steps/numprocs); i_end = i_start + (num_steps/numprocs); if (my_id == (numprocs-1)) i_end = num_steps; for (i=i_start; i< i_end; i++)

The most important function of a server socket is to accept client sockets Once a client socket is obtained, the server can perform all the "real work" of server programming, which involves reading from and writing to the socket to implement a network protocol The exact data that is sent or received is dependent on the details of the protocol For example, a mail server that provides access to stored messages would listen to commands and send back message contents A telnet server would listen for keystrokes and pass these to a log-in shell, and send back output to the network client Protocol-specific actions are less network- and more programming-oriented The following snippet shows how client sockets are accepted, and how I/O streams may be connected to the client:

} sum *= step; MPI_Reduce(&sum, &pi, 1, MPI_DOUBLE, MPI_SUM, 0, MPI_COMM_WORLD); if (my_id == 0) printf("pi %lf\n",pi); MPI_Finalize(); return 0; }

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