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same billing to the same account However, each endpoint is completely independent with respect to actual SimpleDB operations Invoking an operation at one endpoint has no impact on the data stored at any other endpoint Most SimpleDB clients support the primary US endpoint by default and support alternate endpoints via a constructor argument on the base client objectThe code samples for the ListDomains operation demonstrate access to an alternate endpoint for all of the programming languages

So, when we compiled the LightBulb schema, it produced (among other files), LightBulbOperationsjava and _LightBulbImplBasejava The Operations source file provides the Java mapping of operations a CORBA servant must implement You can copy and paste these method signatures into your servant, and then provide an implementation The second file, ImplBase, should be extended using class inheritance by your servant, and should then implement the methods of the Operations file The following example shows an implementation of a CORBA servant, for our distributed lightbulb service Code for LightBulbServant

Figure B10 Program using nonblocking communication to iteratively update a field using an algorithm that requires only communication around a ring (shifting messages to the right)

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SimpleDB implements a web service versioning scheme Every request must indicate which version of the API is being used Service versioning allows a web service to introduce new features and phase out old ones, without breaking existing clientsThe SimpleDB client normally handles the versioning of each request, and there is nothing specific for a user to do However, as a user, you should understand the concept behind versioning as a means of understanding the capabilities of the clients you evaluate and compatibility with the code examples The code snippets in this chapter use version 2009-04-15 of the SimpleDB APIAt the time of this writing, that is the most recent versionThe code here is also fully compatible with the prior API version 2007-11-07 One notable change in the newer version is that it no longer supports two of the previously available operationsThe newer functionality in Select has become the replacement for both Query and QueryWithAttributesAWS deprecated both of them, and they are only available in the older version 2007-11-07 of the APIThis book offers no coverage of Query and QueryWithAttributes but provides extensive coverage of Select

import import import import javautilRandom; orgomgCORBA*; orgomgCosNaming*; orgomgCosNamingNamingContextPackage*;

Problem How can a problem be decomposed into tasks that can execute concurrently Context Every parallel algorithm design starts from the same point, namely a good understanding of the problem being solved The programmer must understand which are the computationally intensive parts of the problem, the key data structures, and how the data is used as the problem's solution unfolds The next step is to define the tasks that make up the problem and the data decomposition implied by the tasks Fundamentally, every parallel algorithm involves a collection of tasks that can execute concurrently The challenge is to find these tasks and craft an algorithm that lets them run concurrently In some cases, the problem will naturally break down into a collection of independent (or nearly independent) tasks, and it is easiest to start with a task based decomposition In other cases, the tasks are difficult to isolate and the decomposition of the data (as discussed in the Data Decomposition pattern) is a better starting point It is not always clear which approach is best, and often the algorithm designer needs to consider both Regardless of whether the starting point is a task based or a data based decomposition, however, a parallel algorithm ultimately needs tasks that will execute concurrently, so these tasks must be identified

// 12, Listing 1 public class LightBulbServant extends _LightBulbImplBase { // Boolean flag representing light bulb state private boolean bulbOn; // Boolean flag representing light bulb working private boolean bulbOk = true; public LightBulbServant() { // Off by default bulbOn = false; } // // // // Implementing operations defined by the LightBulb interface Remember, the Operations class of any interface contains the Java method signatures you must implement

Every SimpleDB operation has a specific set of parameters and responses However, SimpleDB also returns two generic response values Both BoxUsage and RequestID come back as part of every success response and also as part of certain error responses Box Usage BoxUsage is a fractional approximation of how much CPU time is consumed servicing your request, in hours Here is an example BoxUsage number from a GetAttributes request: 00000093382 For the purpose of clarity, this example value is a little more than 93 millionths of an hour, and it would take more than 100,000 requests with this usage to break the one-hour mark for billing purposesThat is an important purpose of this response value: to enable you to correlate requests and billingAt the end of the month, AWS bills you for the sum of all your BoxUsage numbers, in addition to the cost of storage and data transfer Beyond the billing transparency, BoxUsage has a practical use in helping you tune your queries SimpleDB computes BoxUsage based on a number of different factors, depending on the operation Some operations always return a constant BoxUsage and others compute a

Forces The main forces influencing the design at this point are flexibility, efficiency, and simplicity

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