Programming model Sample Clauses

Programming model. The Programmer's proposed programming model as at November 1, 2010 envisages that each program will remain on the Xbox SVOD Service for twenty-eight (28) days with half of those programs being refreshed every fourteen (14) days. (
Sample 1
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Programming model. ‌ The programming model of CRUCIAL is object-based and can be integrated with any object-oriented programming language. As Java is the language supported in our implementation, the following description considers its jargon. Overall, a CRUCIAL program is strongly similar to a regular multi-threaded, object-oriented Java one, besides some additional annotations and constructs. Table 1 summarizes the key abstractions available to the programmer that are detailed hereafter. Table 1: Programming abstractions Abstraction Description CloudThread Cloud functions are invoked like threads. ServerlessExecutorService A simple executor service for task groups and distributed parallel fors. Shared objects Linearizable (wait-free) distributed objects (e.g., AtomicInt, AtomicLong, AtomicBoolean, AtomicByteArray, List, Map). Synchronization objects Shared objects providing primitives for thread synchronization (e.g., Xxxxxx, Semaphore, CyclicBarrier). @Shared User-defined shared objects. Object methods run on the DSO servers, allowing fine-grained updates and aggregates (e.g., .add(), .update(), .merge()). Data persistence Long-lived shared objects are replicated. Persistence may be activated with @Shared(persistence=true). Cloud threads A CloudThread is the smallest unit of computation in CRUCIAL. Semantically, this class is similar to a Thread in conventional concurrent computing. To write an application, each task is defined as a Runnable and passed to a CloudThread that executes it. The CloudThread class hides from the programmer the execution details of accessing the underlying XxxX platform. This enables access transparency to remote resources [55]. Serverless executor service The ServerlessExecutorService class may be used to execute both Runnable and Callable instances in the cloud. This class implements the ExecutorService interface, allowing the submission of individual tasks and fork-join parallel constructs (invokeAll). The full expressiveness of the original JDK interface is retained. In addition, this executor also includes a distributed parallel for to run n iterations of a loop across m workers. To use this feature, the user specifies the in-loop code (through a functional interface), the boundaries for the iteration index, and the number of workers m. State handling CRUCIAL includes a library of base shared objects to support mutable shared data across cloud threads. The library consists of common objects such as integers, counters, maps, lists and arrays...
Sample 1
Programming model. Until now emphasis has been placed on classes that form the API of the framework. This API will enable a Model Driven style of development but, in a transparent way for the programmer, it will create a reflective architecture of software components. The abstract class of figure 5-8 will be provided, from which all statechart -based components will be derived. <<create>>+StateMachine(executor) #initStructure() #initBehaviour() #adjustStructure(context) +start() StateMachine Figure 5-8. Base class for all statecharts. Framework for adaptation through reconfiguration of components eDIANA: GA no.: 100012 D2.2-C initStructure() and initBehaviour() are abstract methods that the developer must override. The first will serve to define the state hierarchy and the second, to define the behaviour of each those states. start() is a final method that makes the component run. The following Java code snippet shows how the statechart is defined at initialization time by overloading the pertinent methods. class NewStatechart extends StateMachine { …. protected void initStructure () { sRoot =new XorState ("sRoot"); rootState = sRoot ; xXxxx =new XorState ("Idle"); sRoot . addInitialState (xXxxx); sControlling =new XorState ("Controlling"); sRoot . addState (sControlling); sStandBy =new XorState ("StandBy"); sStandBy . setTimer (60*1000); //1min
Sample 1
Programming model. ‌ The programming model of CRUCIAL is object-based and can be integrated with any concurrent object-oriented language. As Java is the programming language supported in our implementation, the following description considers its jargon.1 Overall, a CRUCIAL program is strongly similar to a regular multi-threaded, object-oriented Java one, besides some additional annotations and constructs. Table 1 summarizes the key programming abstractions available to the developer that are detailed hereafter. Cloud threads A CloudThread is the smallest unit of computation in CRUCIAL. Semantically, this class is equivalent to a Thread in conventional parallel computing. To write an application, each task is defined as a Runnable and passed to a CloudThread that executes it. This class hides the execution details of the cloud function in the XxxX platform to the developer. Serverless executor service Both Runnable and Callable may run in the cloud using the serverless executor service (ServerlessExecutorService). This class implements the ExecutorService inter- face, allowing the submission of both individual tasks and fork-join parallel constructs (invokeAll). The full expressiveness of the original JDK interface is retained. Moreover, this executor also includes a distributed parallel for to run n iterations of a loop across m workers. To use this feature, the user specifies the in-loop code (through a functional interface), the boundaries for the iteration index, and the number of workers m. We have also implemented a HybridExecutorService that combines lo- cal threads and remote serverless functions. This hybrid version is transparent from the application point-of-view: Callable tasks are submitted to the HybridExecutorService, which decides whether to run them as local threads or remote serverless functions using a naive approach depending on 1The programming model of CRUCIAL is also recalled in Deliverable D5.2 [97, Section 4]. the current local load: if the local thread pool queue is not empty, tasks are scheduled to be run as serverless functions. State handling CRUCIAL includes a library of base shared objects to support mutable shared data across cloud threads. The library consists of common objects such as integers, counters, maps, lists and arrays. These objects are wait-free and linearizable [82]. This means that each method invocation terminates after a finite amount of steps (despite concurrent accesses), and that concurrent method invocations behave as if th...
Sample 1

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