The purpose of the 9th International Conference on Software Engineering Research, Management and Applications SERA held on August , in Baltimore, Maryland was to bring together scientists, engineers, computer users, and students to share their experiences and exchange new ideas and research results about all aspects theory, applications and. Advances in Network Security and Applications. Authors: David C. It was also fine-tuned for use in the first major dependency injection mechanism from Microsoft that is aimed squarely at developers who want to implement the DI and IoC patterns.
Object Builder is the foundation for Unity, a lightweight, extensible dependency injection container that supports constructor injection, property injection, and method call injection.
Unity provides capabilities for simplified object creation, especially for hierarchical object structures and dependencies; abstraction of requirements at run time or through configuration; simplified management of crosscutting concerns; and increased flexibility by deferring component configuration to the container. It has a service location capability, and allows clients to store or cache the container—even in ASP.
NET Web applications. Unity has also continued to evolve while remaining backward compatible; you can use it to enable features within Enterprise Library, as well as use it as a stand-alone DI container. In the most recent release, it offers facilities to implement instance and type interception through a plug-in extension that allow implementations of Aspect Oriented Programming techniques such as policy injection.
Unity has also spawned other DI container implementations aimed at specific tasks and requirements, such as an extremely lightweight implementation designed for use in mobile devices and smart phones. Meanwhile, planned future developments in the Unity and Enterprise Library arena include features to open up Enterprise Library to other third party container mechanisms, while providing additional extensions that enable new capabilities for Unity.
Leaving this historical distraction and returning to the hypothetical application, how can you apply the Dependency Inversion principle to achieve the aims, discussed earlier, of separation of concerns, abstraction, and loose coupling?
The answer is to configure a dependency injection container, such as Unity, with the appropriate types and type mappings and allow the application to retrieve and inject instances of the appropriate objects at run time. Figure 2 illustrates how you can use the Unity application block to implement this container.
In this case, you populate the container with type mappings between interface definitions for the data components and logging components, and the specific concrete implementations of these interfaces that you want the application to use. Figure 2 Dependency injection can select the appropriate components at run time based on configuration of the container. At run time, the business layer will query the container to retrieve an instance of the correct data layer component, depending on its current mapping.
The data layer will then query the container to obtain an instance of the appropriate logging component, depending on the mapping stored for that interface type. As an alternative, the data and logging components may inherit from respective base classes, and registrations in the container can map between these base types and the inheriting concrete types. This container-driven approach to resolving types and instances means that the developer is free to change the implementations for the data and logging components, as long as these implementations provide the required functionality and expose the appropriate interface for example, by implementing the mapped interface or inheriting from the mapped base class.
The container configuration may be set in code at run time using methods of the container that register types, type mappings, or existing instances of objects. Alternatively, you can populate the container by loading the registrations from a configuration source or a file, such as the web. When you want to register more than one instance of a type, you can use a name to define each one and then resolve the different types by specifying the name.
The registration can also specify the lifetime of the object, making it easy to achieve service location-style capabilities by registering the service object as a singleton or with a specific lifetime, such as per-thread. The following code example shows some examples of registering type mappings with the container:.
Note: The code examples reference classes and types using just the class name. You can use type alias definitions within the configuration file to alias the fully qualified type names of classes, which simplifies container registration when you're using a configuration file.
To retrieve instance of an object, you simply query the container by specifying the type, the interface type, or the base class type and the name, if you registered the type using a name , as shown in the next example. The container resolves the type, if it is registered, and creates or returns an instance of the appropriate object.
If it is not registered, the container simply creates a new instance of that type and hands it back. Why would you resolve items through the container when there is no registration for that type? Download content for Azure, ASP. Reference, guide, and step-by-step information are all available.
All the e-books are free. New books will be posted as they become available. The Autoscaling Application Block provides a mechanism for adding autoscaling behaviors to Windows Azure applications based on predictive usage patterns or reactive rules. This makes your Windows Azure application more reliable and resilient to transient faults such as temporary network connectivity issues or temporary service unavailability. This also improves overall application stability.
NET Framework version 4. The Microsoft Enterprise Library is a set of reusable application blocks that help developers meet common enterprise software development challenges. This e-book walks you through a patterns-based approach to building real-world cloud solutions. The patterns apply to the development process as well as to architecture and coding practices. Many others updated and augmented the content while transitioning it from video to written form.
PDF Source content. This guide focuses on the common challenges you will encounter when building applications that run partly in the cloud and partly on-premises, or when you decide to migrate some or all elements of an existing on-premises application to the cloud.
It focuses on using Windows Azure as the host environment, and shows how you can take advantage of the many features of this platform, together with Windows Azure SQL Database, to simplify and speed the development of these kinds of applications.
Containing twenty-four design patterns and ten related guidance topics, this guide articulates the benefit of applying patterns by showing how each piece can fit into the big picture of cloud application architectures. It also discusses the benefits and considerations for each pattern. Most of the patterns have code samples or snippets that show how to implement the patterns using the features of Windows Azure.
However the majority of topics described in this guide are equally relevant to all kinds of distributed systems, whether hosted on Windows Azure or on other cloud platforms.
Practical parallel and concurrent programming. DAG3: a tool for design and analysis of applications for multicore architectures. SAC ' Assertions for debugging parallel programs. View 1 excerpt, cites background. Responsive Parallel Computation. As parallel multicore hardware proliferates, there is growing interest in developing languages and techniques for writing and reasoning about parallel programs.
One important direction is to … Expand. Bringing Parallel Patterns Out of the Corner. ACM Trans. Code Optim. Practical Many-Core Programming.
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