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The Jini technology infrastructure is built around the model of clients looking for services The notion of a service encompasses access to information, computation, software that performs particular tasks, and in general any component that helps a user accomplish some goal Services can themselves be clients of other services, and can be grouped together to provide higher level functionality The Jini architecture requires a service to be defined in terms of a data type for the Java programming language that can then be implemented in different ways by different instances of the service A service can be a member of many different types, allowing a single service instance to provide a variety of functionality to clients This is a standard practice in object oriented software However, the distributed nature of a system of Jini technology enabled services and/or devices allows data types for the Java programming language to be implemented in a combination of software and hardware in a way that is unique The core of the idea that enables this implementation flexibility is quite simple Services are defined via an interface, and the implementation of a proxy supporting the interface that will be seen by the service client will be uploaded into the lookup service by the service provider This implementation is then downloaded into the client as part of that client finding the service This service specific implementation needs to be code written in the Java programming language (to ensure portability) However, since this code comes from the actual instance of the service being used, it can know in great detail the specifics of the particular service implementation for which it is the proxy Not only can the code that is downloaded know about the software used to implement the service, the code can know specifics about the hardware on which the service resides In the limit case of this, the hardware could be all that there is to the service, and the downloaded software could act as a network level device driver, taking method calls in the Java programming language from the client and generating specific, hard coded requests to the hardware on the other end of the network wire This approach to services requires that there be a piece of code written in the Java programming language that can be downloaded by the client of the service and some hardware that ultimately runs the service Between these two points, however, there are a number of options concerning the software structure, hardware structure, and location of components that can be chosen by the service provider These options allow trade offs to be made in the functionality provided and he cost of the underlying hardware In what follows we begin by discussing in more detail the requirements placed on a service to be part of a system of Jini technology enabled services and/ or devices We then discuss some examples of combinations of software and hardware that can be used to implement Jini technology capable services once the specialized implementations in hardware begin to play a role DA11 Requirements from the Jini Lookup Service The actual offering of a service places very few requirements on the entity that makes the offer; indeed, it is possible to implement a device using a Jini technology enabled software services that offers a service in such a way that the code written in the Java programming language that is downloaded by the client transmits bit patterns to the hardware that are directly interpreted In such cases the amount of intelligence needed for a a Jini technology enabled device is minimal The code written in the Java programming language could talk directly to the device controller in much the same way that the device would be talked to if it were on the local computer's bus (with, of course, some modifications for dealing with the network centric aspects of the communication).

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Separation of concerns When we have to change the behavior of a system, we want to change as little code as possible If all the relevant changes are in one area of code, we don t have to hunt around the system to get the job done Because we cannot predict when we will have to change any particular part of the system, we gather together code that will change for the same reason For example, code to unpack messages from an Internet standard protocol will not change for the same reasons as business code that interprets those messages, so we partition the two concepts into different packages Higher levels of abstraction The only way for humans to deal with complexity is to avoid it, by working at higher levels of abstraction We can get more done if we program by combining components of useful functionality rather than manipulating variables and control ow; that s why most people order food from a menu in terms of dishes, rather than detail the recipes used to create them Applied consistently, these two forces will push the structure of an application towards something ike Cockburn s ports and adapters architecture [Cockburn08], in which the code for the business domain is isolated from its dependencies on technical infrastructure, such as databases and user interfaces We don t want technical concepts to leak into the application model, so we write interfaces to describe its relationships with the outside world in its terminology (Cockburn s ports) Then we write bridges between the application core and each technical domain (Cockburn s adapters) This is related to what Eric Evans calls an anticorruption layer [Evans03] The bridges implement the interfaces de ned by the application model and map between application-level and technical-level objects (Figure 61) For example, a bridge might map an order book object to SQL statements so that orders are persisted in a database To do so, it might query values from the application object or use an object-relational tool like Hibernate3 to pull values out of objects using Java re ection We ll show an example of refactoring to this architecture in 17 The next question is how to nd the facets in the behavior where the interfaces should be, so that we can divide up the code cleanly We have some second-level heuristics to help us think about that.

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INTRODUCTION. QR Code generator in visual basic use .net . uss code 39 implement torender barcode 3/9 . The benefits of separating the core application functionality from other oncerns such as task placement and coordination motivated the FarGo [28] model that enabled dynamic layout of distributqd applications in large-scale networks where capabilities of nodes and links could vary at runtime. By explicitly indicating co-location and re-location semantics of the tasks, FarGo elevated the performance and reliability of applications by allowing the deferment of layout decisions to runtime. Distributed Oz [25] is perhaps the closest to ATaG in terms of its objective of network transparency and network awareness. Distributed Oz cleanly separates the application functionality from aspects of distribution structure, fault tolerance, resource control and security, and openness. There are no explicit operations to transfer data across the network. All invocations of send() and receive() are done implicitly through language constructs of centralized programming. IBM s PIMA project [9] explored a write once, run anywhere model for application front-ends by specifying device-specific presentation hints separately from the tasks and their interactions - yet again highlighting separation of functional and nonfunctional concerns as the key enabler of architecture independence. Tuple space is an abstract computation environment that represents a global communication buffer accessible to computational entities in the system. This was the basis for the generative communication model in the Linda coordination language [20] and is also being applied in networked sensing [14]. Communication orthogonality is a property of generative communication.Related: 

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