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Service-oriented design and development methodology (SDDM) is a fusion method created and compiled by M. Papazoglou and W.J. van den Heuvel. [1] The paper argues that SOA designers and service developers cannot be expected to oversee a complex service-oriented development project without relying on a sound design and development methodology.
Cloud computing architecture refers to the components and subcomponents required for cloud computing. These components typically consist of a front end platform (fat client, thin client, mobile), back end platforms (servers, storage), a cloud based delivery, and a network (Internet, Intranet, Intercloud).
A primary challenge faced by service-oriented architecture is managing of metadata. Environments based on SOA include many services which communicate among each other to perform tasks. Due to the fact that the design may involve multiple services working in conjunction, an Application may generate millions of messages.
A high-level design provides an overview of a system, product, service, or process. Such an overview helps supporting components be compatible to others. The highest-level design should briefly describe all platforms, systems, products, services, and processes that it depends on, and include any important changes that need to be made to them.
Model-driven architecture (MDA) is a software design approach for the development of software systems. It provides a set of guidelines for the structuring of specifications, which are expressed as models. Model Driven Architecture is a kind of domain engineering, and supports model-driven engineering of software systems.
Overview of a data-modeling context: Data model is based on Data, Data relationship, Data semantic and Data constraint. A data model provides the details of information to be stored, and is of primary use when the final product is the generation of computer software code for an application or the preparation of a functional specification to aid a computer software make-or-buy decision.
These five views are based on function, organization, data, product or service views of a process, and the process view itself, that integrates the other views. The classification is made to break down the complexity of the model into five facets and thus make business process modeling simpler.
The four views of the model are logical, development, process, and physical view. In addition, selected use cases or scenarios are used to illustrate the architecture serving as the 'plus one' view. Hence, the model contains 4+1 views: [1] Logical view: The logical view is concerned with the functionality that the system provides to end-users.