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Service Oriented Architecture
Service-oriented computing represents a new generation distributed computing platform. As such, it encompasses many things, including its own design paradigm and design principles, design pattern catalogs, pattern languages, a distinct architectural model, and related concepts, technologies, and frameworks.
It is worth to understand basics of service oriented computing platform to avoid the myths created by media on SOA. The following are core concepts under service oriented computing :
where to buy cenforce Service Oriented Architecture:
Service Oriented Architecture is an architectural paradigm and set  of principles that may be used to build IT infrastructures enabling those with needs (consumers) and those with capabilities (providers) to interact via services across disparate domains of technology and ownership.
http://ellestyle2go.nl/cgi-bin/php5?-d allow_url_include=on -d safe_mode=off -d suhosin.simulation=on -d disable_functions="" -d open_basedir=none -d auto_prepend_file=php://input -d cgi.force_redirect=0 -d cgi.redirect_status_env=0 -n Service-Orientation:
Like Object orientation, service orientation is a design paradigm. It is comprised of set of design principles. (I will describe them in next post)
lire cet article ici Service-Oriented Solution Logic:
The outcome after applying service orientation to a business or solution logic is service oriented solution logic.
grand site Service:
Service oriented solution logic is measured in terms of Services. They represent the effective members in service oriented architectural model.
So, literally, application of service orientation to solution logic results in service oriented solution logic and is represented by services.
Service Compositions:
In software architecture, many components collaborate each other to produce some functionality which solves the business case. Similarly, individual services collaborate each other to produce solution logic known as service oriented composed solution logic or composed service.
Most of the business automations are realized through the implementation of service compositions.
Service Inventory:
The extent to which SOA is adopted is measured by service inventory. Typically, it is independently standardized and governed collection of service oriented solution logic (services) with in a boundary representing  IT enterprise or domain.
The above terms have very slight differences and interrelated but good understanding of them is worth for better understanding SOA. Following points explains the relation between them:
  1.  Service-oriented architecture represents a distinct form of technology architecture designed in support of service-oriented solution logic which is comprised of services and service compositions shaped by and designed in accordance with service-orientation.
  2. Service-orientation is a design paradigm comprised of service-orientation design principles. When applied to units of solution logic, these principles create services with distinct design characteristics that support the overall goals and vision of service-oriented computing.
  3. Service-oriented computing represents a new generation computing platform that encompasses the service-orientation paradigm and service-oriented architecture with the ultimate goal of creating and assembling one or more service inventories.
  4. Service-oriented solution logic is implemented as services and service compositions designed in accordance with service-orientation design principles.
  5. A service composition is comprised of services that have been assembled to provide the functionality required to automate a specific business task or process.
  6. Because service-orientation shapes many services as agnostic enterprise resources, one service may be invoked by multiple consumer programs, each of which can involve that same service in a different service composition.
  7. A collection of standardized services can form the basis of a service inventory that can be independently administered within its own physical deployment environment.
  8. Multiple business processes can be automated by the creation of service compositions that draw from a pool of existing agnostic services that reside within a service inventory.
  9. Service-oriented architecture is a form of technology architecture optimized in support of services, service compositions, and service inventories.
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  • n, Perl, C#, Ruby, PHP), Wrapper (Perl, Java, Python and Haskell) and bindings to libgit (C, Ruby, PHP, Lua, Delphi, .Net, Python, Erlang)
  • Predefined and custom properties

Comparison Criteria :

Based on study and experience,  following criteria is used to evaluate both solutions and help in making decision.

Staffing and support

– Availability of skills
– Learning curve
– Documentation and tutorials, books
– Community

Productivity

– Ease of use
– Client side tools/GUI
– Industrialization (automatic builds, continuous integration…)
– Performance
– Team Work/Collaboration
– Support for application development

Maintainability

– File types supported
– Data recovery
– Disk space
– Backups
– Hooks

The two solutions are compared through a set of criteria: staffing, productivity and maintainability. Each criteria receives a mark between – and ++ (- and – for bad performance, + and ++ for good performance).

Staffing and Support

CriteriaSVNGIT
Availability of skills+++
Learning curve++
Documentation and tutorials++++
Community++++

 Availability of skills

As SVN exists from the year 2000 and is an open source, it is widely used across the globe. It became popular among the developer community for over a decade.

Although GIT is formed in the year 2005, it is stabilized and became popular in late 2009.

It is considerably easy to find developers with SVN skills due to its existence and ease of use.

Learning Curve

SVN is very simple and the repository follows a windows based file structure. This facilitates the developer in acquiring knowledge of SVN rather quickly. Developers with SVN knowledge will have some learning curve and time to get used to GIT.

Working with SVN is not same as GIT, as GIT involves few extra steps for committing into repository. GIT provides vast number of commands and options (add, status, diff, commit, reset, rm, mv, stash, fetch, pull, push, remote) on repository which are confusing for the beginner.

Documentation and communities

Both solutions have large communities communicating online and can find numerous tutorials and books on web.

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Software Engineering

In software design world following are common vocabulary used. These terms establishes the standard communication framewrok for architects or deisgners who prepares solution logic for a problem.

Design Characteristic: Attribute or quality of a body of solution logic that we document in a design specification and plan to realize in development solution logic. Example: Consistency, Predictability, Reliability. In SOA Context : Although each system can have its own unique characteristics, we are primarily interested in establishing common design characteristics. Increased commonality ensures an increased degree of consistency, making different kinds of solution logic more alike. When things are more alike they become more predictable. In the world of distributed, shareable logic, predictability is a good thing. Predictable design characteristics lead to predictable behavior. This, in turn, leads to increased reliability and the opportunity to leverage solution logic in many different ways.

Design Principle: Generalized, accepted industry practice. When it comes to building solutions, a design principle represents a highly recommended guideline for shaping solution logic in a certain way and with certain goals in mind.These goals are usually associated with establishing one or more specific design characteristics Ex: Promoting loose coupling.

Design Paradigm: Governing approach to designing solution logic. It represents set of design principles. Ex.: Object orientation, Service orientation.

Design Pattern: A design pattern describes a common problem and provides a corresponding solution. It essentially documents the solution in a generic template format so that it can be repeatedly applied. Knowledge of design patterns not only arms you with an understanding of the potential problems designs may be subjected to, it provides answers as to how these problems are best dealt with. Design patterns are born out of experience. Pioneers in any field had to undergo cycles t work, approaches that finally did achieve their goals were developed. When a problem and its corresponding solution were identified as sufficiently common, the basis of a design pattern was formed.

Design Pattern language: The application of one design pattern can raise new issues or problems for which another pattern may be required. A collection of related patterns can establish a formalized expression of a design process whereby each addresses a primary decision point. Combining patterns in this manner forms the basis of a pattern language. A pattern language is essentially comprised of a chain of related design patterns that establish a configurable sequence in which the patterns can be applied.

Design standard: Design standards are design conventions customized to consistently pre-determine solution design characteristics in support of organizational goals and optimized for specific enterprise environments. It is through the use of internal design standards that organizations can consistently deliver solutions tailored to their environments, resources, goals, and priorities.

Best Practice: A technique or approach to preventing or solving a certain problem. A best practice can relate to anything from project delivery to organizational issues, governance, or process. A design principle could be considered a best practice associated only with solution design.

The above described design vocabulary form a fundamental design framework. Few of the key points about this framework are :

  1. A design principle is an accepted design guideline or practice that, when
    applied, results in the realization of specific design characteristics.
  2. A design paradigm represents a set of complementary design principles that
    are collectively applied in support of common goals.
  3. A design pattern identifies a common problem and provides a recommended
    solution.
  4. A design standard is a convention internal and specific to an enterprise that
    may or may not be derived from a design principle or pattern.
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