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  • Chunk Cloud Computing

    In this article, Jimmy Nilsson describes an architectural style that he has observed slowly growing in popularity over the last few years, a style that he calls Chunk Cloud Computing.

  • Top 10 Changes in Flex 4

    This week, Adobe released their first official beta of Flex 4, codenamed Gumbo. The release includes a number of major changes. This list gives a high level overview of the items that have changed in the latest version of the popular RIA framework.

  • Using JBoss ESB and JBPM for Implementing VMS Solutions

    In a new article, Boris Lublinsky discusses how the JBoss middleware platform, specifically JBoss ESB and jBPM (JBoss Business Process Management) can be used to integrate both internal and third-party services to deliver composite services and content in customer-specific forms, including Web services, WAP, portals, and more.

  • Metamodel Oriented Programming

    In this article, Jean-Jacques Dubray questions the belief that code and models are two separate worlds. He presents a unified view of Model Driven Engineering, Architecture and Programming models. In particular, he introduces a novel approach to specify execution element semantics in DSLs.

  • Grid Computing on the Azure Cloud Computing Platform, Part 3: Running a Grid Application

    In Part 1 of this series we introduced a design pattern for grid computing on Azure, while in Part 2 we developed a grid application in C#. This time we'll run the application, first locally and then in the cloud. In order to do that, we'll need some help from a grid computing framework.

  • Introduction to Data Services

    This article by Vijay Narayanan, provides an introduction to several aspects of data services that will be of interest to both SOA practitioners and data architects. A general case for data services introduces the article before the author explores specific issues, including: definition of need, rationale and benefits, scope, development, and consumption patterns.

  • Virtual Panel on Cloud Computing

    In this virtual panel, InfoQ wants to find out from leading cloud experts what are the benefits brought by cloud computing as well as the constraints in using them, what is better to use, a public or a private cloud, is the cloud interoperability needed, what is the difference between providing infrastructure or a platform, and how can a client enforce regulatory compliance.

  • The Economics of Service Orientation

    This article explores the structural economic changes brought up by service orientation. Most IT organizations today are under enormous financial pressure trying to keep rising costs and flat budgets in synch. The restructuring brought about by the concept of services and reuse at the service level promises long lasting relief from the cost treadmill.

  • Where To Now with Build Automation?

    Most developers nowadays are familiar with the basic tenets of Continuous Integration, but arguably only a small proportion of these are fully benefiting from an optimized CI set up.This article, discusses taking Continuous Integration beyond merely being a glorified cron job and making it an effective, productivity-enhancing hub for development activity.

  • Grid Computing on the Azure Cloud Computing Platform, Part 2: Developing a Grid Application

    David Pallmann shows how to perform grid computations on the Azure cloud computing platform. In Part 1 he presented a design pattern, while in Part 2&3 he shows how to develop&run a grid application.

  • Introduction to Virtual Service Oriented Grids

    This article discusses the combination of three ideas, virtualization, service-orientation, and grid computing into a single concept and computing platform concept, "virtual service-oriented grids." In addition to history and definitions, the article addresses an approach, with an example, to analyzing and implementing this technology.

  • Grid Computing on the Azure Cloud Computing Platform, Part 1

    In this 3-parts series of articles, David Pallmann explains how to perform grid computations on the Azure cloud computing platform. In Part 1 he presents a design pattern for using Azure for grid computing, while in Part 2 and 3 he is going to give a concrete code example.

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