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.
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.
David Pallmann shows how to perform grid computations on the Azure cloud computing platform. In Part 1 he presents a design pattern, while Part 2&3 will contain a concrete code example.
The confluence of three technologies, (virtualization, service orientation, and grid computing), is explored to create a foundation for re-examining both technical and business system design issues. 2
In this article, Boris Lublinsky explains how Grid computing can be used in the overall SOA architecture, and introduces a programming model for Grid utilization in the implementation of SOA services. 2
The Worldwide Large Hadron Collider (LHC) Computing Grid provides data storage and analysis for the entire high energy physics community that will use the LHC. 2
A real world case study of a consultancy that distributed the load & increased scalability of its applications using open source Terracotta with the Master/Worker pattern. 3
In a stream of consciousness, John Daves makes plain the importance of IT in the financial sector, forces driving the use of grid computing, the role that SOA plays, and why you need to watching. 12