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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.

David Pallmann
on May 25, 2009
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.

Vijay Narayanan
on May 19, 2009
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.

Abel Avram
on May 19, 2009
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.

John Smart
on May 15, 2009
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.

David Pallmann
on May 11, 2009
Architecture & Design

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.

Mark Chang Jackson He Parviz Peiravi Enrique Castro-Leon
on May 06, 2009
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.

David Pallmann
on May 01, 2009
The Emergence of Virtual Service Oriented Grids

This article introduces and discusses three technologies, virtualization, service orientation, and grid computing, and then shows how they are combining to create new design and deployment options - "Virtual Service Oriented Grids." The business case for using this emergent model is also discussed.

Parviz Peiravi Enrique Castro-Leon Mark Chang Jackson He
on Apr 30, 2009
The Problem of Power Consumption in Servers

Power consumption by servers is of increasing concern to business and IT management. This Intel article discusses the sources of power consumption as a function of server form factor and workload; power consumption of other components, power supplies and conversion, plus heat generation and cooling demands. How to estimate consumption and design factors affecting consumption are also covered.

Intel
on Apr 01, 2009
Fetching strategy implementation in a J2EE application using AOP

This article presents a fetching strategy that using AOP, optimizes the data retrieval process from a back end system on a use case basis in a modular way without bloating the lower level service or repository layers.

Manjunath R Naganna
on Mar 30, 2009
What's New in Groovy 1.6

Groovy project lead writes about Groovy 1.6 changes and improvements, including include performance enhancements, integration of JMX Builder, and OSGi readiness.

Guillaume LaForge
on Feb 27, 2009
Blaze Data Services or LiveCycle Data Services?

This article, by Ryan Knight, compares two similar products: Adobe’s LiveCycle Data Services (LCDS) and Open Source Blaze Data Services. The comparison is necessary to know the differences between the two products in order to choose the right one for a certain situation.

Ryan Knight
on Feb 16, 2009

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