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Latest featured content about Grid Computing

Three steps for turning a tier-based/Spring-application into dynamically scalable services

Community
Architecture,
Java
Topics
Performance & Scalability,
Grid Computing

In this presentation, a three steps approach for turning your existing stateful tier-based/Spring-application into a dynamically scalable services application using OpenSpaces is demonstrated. The existing programming model is kept the same while focusing on abstracting and replacing the underlying implementations of the middleware stack in a way that will fit the scale-out model.

Java Grid, why do we need it!

Community
Java
Topics
Performance & Scalability,
Grid Computing

In a stream of consciousness that starts from his humble beginnings in IT, John Daves makes plain the importance of IT in the financial sector, the forces driving banks to utilize grid technologies, how Grid plays with SOA, and why you need to be paying attention to this emerging but important technology.

JAOO Panel: Who will Develop Software in 10 Years?

Community
Architecture
Topics
Business,
Events,
Open Source,
Grid Computing

Martin Fowler, Frank Buschmann, Steve Cook, Jimmy Nilsson, and Dave Thomas discuss the future of software development. Topics covered include outsourcing, is Google the next MS?, multi-core & parallism, grid computing, software stacks of the future, and more. A thoroughly thought-provoking panel! JAOO is producing the QCon event.

News about Grid Computing

Heroku and Morph AppSpaces: two new solutions to Rails hosting

Community
Ruby
Topics
SaaS,
Performance & Scalability,
Cloud Computing,
Deployment / Datacenter,
Grid Computing,
Ruby on Rails

Heroku and Morph Labs are Ruby on Rails hosting providers, offering a complete stack of software and easy to use interfaces to get your applications up and running in a few minutes. We talked to both parties to find out more about their offers.

WebSphere Updates: sMash, eXtreme Scale, Virtual Enterprise, Business Events

Community
Architecture,
Java,
SOA
Topics
Web 2.0,
Virtualization,
Clustering & Caching,
Performance & Scalability,
Grid Computing,
Messaging

At IBM IMPACT this week, IBM announced a several new and re-randed upgraded products dealing with virtualization (Virtual Enterprise), clustering & caching (eXtreme Scale), complex event processing (Business Events), and RESTful web apps (sMash). InfoQ spoke to various execs and product managers to find out more.

Parallel Processing Framework JPPF 1.1 Supports TCP Multiplexer and JMX Monitoring

Community
Java
Topics
Grid Computing

The latest version of JPPF, a java based open source parallel processing framework, includes a networking tool called TCP port multiplexer to enable JPPF work in secure firewall environments. JPPF team released the version 1.1 of the framework which also includes JMX based node monitoring and management features.

GridGain 2.0 Supports Load Balancing, Work Stealing and Data Partitioning

Community
Java
Topics
Grid Computing

The latest version of GridGain, a java based open source grid computing framework, supports load balancing and data partitioning features. GridGain Systems recently released version 2.0 of the framework which also includes a "work stealing" feature where the scheduled jobs running on overloaded nodes in the grid are "stolen" to run on underloaded nodes.

POJO Messaging Architecture with Terracotta

Community
Architecture
Topics
Design,
Performance & Scalability,
Messaging,
Grid Computing

Mark Turansky detailed his implementation of a message bus architecture using Terracotta and Java 5. Instead of using an MQ or JMS based deployment, Mark took advantage of the Terracotta architecture to create his POJO message bus. This allowed for a clean, simple, and inexpensive infrastructure solution to his message needs.

Article: Implementing Master-Worker with Terracotta

Community
Java
Topics
Performance & Scalability,
Grid Computing,
Clustering & Caching

In this case study, Shine Technologies explained how they used Terracotta and the Master Worker pattern to process large volumes of electricity usage data weekly and generate reports with detailed reconciliation & discrepancy highlighting for their customers.