InfoQ Homepage Grid Computing Content on InfoQ
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Greener datacenters through Millicomputer clusters?
Adrian Cockcroft is defining a new type of enterprise computing platform where he addresses the problem of power consumption with the "Millicomputer" - a computer that requires less than 1 Watt. The idea is to build enterprise servers out of commodity components from the battery powered mobile space. 100 such Millicomputers can be clustered on a single 1U rack and consume less than 160W.
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Oracle's Cameron Purdy on Coherence 3.3 and the Future of the Grid
Oracle has released Coherence 3.3 a Java grid computing and data clustering solution. InfoQ caught up with Tangosol founder Cameron Purdy who is now a Vice President of Development at Oracle to discuss the acquisition and the upcoming release.
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Open Source Google-Like Infrastructure Project Hadoop Gains Momentum
While it has been in existence for over a year, open source Google-like infrastructure project Hadoop is just now receiving wider noticed by the development community. Recently Yahoo's Jeremy Zawodny provided a status update showing benchmark performance improving by 20x in the last year.
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Amazon adds a machine image marketplace to EC2
Amazon continues to create more competitive advantage for its infrastructure services platform (AWS) by introducing a new marketplace which allows image producers to charge customers for the machine images they develop.
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Using Amazon Web Services to Implement a Video File Conversion app
As covered on InfoQ in the past, Amazon's infrastructure services platform is enabling new levels of cost savings as well as capabilities for certain classes of applications that can map to its scalable compute and storage services. One recent sample application demonstrates building a complete video file conversion service.
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GridGain Releases Open Source Java Grid Computing Platform with AOP Enablement
GridGain Systems has released version 1.0 of their open source Java grid computing platform. In addition to task oriented grid enabling, GridGain also provides an AOP enablement option. Annotations can be used to grid enable method execution.
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Gemstone, Tangosol Offering Native .NET Clients to Distributed Data Caches
Gemstone last month released its Gemfire distributed data cache offering with native C++ and .NET cache clients. Tangosol last week also released Coherence for .NET which provides a native C# client to access data in Coherences' data grid. Both companies have Java-based distributed cache solutions with .NET support, frequently used by projects with .NET client front-ends with Java backends.
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Panel: Who will Develop Software in 10 Years?
In this video discussion panel (with transcript) 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. The panel is from QCon sister-conference JAOO.
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GigaSpaces 5.2: Adds support for Spring, .NET, local-views
GigaSpaces this month released version 5.2 of their in-memory datagrid and space-based architecture suite, now bringing it's capabilities to the .NET world, as well as adding support for Spring, SQL-based continuous queries and local-views, and special support for "slow consumers". InfoQ spoke to GigaSpaces CTO Nati Shalom to find out more.
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Run Your Own Google Style Computing Cluster with Hadoop and Amazon EC2
Amazon's EC2 Elastic Computing cloud allows developers to acquisition computing power a the rate of $0.10 per hour consumed. Work as been done to allow Hadoop an open source MapReduce implementation written in Java to run on EC2. This combination will allow developers to write scalable algorithms and then bring up large numbers of servers to use as computing power for them as needed.
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Starfish Brings Google-Style Distributed Processing to Ruby
An implementation of MapReduce, a process invented by Google to easily split up tasks to be performed by hundreds of machines, is brought to Ruby in a library called Starfish.
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Grid Computing with the Java Parallel Processing Framework
The Java Parallel Processing Framework has been making frequent point releases recently; it provides an API and framework to distribute tasks over a cluster of computers and coordinate their execution in parallel, load balanced with recovery. Application code for tasks are dynamically distributed and class-loaded onto cluster node with no pre-deployment or configuration required.
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Grid Computing Overview
Tim Bray, co-inventor of XML and high profile blogger, has posted a useful overview of alternatives for Grid Computing, including the Web services-based OSGA.