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17.12.2007
# Amazon SimpleDB 101 & Why It Matters - GigaOM ← http://www.infoq.com/news/2007/12/simpledb
If designers of these ORMs want to stay in the scalable apps game, they should take a serious look at using SimpleDB as a data store. Better yet, they should build ORMs from the ground up to integrate with SimpleDB.More than two years ago I wrote that Web 2.0 needs Data 2.0. The combination of EC2, S3 and SimpleDB is a toolkit for assembling massively scalable REST addressable web databases. Data 2.0 is now officially here. May the fun and games begin. | 17.12.2007 16:43 Uhr | amazon simpledb aws space data
27.11.2007
# Grid Computing by Nikita Ivanov : Weblog
Split/Aggregate for Scalability and Performance on the Grid | 27.11.2007 16:42 Uhr | java space data
09.06.2007
# WTF is a Data Grid, anyhow? - /dev/null
Ever since Tangosol (now Oracle) introduced the notion of a data grid, there has been a lot of interest in the concept, especially after all the major analysts started highlighting the technology. With eXtreme Transaction Processing (XTP) and Event-Driven Architectures threatening to enter the mainstream of enterprise application development, I get a lot of questions about what data grids are, and how they can be used. | 09.06.2007 20:10 Uhr | java space data esp
12.04.2007
# The GigaSpaces Blog » Blog Archives » When you need more than just a Data Grid
These requirements are very closely related to each other, as in many cases what drives the complexity is the way one handles scalability. In their case, they realized that SOA is the right approach to achieve scalability, but as we wll know, SOA is just a concept and not a solution on its own. Most of the existing SOA solutions tend to make things even more complex in the way they handle the distribution of the service because of the fact that they ignore the realization that services are stateful and that breaking your application into network components may address the separation of concerns, but introduces a whole set of other issues related to how those service components maintain their state and communicate without adding performance overhead, complexity and reliability due the increase of moving parts in the network. | 12.04.2007 20:30 Uhr | java space data soa
# Geva Perry's Blog: It's the architecture, stupid!
Besides the many GigaSpaces customers who are proof that this approach is being accepted. Look at the architectures of Google, Amazon, eBay, MySpace, LiveJournal and other Web stalwarts. They have all come to the same conclusion - with different nuances. They have all realized that the level of scalability, reliability and performance they need -- while keeping cost and complexity down -- will not come from a J2EE app server + database + messaging. It will not come from an n-tier architecture. Instead, they moved to a scale-out architecture, which aims for a shared-nothing approach. | 12.04.2007 20:27 Uhr | java space data database
30.03.2007
# Making it stick.: FIT Wiki Rules Spaces
30.03.2007 15:59 Uhr | java jini javaspaces rules
30.01.2007
# Enterprise Java Community: Using JavaSpaces ← http://www.theserverside.com/news/thread.tss?thread_id=44042
JavaSpaces has been a bit of an unknown technology for a long time. It's one of those technologies that programmers know is out there, but haven't actually used enough to say they understand what it's for or what it can do for them. JavaSpaces is, in very simple terms, a kind of client/server map, a grid in which data lives. This article walks through the creation of a simple computation server, explaining the Spaces model along the way. | 30.01.2007 13:22 Uhr | java javaspace