Category Archives: JavaSpaces

Custom Matching-Two Dimensional Cartesian space Comparison using GigaSpaces

Usually you index and execute queries using primitive fields (long, float, string, etc). The fields may be within the root level of the space object, or embedded within nested objects within the space object. You may construct a query using … Continue reading

Posted in Application Architecture, Application Performance, Benchmarks, Data Grid, Development, GigaSpaces, Java, JavaSpaces, OpenSpaces, sba, space-based architecture | Leave a comment

The Master-Worker Pattern

The Master-Worker Pattern (sometimes called Master-Slave pattern) is used for parallel processing. It follows a simple approach that allows applications to perform simultaneous processing across multiple machines or processes via a Master and multiple Workers. In GigaSpaces XAP, you can … Continue reading

Posted in Application Architecture, Application Performance, Data Grid, Development, Events, GigaSpaces, Java, JavaSpaces, OpenSpaces, sba, SOA, space-based architecture, Spring Framework | Leave a comment

The Word is Out on GigaSpaces XAP 7.0

GigaSpaces XAP 7.0 was released in mid-July. For those who missed the buzz, in this post I’ll try to provide a summary of the main perspectives that were voiced about the new release. At the end of this post is… Continue reading

Posted in GigaSpaces, JavaSpaces, syndicated | Tagged | 3 Comments

From static to elastic web applications

During the past few weeks I gave few talks about our latest XAP release and some of the new models that we introduce in this new release. During all those talks I found myself explaining what is the difference between… Continue reading

Posted in Data Grid, GigaSpaces, JavaSpaces, syndicated | Tagged | Leave a comment

JavaOne 2009 Lab – PetClinic in the Clouds

This year JavaOne will include really cool lab – PetClinic in the Clouds: Scaling a Classic Enterprise Application. In this Hands-on Lab, participants will take a popular Web application (the Spring PetClinic sample application) and modify it so that it … Continue reading

Posted in Application Architecture, Application Performance, Caching, Cloud, Data Grid, Development, Events, GigaSpaces, Hibernate, Java, JavaSpaces, SOA, space-based architecture, Spring Framework | Leave a comment