Category Archives: space-based architecture

NoCAP Part III GigaSpaces clustering explained..

Posted on November 29, 2010 by Nati Shalom

In part-I of this post I tried to suggest a scalable architecture that can deal all three properties of CAP. Part II goes back to the definition of Availability and Partition tolerance and the different views on that regard. In… Continue reading →

Posted in Cloud, GigaSpaces, space-based architecture, syndicated | Tagged , , | 2 Comments

NoCAP Part III GigaSpaces clustering explained..

Posted on November 29, 2010 by Nati Shalom

In part-I of this post I tried to suggest a scalable architecture that can deal all three properties of CAP. Part II goes back to the definition of Availability and Partition tolerance and the different views on that regard. In… Continue reading →

Posted in Cloud, GigaSpaces, Scalability, space-based architecture, syndicated | Tagged , | Leave a comment

new and modified best practices

Posted on November 21, 2010 by Shay Hassidim

Our best practices wiki is growing rapidly and full with good and useful material. Here are few new best practices added lately: - Finding Partition Load – routing data based on partition load. - Even Data Distribution – simple example explains how to evenly partition … Continue reading →

Posted in .Net, Application Architecture, Application Performance, Benchmarks, Caching, Data Grid, Development, GigaSpaces, Java, JavaSpaces, OpenSpaces, Share Nothing Architecture, space-based architecture | Leave a comment

Scale-out vs Scale-up

Posted on September 1, 2010 by Nati Shalom

In my previous post Concurrency 101 I touched on some of the key terms that often comes up when dealing with multi-core concurrency. In this post I’ll cover the difference between multi-core concurrency that is often referred to as Scale-Up… Continue reading →

Posted in GigaSpaces, sba, space-based architecture, syndicated | Tagged | 3 Comments

Custom Matching-Two Dimensional Cartesian space Comparison using GigaSpaces

Posted on February 22, 2010 by Shay Hassidim

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