Archive for the 'space-based architecture' Category

Next Page »

Scale-out vs Scale-up

September 1st, 2010

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…

Custom Matching-Two Dimensional Cartesian space Comparison using GigaSpaces

February 22nd, 2010

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 a template object or SQL to specify the criteria you would like to use [...]

How Map/Reduce and the Cloud are Affecting Analytics Applications

October 1st, 2009

Two weeks ago I gave a presentation at the Sun HPCW workshop in beautiful Regensburg, Germany. It was a great chance to meet many of the folks from the Sun Grid Engine team face to face. It was also a…

7.0.1 - One giant step for XAP.NET

September 17th, 2009

Even though 7.0.1 is considered a minor version, when it comes to XAP.NET, it offers very powerful set of new features which improve the initial user experience, better monitoring capabilities and most importantly, exposing remote services over the grid. I feel very confident by saying that 7.0.1 XAP.NET offers a giant step ahead because of [...]

The Master-Worker Pattern

August 24th, 2009

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 implement the Master-Worker pattern using several methods:
- Task Executors - best for a scenario [...]

Next Page »