Archive for the 'Development' Category
Custom Matching-Two Dimensional Cartesian space Comparison using GigaSpaces
February 22nd, 2010Usually 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 [...]
7.0.1 - One giant step for XAP.NET
September 17th, 2009Even 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, 2009The 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 [...]
JavaOne 2009 Lab - PetClinic in the Clouds
May 22nd, 2009This 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 can be deployed on the Amazon EC2 cloud computing infrastructure. They will be exposed to [...]
Ultra-Scalable and Blazing-Fast: The Sun Fire x4450-Intel 7460-GigaSpaces XAP Platform - 1.8 million operations/sec!
February 9th, 2009Introduction
Over the past several years highly concurrent applications have faced some serious challenges when trying to scale on multi core machines. GigaSpaces scale-out-application server aims to solve this problem by freeing the user from dealing with the need to handle concurrency while building his distributed application.
For the last few weeks we ran a joint [...]
