Archive for the 'Java' Category

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JavaOne 2009 Lab - PetClinic in the Clouds

May 22nd, 2009

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 can be deployed on the Amazon EC2 cloud computing infrastructure. They will be exposed to [...]

Benchmarking on the Cloud – Your Definitive Check List!

May 13th, 2009

Introduction
Evaluating a new software product usually involves running benchmark tests many times, to assess the different capabilities of the product using some measurable elements. Generally, the end result of such tests is a matrix that includes the product latency, throughput or scalability values.
Such a matrix compares the product data feed, data retrieval or [...]

Ultra-Scalable and Blazing-Fast: The Sun Fire x4450-Intel 7460-GigaSpaces XAP Platform - 1.8 million operations/sec!

February 9th, 2009

Introduction
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 [...]

Actor Model and Data Grids

January 18th, 2009

dzone_url = “http://www.kimchy.org/actor-model-and-data-grids/”;The Actor Model is getting a log of (much deserved) hype for the past year. With languages like Scala and Erlang pretty much leading the way in reviving it.
First, here is what wikipedia has to say about the Actor Model:
In computer science, the Actor model is a mathematical model of concurrent computation that treats [...]

You want it Fast or Super Fast? – The IB, 10GbE , GigE Benchmark

November 16th, 2008

With the current global financial meltdown, the ability to effectively compete becomes essential. Faster data access and sharing are critical for business success. Speed is critical for beating the competition, translating into a need for better latency.
With MW products this means the ability to push your data from the client end point into the clustered [...]

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