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Given a set of servers with different hardware (CPU, memory and network bandwidth) and given a set of processes with different hardware requirements, how can we assign each process to a server and minimize the total cost of all the active servers? This is an "NP complete" bin packing problem. So how do we find an optimal solution in reasonable time? And what if we want to solve it in real-time? This session will walk you through the code, implemented in Drools Planner. It will compare different optimization algorithms by the total cost of their solutions. And it includes demo's of course. JBoss Drools Planner optimizes planning problems, such as employee rostering, appointment timetabling, task scheduling, vehicle routing and bin packing.
by Steve Millidge
We know JBoss Enterprise SOA Platform can deliver huge agility in developing new functionality through service reuse. However if our services become popular they may be subjected to massively increased client load from events we as service owners can not predict.With the massive return on investment gained in deployment of private clouds using technologies such as Red Hat Enterprise Virtualization it is now possible to combine SOA-P with JBoss Operations Network to elastically scale out your Service Deployments in response to real time load increases.
by Hardy Ferentschik
Clouds are an interesting deployment platform, but managing state in dynamically scalable environments is not an easy task. There exist a whole range of different NoSQL solutions with strong differences in performance, capabilities, reliability, isolation and ease of use. In this talk we discuss briefly the different NoSQL solutions and show where Hibernate OGM fits into the picture. Hibernate OGM (Object Grid Mapper) is built on the robust and proven Hibernate core engine and helps you to port existing JPA (Hibernate) applications to alternative storage engines decoupling application code from a specific NoSQL solution. The project is relatively new and not all JPA features are supported; also only one storage engine is supported at the moment: Infinispan. Hardy and Sanne will explain how OGM is designed, what to expect next and how to plug in your own storage engine. All this is accompanied with a demo showing how easy it is to get started.
by Mark Little
The traditional role of middleware in the data center has been challenged to expand and meet the ubiquitous computing demands becoming more prevalent. The way applications are built, deployed, integrated and managed must accommodate the rapidly evolving mobile and cloud paradigms, without sacrificing security or performance.
Open Standards, and a more agile stewardship of the Java Community Process will enable developers, architects and IT executives increase return on their existing IT investment and spur innovation in next generation application environments.
Please join Dr. Mark Little, Sr. Director Middleware Engineering, as he discusses Red Hat's vision for how JBoss Enterprise Middleware will drive social, mobile and cloud computing.
by Adrian Cole
Developers want to release code as fast as possible. Compute clouds want developers to release code to them. This is a story about how these two goals converge.
The jclouds project formerly used JBoss AS6 to perform functional testing of compute clouds. We felt running an application server is a pretty useful model for what developers look to achieve. When we moved to JBoss AS7, we were expecting a relatively smooth update. In reality, we found a surprising performance story!
This presentation will review performance considerations when deploying application servers across multiple cloud providers. We'll discuss to install, bootstrap, and reboot time that affect your agility with real numbers on over a dozen compute clouds like Amazon EC2.
This is a no-hype talk: when you leave, you'll know how to make your own jclouds tests to test your cloud deployment of choice.
31st October to 1st November 2011