March 2010
Intermediate to advanced
408 pages
9h 59m
English
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Summary
In this chapter we have looked at three powerful ways to leverage the processing power of the whole cluster to execute tasks in parallel.
We discussed entry processors, which provide a way to bring processing closer to the data and significantly reduce the network bandwidth requirements of the application. When used properly, they can have a huge impact on both performance and scalability of the application. You should always look for the opportunities to replace inefficient client-side code with entry processors.
We also talked about the Invocation Service, which allows you to encapsulate custom logic into agents that can be targeted for execution on one or more members of the cluster.
Finally, we discussed clustered implementation of the ...
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O’Reilly covers everything we've got, with content to help us build a world-class technology community, upgrade the capabilities and competencies of our teams, and improve overall team performance as well as their engagement.Julian F.
I wanted to learn C and C++, but it didn't click for me until I picked up an O'Reilly book. When I went on the O’Reilly platform, I was astonished to find all the books there, plus live events and sandboxes so you could play around with the technology.Addison B.
I’ve been on the O’Reilly platform for more than eight years. I use a couple of learning platforms, but I'm on O'Reilly more than anybody else. When you're there, you start learning. I'm never disappointed.Amir M.
I'm always learning. So when I got on to O'Reilly, I was like a kid in a candy store. There are playlists. There are answers. There's on-demand training. It's worth its weight in gold, in terms of what it allows me to do.