J2EE Technology Main: Clustering
Articles:
- Server load balancing architectures, Part 1: Transport-level load balancing by Gregor Roth - [Clicks: 6]
A highly scalable and available server infrastructure depends on its server load balancing architecture. In this two-part article, Gregor Roth introduces server load balancing basics and discusses the pros and cons of transport-level server load balancing versus several different application-level server solutions.
http://www.javaworld.com/javaworld/jw-10-2008/jw-10-load-balancing-1.html - Oct, 2008 - Server load balancing architectures, Part 2: Application-level load balancing by Gregor Roth - [Clicks: 3]
Gregor Roth concludes his two-part introduction to server load balancing architectures with a look at a variety of application-level solutions. Application-level server load balancing architectures operate with application knowledge, and are better able to meet the business requirements of dynamic Web sites.
http://www.javaworld.com/javaworld/jw-10-2008/jw-10-load-balancing-2.html - Oct, 2008 - MapReduce programming with Apache Hadoop by Ravi Shankar, Govindu Narendra - [Clicks: 2]
Google's MapReduce framework handles massive data sets in the blink of an eye. Lucky for you, it's possible to harness similar power for your own distributed data processing needs, with the open source Java-based Hadoop.
[Includes source code]
http://www.javaworld.com/javaworld/jw-09-2008/jw-09-hadoop.html - Sep, 2008 - Scaling Your Java EE Applications - Part 2 by Wang Yu - [Clicks: 9]
In part two of this series, Wang Yu presents some surprising results of Java application scalability based on his experiences in a performance laboratory.
http://www.theserverside.com/tt/articles/article.tss?l=ScalingYourJavaEEApplicationsPart2 - Jul, 2008 - Scaling Your Java EE Applications by Wang Yu - [Clicks: 14]
Getting Java applications to scale requires an intimate understanding of the application, the JVM, and the underlying hardware. Wang Yu presents some surprising results of Java application scalability based on his experiences in a performance laboratory.
http://www.theserverside.com/tt/articles/article.tss?l=ScalingYourJavaEEApplications - Jul, 2008 - Scalability Best Practices: Lessons from eBay by Randy Shoup - [Clicks: 7]
eBay Distinguished Architect at eBay Randy Shoup explains eBay key scalability practices of partitioning, horizontal scale, avoiding XA, asynchronicity, and virtualization. eBay has hundreds of millions of users, over a billion page views a day, and petabytes of data in their systems.
http://www.infoq.com/articles/ebay-scalability-best-practices - May, 2008 - MapReduce Part II by Eugene Ciurana - [Clicks: 9]
Eugene Ciurana describes how to build a MapReduce system using the same off-the-shelf, robust, open-source components already running at your company and that your engineering team already mastered.
http://www.theserverside.com/tt/articles/article.tss?l=MapReduceRedux - May, 2008 - Implementing Master-Worker with Terracotta by James Heanly, Ben Teese - [Clicks: 11]
A real world case study of a consultancy that distributed the load & increased scalability of its applications using Terracotta using the Master/Worker pattern.
http://www.infoq.com/articles/master-worker-terracotta - Feb, 2008 - Why Should You Care About MapReduce? by Eugene Ciurana - [Clicks: 13]
This article by Eugene Ciurana explains the concept behind MapReduce, a distributed programming model developed by two engineers at Google for very scalable solutions.
http://www.theserverside.com/tt/knowledgecenter-tc/knowledgecenter-tc.tss?l=MapReduce - Feb, 2008
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