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Articles for the keywords: Cluster
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04 Jun 2012
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Improved Throughput and Response Time of SPARC T4-2 [26518]
Running a Java EE Application Server Cluster
In a well documented post on how he achieved improved performance on a SPARC T4-2 Server Jeff Taylor explains that, as a result of running a Java EE Application Server Cluster by deploying the cluster members into Oracle Solaris Containers and binding those containers to cores of the SPARC T4 Processor, both throughput and response times improved appreciably. The post includes both "before" and "after" results of tests with and without processor binding.
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30 May 2012
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Performance Testing of MySQL Cluster 7.2 [26460]
Using the flexAsynch Benchmark
Using the flexAsynch benchmark MySQL Cluster 7.2 delivered 1.2 billion update operations per minute across a cluster of 30 x commodity Intel Xeon E5-based servers, Mat Keep reports. FlexAsynch is an open source, highly adaptable test suite that can be downloaded as part of the MySQL Cluster source tarball, according to Keep. An automated tool is available to run the benchmark, he continues, with full instructions documented in the README file. The tarball also includes the scripts to run the benchmark, and are further described on the MySQL benchmark page. Keep explains how to use flexAsynch performance evaluations.
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30 May 2012
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MySQL Cluster 7.2: Over 8x Higher Performance than 7.1 [26462]
Includes Increase in Utilization Levels
The scalability enhancements delivered by extensions to multi-threaded data nodes enable MySQL Cluster 7.2 to deliver over 8x higher performance than the previous MySQL Cluster 7.1 release, Mat Keep posts. As a result, he continues, the multi-threaded data node extensions not only serve to increase performance of MySQL Cluster, they also enable users to achieve significantly improved levels of utilization from current and future generations of massively multi-core, multi-thread processor designs. Keep enumerates the next generation web services enabled by the release and notes the improvements in cross datacenter scalability and ease of use.
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30 May 2012
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Gemalto Mobile Payment Platform on Oracle T4-2 Server [26464]
Demonstrates Impressive Performance, Scalability
Gemalto, whose solutions for mobile financial services are deployed at over 70 customers worldwide, demonstrated outstanding performance and scalability using a clustered environment on a mid-range 2x2.85GHz T4-2 Server (16 cores total, 128GB memory) for the application tier, and an additional dedicated Intel-based (2x3.2GHz Intel-Xeon X4200) Oracle database server. The platform processed more than 1,000 transactions per second, limited only by database capacity. Near linear scalability was observed by increasing the number of application software components in the cluster. Results show an increase of nearly 300% in processing power and capacity on the new T4-based servers.
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23 May 2012
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How to Upgrade to Oracle Solaris Cluster 4.0 [26378]
Using Oracle Solaris Cluster Geographic Edition Software
The path to Oracle Solaris Cluster Geographic Edition software to upgrade from an Oracle Solaris Cluster 3.3 5/11 and Oracle Solaris 10 cluster to a platform based on Oracle Solaris Cluster 4.0 and Oracle Solaris 11 with minimum downtime is outlined in a post by Tim Read, who has prepared an eight-part map to the process. Oracle Solaris Cluster Geographic Edition enables manual initiation of an automated sequence of steps that control application start and stop commands and the direction of data replication, Read explains.
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