The Oracle-Sun downloads page offers the latest downloads along with a list of the top software visitors have downloaded. The page also offers its featured downloads, such as Java, NetBeans, GlassFish, JavaFX, OpenOffice.org, VirtualBox, and more. This article lists the most recent and top downloads, and links to access them.
The nature and functions of Service Domain Manager (SDM), an add-on component for Sun Grid Engine 6.2u5, are described in DanT's GridBlog. He writes that SDM is designed to allow for services of all types to share resources with each other. He explains that each cluster has a set of performance metrics specified via service level objectives (SLOs). If at any point a cluster is in violation of its SLOs, it appeals to the SDM resource provider service for additional resources. The resource provider will look for resources wherever they're available and, finding them, will re-assign the resources to the cluster in need.
Rebranding has begun for Sun products. One of note is the Solaris Operating System, which now reads as Oracle Solaris. This name change filters down to associated products such as Sun Studio, which now is officially called the Oracle Solaris Studio. In regards to Oracle Solaris, Barbara Darrow with SearchEnterpriseLinux.com, identifies it as Oracle's new high-end data center appliances running the Oracle software stack, while Vijay Tatkar discusses the newly named Oracle Solaris Studio.
The benefits of having compact entries in the database are available today with Sun Directory Server Enterprise Edition 7 and Sun OpenDS Standard Edition 2.2, writes Ludovic Poitou in his blog "Sun Directory Compresses Data for Better Performance," adding that both solutions are helping customers to reduce the overall cost of ownership of the directory services.
The benefits of building topology-aware scheduling into Sun Grid Engine 6.2 update 5 are explained in a blog entry by Dan Templeton. Given that an average OS does context switches at a rather high frequency, an application may find itself executing on a different CPU and core every time it gets the chance to run. If that application makes any use of the CPU cache, for example, its performance will suffer for it. The performance might not suffer much, but the difference is usually measurable. Hence, the virtues of topology-aware scheduling.
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