Sun will post the code to High Availability Clusters community on OpenSolaris.org in three phases, the first being a set of 24 high availability agents.
Hadoop is a distributed computing platform that provides a framework for storing and processing petabytes of data. Because it is Java-based, Hadoop runs on Linux, Windows, Solaris, BSD, and Mac OS X. Hadoop is widely used in organizations that demand a scalable, economical (read commodity hardware), efficent, and reliable platform for processing vast amounts of data.
Some cloud computing vendors, such as 3tera and Nirvani, push their own proprietary platforms and tools, which forces adopters to limit their options and work in a restricted or closed architecture. When these established vendors say cloud, they mean their cloud. As a result, Web developers may believe that, in order to use cloud computing, they must accept limitations in the way they write and build their applications. But that view is a misconception; open standards for cloud computing are already in place and are being tweaked.
Cluster computing has played a pivotal role in the way research is conducted in educational environments. Because the amount of available money and hardware varies between university researchers, often it's necessary to find a clustering solution that can work well on a small scale, but also can be expanded into a large computing cluster. To maximize grants, researchers typically ask for an open source solution to meet their needs. Despite the lack of certain desirable features, Rocks clusters are among the best open source solution for building a computing cluster.
Managing disk space used to be a royal pain for admins and users. Running out of disk space often meant reinstalling Linux or spending a few hours with tools like Parted to resize partitions. However, using the Logical Volume Manager (LVM) tools, you can grow, shrink, and manage disk space with very little hassle.