43%
18.04.2012
Solution includes pre-configured hardware to match requirements for running Cloudera’s Distribution of Hadoop. The bundle consists of one Name Node and three Data Nodes in a multi-rack architecture, along
43%
10.01.2013
as enable a new approach to the science and engineering applications that run on them.”
The XPRESS project is funded at US$ 2.3 million a year for three years by DOE’s Office of Science. The project team
43%
06.12.2012
underlying node types including either 2TB or 16TB of compressed customer data per node. One cluster can scale up to 100 nodes, and on-demand pricing starts at just US$ 0.85 per hour for a 2TB data warehouse
43%
15.02.2013
Search (GIMPS) – which is “the longest continuously running global grassroots supercomputing project in Internet history,” according to the GIMPS website.
The recently discovered largest known prime
43%
28.05.2013
winning a Jeopardy, Watson has gotten smaller and faster, with a 240 percent improvement in system performance and a 75 percent reduction in physical size. IBM says the system can now run on a single Linux
43%
28.03.2013
management systems. The role-based access control feature allows more granular management of privileges. Note that Kerberos authentication is only present in MongoDB Enterprise Edition.
MongoDB runs on most
43%
28.06.2011
, is giving up control – of the hardware, your data, and so on – to a provider.
What Is the CSA?
Ask, "What is cloud computing?" 100 times, and you'll get 100 different answers. Start asking about cloud
43%
11.11.2011
as an alternative to virtualization products such as Xen and VMware. For instance Red Hat Enterprise Virtualization is based on KVM technology. SmartOS is targeted to "everyone who runs a computer as a server
43%
17.08.2011
as an alternative to virtualization products such as Xen and VMware. For instance Red Hat Enterprise Virtualization is based on KVM technology. SmartOS is targeted to "everyone who runs a computer as a server
43%
26.01.2012
of computer science at the University of Texas at Austin says, “For companies like Google and Microsoft, which run these enormous data centers, there is a big incentive to find ways to be more power efficient
