December 17, 2007
SAN JOSE, Calif., Dec. 11 --
Continuent Inc., the leading provider of commercial open source
middleware solutions for database high-availability and scalability,
today announced new versions of Continuent uni/cluster for PostgreSQL
and Continuent uni/cluster for MySQL with enhanced database scaling and
ease of deployment in large-scale production environments. Continuent
uni/cluster is a suite of middleware software that delivers
high-availability and scalability clustering for virtually any
mission-critical database application.
The key enhancements of release 2007.1 are:
"Release
2007.1 has a number of important usability features such as easier
configuration file layout, documentation improvements, and improved
installation with error checking. For MySQL, we have added support for
stored functions that contain writes. For PostgreSQL, we introduced
support for PostGIS functions," said Eero Teerikorpi, CEO at
Continuent. "And last but not least, we have the new uni/cluster
Connector. It is an innovative SQL proxy that allows MySQL and
PostgreSQL native clients to connect transparently to Continuent
uni/cluster database clustering without changes to application code or
library changes."
About Continuent
Continuent
provides continuous data availability. Continuent develops and markets
commercial Continuent uni/cluster products and services based on
Sequoia, a database-neutral, open source database-clustering project (www.continuent.org).
Continuent's commercial open source solutions are currently available
for EnterpriseDB, MySQL and PostgreSQL. Continuent's Sequoia open
source solutions are available for Microsoft SQL Server, Oracle, IBM
DB2 and Sybase. Continuent is headquartered in San Jose, Calif., with
research labs in Finland and France. For more information, visit www.continuent.com.
Frank Ding, engineering analysis & technical computing manager at Simpson Strong-Tie, discussed the advantages of utilizing the cloud for occasional scientific computing, identified the obstacles to doing so, and proposed workarounds to some of those obstacles.
Read more...
The private industry least likely to adopt public cloud services for data storage are financial institutions. Holding the most sensitive and heavily-regulated of data types, personal financial information, banks and similar institutions are mostly moving towards private cloud services – and doing so at great cost.
Read more...
In this week's hand-picked assortment, researchers explore the path to more energy-efficient cloud datacenters, investigate new frameworks and runtime environments that are compatible with Windows Azure, and design a unified programming model for diverse data-intensive cloud computing paradigms.
Read more...
May 16, 2013 |
When it comes to cloud, long distances mean unacceptably high latencies. Researchers from the University of Bonn in Germany examined those latency issues of doing CFD modeling in the cloud by utilizing a common CFD and its utilization in HPC instance types including both CPU and GPU cores of Amazon EC2.
Read more...
May 10, 2013 |
Australian visual effects company, Animal Logic, is considering a move to the public cloud.
Read more...
May 10, 2013 |
Program provides cash awards up to $10,000 for the best open-source end-user applications deployed on 100G network.
Read more...
May 08, 2013 |
For engineers looking to leverage high-performance computing, the accessibility of a cloud-based approach is a powerful draw, but there are costs that may not be readily apparent.
Read more...
05/10/2013 | Cleversafe, Cray, DDN, NetApp, & Panasas | From Wall Street to Hollywood, drug discovery to homeland security, companies and organizations of all sizes and stripes are coming face to face with the challenges – and opportunities – afforded by Big Data. Before anyone can utilize these extraordinary data repositories, however, they must first harness and manage their data stores, and do so utilizing technologies that underscore affordability, security, and scalability.
04/02/2012 | AMD | Developers today are just beginning to explore the potential of heterogeneous computing, but the potential for this new paradigm is huge. This brief article reviews how the technology might impact a range of application development areas, including client experiences and cloud-based data management. As platforms like OpenCL continue to evolve, the benefits of heterogeneous computing will become even more accessible. Use this quick article to jump-start your own thinking on heterogeneous computing.