October 13, 2010
BELLEVUE, WA., October 13, 2010 -- Xeround today announced that its beta, always-on platform is available on the Amazon cloud. Due to the growing demand for a scalable, elastic and no-fail platform, nearly 300 companies and developers are currently using Xeround's beta program. Now anyone, including users deploying Amazon RDS and/or running MySQL on Amazon, can simply transition to using Xeround's database by changing the connection address, loading the schema and running it.
"Amazon is the leader in cloud computing, and today we're offering our users a choice between having their databases reside in our own data center or Amazon's," said Razi Sharir, CEO of Xeround. "Given its unique ability to run anywhere, Xeround's technology and features make it the best choice for a database within a cloud infrastructure."
Xeround's flagship product, an in-memory database, is a result of several years of development and successful deployments in telecommunications operations environments, resulting in Xeround's guarantee of continuous service during schema changes, resource modifications and the scaling process. Based on a patented technology, Xeround's service utilizes virtual partitions where data partitions are decoupled from physical resources. These virtual partitions hold a (configurable) number of copies of both the data and the indexes in order to ensure high availability and performance.
Xeround encourages those seeking a highly scalable and available Database-as-a-Service (DBaaS) to sign up for their private beta: http://www.xeround.com/getting-started/
Xeround, Inc. provides a fully scalable and highly available database software for public and private clouds. The product is well geared to IaaS, PaaS and SaaS providers. The company is based in Bellevue, Wash. with research and development in Israel. Investors include Benchmark Capital, Giza Venture Capital, Ignition Partners and Trilogy Partnership. For more information please visit http://xeround.com
Large-scale, worldwide scientific initiatives rely on some cloud-based system to both coordinate efforts and manage computational efforts at peak times that cannot be contained within the combined in-house HPC resources. Last week at Google I/O, Brookhaven National Lab’s Sergey Panitkin discussed the role of the Google Compute Engine in providing computational support to ATLAS, a detector of high-energy particles at the Large Hadron Collider (LHC).
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.
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.
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.
May 10, 2013 |
Australian visual effects company, Animal Logic, is considering a move to the public cloud.
May 10, 2013 |
Program provides cash awards up to $10,000 for the best open-source end-user applications deployed on 100G network.
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.