March 14, 2013
RESTON, Va., March 14 — ServInt, a pioneering provider of managed cloud hosting for businesses worldwide, today announced the latest in a series of planned upgrades to its auto-scaling Java and PHP Jelastic cloud service: the addition of Apache TomEE. Apache TomEE is one of the fastest and the most user-friendly, enterprise-ready application servers available.
"We are fulfilling a promise we made in concert with Jelastic last year to bring TomEE and Java EE compliance to our cloud platform," said ServInt CTO Matt Loschert. "Jelastic is quickly becoming the go-to cloud service for Java programmers, and TomEE is the natural next step."
David Blevins, founder of the TomEE project, said, "Jelastic's support of Tomcat has always been top-notch, and its support of TomEE demonstrates true vision. TomEE joins the family of Tomcat, Glassfish, Jetty, Apache and NGINX already offered by Jelastic."
Blevins added, "Jelastic isn't simply combining the usual suspects into a platform that is identical to all other cloud platforms. They have put a significant amount of time into offering TomEE users the best experience possible. It's very tightly integrated with the functionality of all the other layers of their stack, including load-balancing, replication, persistence to SQL or NoSQL databases, and more. Jelastic's integration of TomEE is the best I've seen."
Unlike other JEE application servers, TomEE avoids architecture overhead and stays lightweight and as simple as possible. With TomEE in ServInt's Jelastic cloud, developers benefit from:
Jelastic, Inc., based in Palo Alto, Calif., offers a Java and PHP server hosting platform for developers and hosting service providers. Jelastic is the only Platform-as-a-Service (PaaS) offering designed specifically for hosting service providers to deploy and make available to their customers. Jelastic automatically scales Java and PHP applications and allocates server resources, thus delivering true next-generation Java and PHP cloud computing.
ServInt is a pioneering provider of high-reliability, managed cloud hosting services for enterprises worldwide. Founded in Northern Virginia in 1995, ServInt provides a range of IaaS, PaaS, VPS and dedicated server packages to hosting service resellers, web designers, developers and online businesses in more than 130 countries.
The ever-growing complexity of scientific and engineering problems continues to pose new computational challenges. Thus, we present a novel federation model that enables end-users with the ability to aggregate heterogeneous resource scale problems. The feasibility of this federation model has been proven, in the context of the UberCloud HPC Experiment, by gathering the most comprehensive information to date on the effects of pillars on microfluid channel flow.
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.
May 23, 2013 |
The study of climate change is one of those scientific problems where it is almost essential to model the entire Earth to attain accurate results and make worthwhile predictions. In an attempt to make climate science more accessible to smaller research facilities, NASA introduced what they call ‘Climate in a Box,’ a system they note acts as a desktop supercomputer.
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.
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.