March 06, 2012
PRINCETON, NJ, March 6 — Cloud Linux Inc., an innovative software company dedicated to serving the needs of hosting service providers, today announced that SoftLayer Technologies will add the CloudLinux OS to its dedicated and cloud server offerings.
Under this agreement, shared hosting companies operating within SoftLayer's data centers will be able to purchase servers with CloudLinux pre-installed. Additionally, CloudLinux will work directly with SoftLayer's support department to make sure that customers receive prompt support for any CloudLinux related issues.
"By adding the CloudLinux OS to our arsenal, we're helping our customers to get the most out of every server through improved performance, greater virtualization density and management efficiency," said Marc Jones, director of product innovation for SoftLayer. "This new offering fits in nicely to our a la carte strategy for building out best-of-breed hosting solutions that empowers our customers to take advantage of the latest technologies while maintaining complete control over their IT environment."
The CloudLinux OS delivers major improvement in the stability and security of servers running cPanel and Plesk. CloudLinux uses Lightweight Virtual Environment (LVE) technology to control CPU, memory and concurrent connections on a per-customer basis. The LVE technology improves uptime and overall customer satisfaction by eliminating "bad-neighbor effects," in which one customer can cause performance issues for all the other customers on the server.
Key benefits of CloudLinux OS include:
"This agreement is a significant milestone for our company because working with an industry leader, such as SoftLayer, will greatly expand the reach of our distribution for CloudLinux OS," said Igor Seletskiy, Founder and CEO of Cloud Linux. "The integration of CloudLinux into the SoftLayer platform will enable customers to achieve higher stability and security for their shared hosting needs."
About SoftLayer Technologies
Headquartered in Dallas, SoftLayer operates a global cloud infrastructure platform built for Internet scale. Spanning 13 data centers in the United States, Asia and Europe and a global footprint of network points of presence, SoftLayer's modular architecture provides unparalleled performance and control, with a full-featured API and sophisticated automation controlling a flexible platform that seamlessly spans physical and virtual devices, and a global network for secure, low-latency communications. With 100,000 servers under management, SoftLayer is the largest privately held infrastructure-as-a-service provider in the world with a portfolio of 25,000 leading-edge customers from Web startups to global enterprises. For more information, visit softlayer.com or call 1.866.398.7638.
About CloudLinux
CloudLinux was founded and developed in 2009 to address the distinctive and specific needs of web hosting providers. The company headquarter is located in Princeton, NJ, and its development team composed of employees with appreciable proficiency in the hosting business is based in Donetsk, Ukraine. CloudLinux is a stable, privately funded company geared towards providing the ideal OS to make even the most intricate and divergent hosting needs more straightforward and less complicated. For more information about CloudLinux, visit http://www.cloudlinux.com.
-----
Source: Cloud Linux Inc.
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.
Read more...
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).
Read more...
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...
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...
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.