February 08, 2013
SAN FRANCISCO, Feb. 7 — Cloudscaling, the leading elastic cloud infrastructure software company, today released Open Cloud System (OCS) 2.0 for general availability in production deployments.
The new version adds features that include OpenStack Folsom support and a new elastic block storage option. OCS Block Storage is a network attached disk solution that provides persistent, expandable and elastic block-level storage volumes. Volumes can be attached to a running instance and exposed as a device within the instance. Cloudscaling also developed an OCS Block Storage scheduler that maximizes volume dispersion on a per-tenant basis, which improves fault tolerance by reducing the impact of infrastructure failures on tenant volumes.
“Enterprise organizations across industries, web application providers and service providers increasingly are asking for a private elastic cloud infrastructure solution to support new applications in order to modernize their infrastructure,” said Michael Grant, CEO of Cloudscaling. “As a production-grade elastic cloud solution, Open Cloud System is positioned to capitalize on this trend.”
Cloudscaling customers include enterprises, web application providers and service providers. Sales activity has accelerated since the October unveiling of version 2.0, and Cloudscaling recently expanded its executive team to address the ramp-up direct sales, channels, engineering and product management activity.
“Technology such as Cloudscaling’s Open Cloud System enables enterprise, service provider and webscale organizations to run their own on-premise elastic cloud infrastructure and manage it effectively by going beyond public cloud APIs,” said Jay Lyman, 451 Research senior analyst. “These organizations are also seeking to leverage their existing investment and deployment in public clouds, highlighting the importance of hybrid cloud management capability that federates clouds such as Amazon Web Services and Google Compute Engine.”
Cloudscaling has built elastic cloud deployments for KT, Internap and others. The company was one of the founding community members and an early, public supporter of OpenStack. The company is a charter Gold Corporate Sponsor of the OpenStack Foundation, and co-founder Randy Bias has served on the board since its formation. Cloudscaling is a top-ten code contributor, including ZeroMQ messaging, RPC abstraction layer, APIs for Google Compute Engine and security improvements.
“General availability of OCS version 2.0 is a major milestone,” said Randy Bias, co-founder and CTO of Cloudscaling. “As far as we are aware, we’re the only company to ship an elastic cloud infrastructure software solution built on OpenStack technology for public or private deployments.”
“The OpenStack community continues to grow, and more products based on the software are reaching the market at an accelerating pace,” said Jonathan Bryce, executive director of the OpenStack Foundation. “Cloudscaling was an early supporter of OpenStack and is a strong contributor. The general availability of its OpenStack-powered OCS 2.0 underscores the project’s momentum.”
Cloudscaling is the leading elastic cloud infrastructure company, delivering production-grade cloud software for on-premise Infrastructure as a Service (IaaS). The company’s core product, Open Cloud System (OCS), is powered by OpenStack and designed to meet the requirements of next-generation dynamic applications. OCS delivers the agility, performance and economic benefits of leading public cloud providers, but deployable in the customer’s data center and under the IT team’s control. Cloudscaling is backed by Trinity Ventures and headquartered in San Francisco.
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.