January 25, 2013
HONG KONG, Jan. 25 – In addition to physical capacity, Host Virtual added dedicated connectivity to Europe, joined the local Hong Kong Internet Exchange (HKIX), and expanded its US and China direct bandwidth.
“We’re pleased to continue our investment in our Hong Kong Cloud,” said Sandy Bhargavi, Sr. Vice President for Host Virtual, Inc. “We’re seeing tremendous demand from businesses looking to reach China and Hong Kong plus mainland businesses expanding throughout the world from this location.”
Host Virtual has a unique investment in Asia, having built clouds that span India & China, along with premium, low latency connectivity and local support. The expansion in Hong Kong follows closely on additional investments in India earlier in the month.
The Host Virtual, Inc Cloud allows customers to easily deploy over 300 Linux, FreeBSD, VOIP and Hosting appliances in just a few minutes, with native dual-stack IPv4 and IPv6 support to any of its 11 worldwide locations.
Combined with advanced tools and services, such as BGP AnyCast, Load Balancing, and worldwide CDN support Host Virtual provides a seamless IaaS (Infrastructure as a Service) base for its customers.
In addition to its public cloud options, Host Virtual compliments its services with managed cloud hosting, dedicated private/public clouds, white-label cloud solutions and consulting.
About Host Virtual, Inc.
Host Virtual, Inc. is a cloud hosting provider that operates dual-stack IPv4 and IPv6 IaaS clouds worldwide. Built around scalability, self-service and ease of use, Host Virtual customers can deploy Linux, VOIP or FreeBSD servers to any location within minutes. Free from the hassle of complicated, pay-per-minute or per-resource plans, Host Virtual customers can deploy to any of its cloud locations with unlimited usage for a low, flat monthly fee starting at under $10 per month.
Source: Host Virtual
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.