March 12, 2013
PALO ALTO, Calif., March 12 — VMware, Inc., the global leader in virtualization and cloud infrastructure, today announced that NaviSite, a Time Warner Cable Company, and a leading provider of enterprise-class, cloud-enabled hosting, managed applications and services, is taking the next step on the journey to the software-defined data center by deploying VMware's network virtualization solutions. By decoupling the network from underlying hardware, network virtualization transforms the operational model of networking enabling NaviSite to respond to opportunities more rapidly while dramatically lowering operational and capital expenses.
"NaviSite delivers state-of-the-art cloud services to very demanding customers expecting superior service and support," said David Grimes, CTO of NaviSite. "VMware network virtualization enables NaviSite to break free from the physical constraints of traditional networking to deliver services to these customers in minutes versus days."
NaviSite virtualized its existing network converting the physical data center infrastructure into a pool of network and compute capacity that is now consumed and repurposed on demand. Existing customer applications and systems run unchanged, and hosting customers can now migrate application workloads more easily to NaviSite's cloud.
"Leading edge companies are focused on improving the pace of how they operate and serve their customers while lowering costs," said Hatem Naguib, vice president of Cloud Networking and Security at VMware. "NaviSite's adoption of network and compute virtualization puts it on a path to a software-defined data center architecture where all physical infrastructure resources are virtualized and delivered as a service to achieve agility and operational efficiency."
Network virtualization addresses one of the final barriers to achieving the agility of cloud computing — the network — by enabling the dynamic creation of virtual networks that are completely decoupled and independent from the physical network hardware. Much like server virtualization decouples virtual machines from the underlying x86 server hardware to transform the operational model of compute, network virtualization decouples software-based virtual networks from the underlying network hardware to enable a new operational model for networking.
NaviSite, Inc., a Time Warner Cable Company, is a leading international provider of enterprise-class, cloud-enabled hosting, managed applications and services. NaviSite provides a full suite of reliable and scalable managed services, including Application Services, industry-leading Enterprise Hosting, and Managed Cloud Services for organizations looking to outsource IT infrastructures and helps lower their capital and operational costs. Enterprise customers depend on NaviSite for customized solutions, delivered through a global footprint of state-of-the-art data centers.
VMware is the leader in virtualization and cloud infrastructure solutions that enable businesses to thrive in the Cloud Era. Customers rely on VMware to help them transform the way they build, deliver and consume Information Technology resources in a manner that is evolutionary and based on their specific needs. With 2012 revenues of $4.61 billion, VMware has more than 480,000 customers and 55,000 partners.
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.