December 12, 2012
SOUTHBOROUGH, Mass., Dec. 12 –
What: Cloud computing is emerging as a way to handle the large amounts of data faced by today’s organizations, but many questions remain about the best ways to achieve scale, efficiency and innovation with cloud storage.
At this year’s UP Cloud Computing Conference, GlassHouse Technologies, a global provider of IT infrastructure consulting and managed services, will participate in a panel to help address what enterprises need to know about maximizing the benefits of cloud storage.
Why: Organizations are growing more aware that the cloud is the new standard in storage, but they face a serious challenge in choosing the right cloud storage services. How can they know which approach best suits their business, especially in an environment where the volume of unstructured data keeps growing? By looking at trends like Big Data and their impact on the enterprise, best practices can be determined to help organizations gain the most return on investment in cloud storage.
Where: The UP Cloud Computing Conference is being held December 12, 2012 at the South San Francisco Conference Center. The panel, “Cloud Storage: Trends and Future Outlooks,” will take place in the Baden Room.
When: Wednesday, December 12, 2012 at 1:35 p.m. PST
Who: Ken Copas, cloud practice director at GlassHouse Technologies, educates clients on the concepts that drive cloud computing and service provider models. His experience includes serving as a business development executive with IBM and as an IT executive for NetJets. Ken has written extensively on cloud and is a frequent contributor to WIRED.com.
About GlassHouse Technologies
GlassHouse guides customers through the complexities of cloud, data center, security and workspace through vendor-independent infrastructure consulting and managed services. We consider the people, processes, policies and technology already in place, and then create a customized plan that mitigates downtime, compliance risks and improves efficiency, driving business rather than technology outcomes.
Source: GlassHouse Technologies
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.