April 03, 2012
GCE's Big Data framework enables government agencies and organizations to rapidly and cost effectively store, manage, and analyze growing volumes of data
RESTON, Va., April 3 — GCE today announced its SMART Cloud for Big Data and Analytics – a Big Data framework for storing and managing data and a toolset for performing consumer-grade search and analysis on that data.
GCE, a Cloud pioneer in the Federal market, built the SMART Cloud solution using open-source technologies such as Hadoop, the Apache open-source tools developed by industry leaders. With this solution, business users are empowered to Search, Mash, Analyze, Research, and Target their data – posing questions and exploring results with unprecedented speed and scale. The GCE solution is ideally suited for both government agencies and commercial enterprises struggling to gain rapid insight from large volumes of data. GCE's Big Data solution is hosted on the GCE Cloud and requires no capital investment.
The Obama Administration announced its "Big Data Research and Development Initiative" last week – reinforcing the role that innovative tools and technologies can play ushering in new ways to harness, analyze, and extract actionable insights from the growing volume of digital data. GCE has already deployed its SMART Cloud solution for several customers of its financial management and procurement data Clouds.
"Today we all have consumer-grade expectations when it comes to extracting meaningful information from our business systems, however, existing enterprise-grade solutions cannot match these expectations," says Ray Muslimani, GCE president and CEO. "The GCE SMART Cloud delivers the ability to search and analyze the data with the same intuitive tools and performance expectations consumers take for granted."
For more than a decade, GCE has been an established industry leader in the development of innovative cloud solutions. The GCE Cloud offers a wide range of business services, including financial management, asset management, procurement, Big Data, and litigation support services. For more information, visit the company at http://www.GCEcloud.com.
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.
The private industry least likely to adopt public cloud services for data storage are financial institutions. Holding the most sensitive and heavily-regulated of data types, personal financial information, banks and similar institutions are mostly moving towards private cloud services – and doing so at great cost.
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.
May 10, 2013 |
Australian visual effects company, Animal Logic, is considering a move to the public cloud.
May 10, 2013 |
Program provides cash awards up to $10,000 for the best open-source end-user applications deployed on 100G network.
May 08, 2013 |
For engineers looking to leverage high-performance computing, the accessibility of a cloud-based approach is a powerful draw, but there are costs that may not be readily apparent.
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.