August 31, 2010
It is becoming increasingly important for IT decision markers to make sure that enterprise architects are creating application delivery strategies that can be delivered across several different platforms as it is becoming clear that we are existing the long age of “this is what we have, so this is what we’ll always use” phase of infrastructure. With the robust arrival of cloud and cloud-driven mobile devices (which are another extension of the everything-as-a-service paradigm) being flexible no longer refers to scale, it increasingly refers to application delivery.
Today, CIO Magazine reminded us of the Gartner prediction that by 2012, up to 20 percent of companies will not own any of their own infrastructure since most IT leaders will have outsourced all of their needs to the cloud. If this is truly going to be the case, we can only imagine that the number of devices and platforms being used will continue to evolve and change, thus it is critical to architect for such evolution.
As the CIO of Proctor and Gamble noted, “No longer can we pick a hardware platform and expect to live with it exclusively, or even for very long. IT leaders must conceive a technology architecture flexible enough to deliver enterprise applications—sometimes the same single application—in several ways…this includes running apps in others’ data centers and in the palms of people’s hands.”
Full story at ComputerWorld
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.
In this week's hand-picked assortment, researchers explore the path to more energy-efficient cloud datacenters, investigate new frameworks and runtime environments that are compatible with Windows Azure, and design a uniﬁed programming model for diverse data-intensive cloud computing paradigms.
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.