August 27, 2010
If the 3PAR saga reflects anything at this point (other than the fact that Dell and HP do indeed have unlimited stockpiles of cash) it’s that storage virtualization and related technologies and services represent a growing area of development, both within the HPC space and in the area of the SMB market.
Enterprises of all sizes are looking to storage virtualization hoping to realize reduced storage costs with the added wish that such a shift will streamline current data management. Some suggest, however, that the offerings in this realm have not matured sufficiently, at least not in comparison to widely-implemented concepts like server virtualization.
The fact that the storage virtualization arena is growing to encompass more vendors and users comes as no surprise since many enterprises are at least getting their feet wet with virtualization of one kind or another. As it stands, however, storage virtualization might not be as enterprise-ready as some would prefer. As Chris A. MacKinnon pointed out today,, “Storage virtualization is a few years behind server virtualization in its maturity cycle, so currently the biggest concern is proving the technology works efficiently.”
MacKinnon went on to note that there are a growing number of developments and innovations that are bringing the virtualization storage market up to speed and more marketable. He states that “Scale-out storage, tiered and virtualized storage, virtualized storage for cloud datacenters, and load balancing are expected to be important to the next stage of storage virtualization”
Full story at Processor.com
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.