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December 16, 2005
MySpace, developers of the Myspace.com lifestyle portal, has made an initial deployment of 20 terabytes of Isilon IQ clustered storage to meet the media consumption demands of its more than 40 million members. With the growth in its number of users and their time spent on the site, MySpace has become the third ranked site in terms of page views in October 2005, according to comScore Media Metrix. In order to accommodate the 24x7 user consumption of its wide ranging catalog of media content and user profiles, MySpace selected Isilon IQ clustered storage to provide the levels of scalability and performance needed to sustain its growth.
"Our media delivery and storage needs are tripling every year and this presented a challenge for our traditional storage systems," said Aber Whitcomb, CTO, MySpace. "Isilon IQ is a critical part of our infrastructure -- the performance, scalability and cost savings we realize with Isilon IQ will help fuel the next wave of our development."
MySpace switched to Isilon IQ clustered storage to support both music label and user-generated streaming and downloadable media programming. Originally using legacy SATA arrays, MySpace found that their traditional storage systems could not accommodate the growth of their data storage. Using Isilon IQ clustered storage, MySpace was able to unify its catalog of media programming into one file system, providing flexibility to scale capacity to meet rapid growth while recognizing cost savings and realizing operational leverage of its IT staff.
"MySpace is experiencing unfathomable levels of growth, both in users and in media content, providing a perfect example of the massive growth of digital content and unstructured data driving explosive stores of data in both the consumer and enterprise markets," said Brett Goodwin, VP of Marketing and Business Development, Isilon Systems. "Isilon IQ has enabled MySpace to leave behind its cumbersome legacy storage systems in favor of a revolutionary new storage architecture designed from the ground up for highly scalable, performance-driven businesses."
In quieter times, sounding the bell of funding big science with big systems tends to resonate further than when ears are already burning with sour economic and national security news. For exascale's future, however, the time could be ripe to instill some sense of urgency....
In a recent solicitation, the NSF laid out needs for furthering its scientific and engineering infrastructure with new tools to go beyond top performance, Having already delivered systems like Stampede and Blue Waters, they're turning an eye to solving data-intensive challenges. We spoke with the agency's Irene Qualters and Barry Schneider about..
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).
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 22, 2013 |
At some point in the not-too-distant future, building powerful, miniature computing systems will be considered a hobby for high schoolers, just as robotics or even Lego-building are today. That could be made possible through recent advancements made with the Raspberry Pi computers.
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 15, 2013 |
Supercomputers at the Department of Energy’s National Energy Research Scientific Computing Center (NERSC) have worked on important computational problems such as collapse of the atomic state, the optimization of chemical catalysts, and now modeling popping bubbles.
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.
04/15/2013 | Bull | “50% of HPC users say their largest jobs scale to 120 cores or less.” How about yours? Are your codes ready to take advantage of today’s and tomorrow’s ultra-parallel HPC systems? Download this White Paper by Analysts Intersect360 Research to see what Bull and Intel’s Center for Excellence in Parallel Programming can do for your codes.
In this demonstration of SGI DMF ZeroWatt disk solution, Dr. Eng Lim Goh, SGI CTO, discusses a function of SGI DMF software to reduce costs and power consumption in an exascale (Big Data) storage datacenter.
The Cray CS300-AC cluster supercomputer offers energy efficient, air-cooled design based on modular, industry-standard platforms featuring the latest processor and network technologies and a wide range of datacenter cooling requirements.