Future Solutions to Big Data Requirements

Two news items, the first on a cloud computing environment distributed over PCs contributing their available storage and computing capacity as a cost- and energy-efficient solution to processing an exabyte (1 billion gigabytes) a day of raw data; the second on a storage device thousands of times faster than hard drives.

Key players behind the Australian-New Zealand joint bid to host the $2.1 billion Square Kilometre Array radio telescope will launch a grid Cloud computing initiative by September with the aim of potentially harvesting the computing and storage power of desktops worldwide. The project is expected to deliver up to an exabyte a day of raw data, compressed to some ten petabytes of data in images for storage.

Researchers at the University of California, San Diego (UCSD) have developed Moneta, a phase-change memory (PCM) solid state storage device that is thousands of times faster than conventional hard drives and up to seven times faster than current solid-state drives (SSDs). The technology could be ready for market in a few years as improvements are made to the underlying phase-change system.

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About GilPress

I launched the Big Data conversation; writing, research, marketing services; https://whatsthebigdata.com/ & http://infostory.com/
This entry was posted in Challenges, Cloud Computing, Scientific applications, Storage. Bookmark the permalink.

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