IBM Systems Magazine, Mainframe - May/June 2017 - 14
How IBM researchers use machine learning to make storage smarter
ith the goal of helping us learn more about the universe, IBM and the
Netherlands Institute for Radio Astronomy (ASTRON) are collaborating on
the IT roadmap behind the Square Kilometre Array (SKA), which will be
the largest radio telescope in the world (bit.ly/2iywTpL).
is a senior writer
for IBM Systems
Magazine and has
As part of this effort, called the
DOME project, IBM developed
a pizza-box-sized data center
that uses a fraction of the energy
required by a typical data center
to lower SKA computing costs
(bit.ly/2jWgHut). Now, IBM
is working on the best way to
access and analyze the petabytes
of data the SKA will gather daily.
IBM Systems Magazine sat
down with Vinodh Venkatesan
and Giovanni Cherubini, IBM
14 // MAY/JUNE 2017 ibmsystemsmag.com
data storage scientists, who
explain why the best way likely
involves cognitive storage.
Inspired by the human brain,
cognitive storage uses a combination of both data popularity and
value. This means users can teach
storage systems what to remember and what to forget, which can
significantly lower storage costs,
whether cognitive storage is used
to scan the universe or track customer behavior.
IBM Systems Magazine (ISM):
How is the DOME project
related to cognitive storage?
Vinodh Venkatesan (VV): Our
DOME project partner, ASTRON,
is part of a consortium that's
designing and building the SKA.
When it's finished by 2024, one
of the main challenges will be the
amount of data ASTRON is planning to collect-close to a petabyte a day. At these data ingestion
rates, the storage system cost