The Internet of Things
will require a major rethinking of data center capacity management to
deal with huge data growth, according to analysts Gartner.
The Internet of Things will require a major
rethinking of data center capacity management to deal with huge data
growth, according to Gartner.
The latest research from the analyst firm
indicates that 26 billion sensors, devices and other gadgets will be
connected to the internet by 2020, driving a product and services
industry worth $300 billion (APS180 billion).
“IoT deployments will generate large
quantities of data that need to be processed and analysed in real time,”
said Fabrizio Biscotti, research director at Gartner. “Processing large
quantities of IoT data in real time will increase as a proportion of
workloads of data centers, leaving providers facing new security,
capacity and analytics challenges.”
The IoT will connect remote assets online,
and provide a data stream between these assets and centralised
management system. These assets can then be integrated into new and
existing enterprise system to provide real time information on location,
status, functionality and so forth, using data analytics.
According to Gartner the magnitude of network
connections and data enterprises will need to deal with as part of the
IoT will drive the need for distributed data centre management,
reversing trend in recent years where many large businesses have moved
to centralise data centre operations.
“IoT threatens to generate massive amounts of
input data from sources that are globally distributed. Transferring the
entirety of that data to a single location for processing will not be
technically and economically viable,” said Joe Skorupa, vice president
and distinguished analyst at Gartner.
“The recent trend to centralise applications
to reduce costs and increase security is incompatible with the IoT.
Organisations will be forced to aggregate data in multiple distributed
mini data centers where initial processing can occur. Relevant data will
then be forwarded to a central site for additional processing.”
These new architectures will present data
centre operations staff with significant challenges as they attempt
manage the influx of data as a homogenous entity across different
locations. This will create data governance issues for example, as
business will need to take a selective approach to selecting which
information will be backed up, with the storage of all raw data likely
to be prohibitively expensive.
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