We are entering into a world of connected devices. Internet of Things(or IoT), which is slowly being accepted across the globe is expected to speed up and reach to a user base of 26 billion connected devices by 2020, says a recent report released by Gartner.
These devices are going to generate huge amount of data that needs to be processed and analysed in real time, that is likely to put more pressure on data centers, highlights the report.
“IoT deployments will generate large quantities of data that need to be processed and analyzed 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.”
IoT service suppliers is expected to generate USD 300 billion in revenue. But on the same time, the overwhelming amount of data is believed to scrutinize user privacy. According to Joe Skorupa, vice president and distinguished analyst at Gartner, there will be a vast amount of data from IoT devices providing information about a user’s behaviour.
This however, is particularly challenging, as information generated by IoT is the key to bringing better services. The report further mentions that if the information about a user’s personal use of devices is not secured – privacy breach cases could be a common sight.
“The recent trend to centralize applications to reduce costs and increase security is incompatible with the IoT. Organizations 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,” claimed Skorupa.
To handle such problems, Biscotti suggested that data centre providers need to implement capacity management platforms that can include data center infrastructure management system (DCIM) which aligns IT and operational technology standards. “This will provide production facility to process IoT data points based on the priorities and the business needs,” added Biscotti.
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