siliconindia | | May 20208IN MY OPINIONHOW DATA CENTERS WILL EVOLVE TO BECOME SMARTER AS IOT SPREADS ITS WINGSA Paradigm Shift of Data Center ArchitectureThere has been an immense change in the technology topography in last few years and that is not only convincing us to change the way we do business but also influencing our lifestyle. Right from our mobile phones to home appliances and cars, everything is getting smarter by the day with the introduction of Internet of Things (IoT). These IoT enabled devices simply capture a continuous stream of data from its surroundings and push it to the backend applications or ERP systems so that appropriate actions can be performed based on this input.The major advantage of IoT based Data capture is that we can understand a problem as soon as they occur and sometimes even before that, based on the pattern of data and that helps us in addressing the issue ahead of time. The challenge that comes associated with this is, the Data Centers handling such massive amount of data, would require a major shift in their model to deal with IoT based transactions. At present, Data Centers are looked as a source of data repository and the applications connected to them, fetch the required information as needed. With the advent of IoT enabled devices, the Data Centers will be working like a Hub in the middle of a two way datahighway where they will manage both the huge inflow and outflow of data.As per IDC, the Worldwide Technology Spending on the Internet of Things would reach USD 1.7 Trillion by 2022 and by 2025, the number of connected devices may shoot up to 80 billion worldwide. To manage this enormous pool of data, Data Centers would need a paradigm shift in their architecture.How AI can play a big role in this contextWith the new architecture where the Data Centers are expected to handle both massive upstream and downstream data, two distinct problems will arise:· Technical challenge to handle this huge data inflow· Significantly high cost to the Organizations, who are subscribed to cloud platforms and are charged based on the volume of data processed and consumedIt is virtually impossible to store the massive amount of data which the IoT devices will continually produce. Therefore, it is important to have a smart algorithm in place even before the data reaches to Data Centers to filter out the noisy data which do not play a role in decision making process. GE's Edge Computing Framework does exactly that.The Edge Computing Framework creates a layer between the data sources (IoT devices) and the Data Centers, does an analysis of the mined data and only allows the data, which is required for decision making process of downstream systems, to reach Data Centers. This way, it is ensured that Organizations use their Data Center infrastructure only for processing the required data despite of capturing a huge data volume through the connected IoT devices. For an example, an offshore oil rig would have around 25,000 to 30,000 sensors and will measure numerous ambient conditions like temperature, pressure, By Shantanu Chaudhuri, AVP and Competency Head ­ Oracle Cloud, Digital Solutions and AutomationTech Mahindra LimitedShantanu is a seasoned IT professional with more than 23 years of solid experience in Digital and Cloud CoE and Parctice management, Consulting, Delivery Leadership, Presales, Automation and Innovation. In his current role, Shantanu focuses on enhancing the Digital footprint and revenue share of Oracle Competency through IoT, Blockchain and other cutting edge solutions on Oracle Cloud.
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