Over the recent years, the importance of Internet of things (IoT) has been scaling up tremendously in the market. From wearables to smart homes, IoT has advanced in every organization with their trait of connecting everything. But with IoT gaining prominence, the data generated from the IoT is also increasing rapidly at the edge of the network where it may even exceed the limit of data centers. From recent estimation, by Cisco, it is noted that IoT alone will create 600 ZB data per year by 2020, which is 275 times higher than the calculated data traffic from the data centers to the end users (2.2 ZB). It is also 39 times higher than the total calculated data centre traffic (15.3 ZB).
As not all data stored in the IoT has significance, technologists have to find a way to extract the valuable data from the vast amount of data. But this extraction may vary from one organization to another as data storage varies for different organizations. Data storage usually depends on the quantity of data generated and certain factors like data analysis, data access and the demand for the particular data.
Moreover, for many IoT connected applications, it is essential to obtain real-time data analysis to get timely output. Cloud can effectively assist in these scenarios by generating a predictive analysis. But cloud also has its setbacks, as it cannot predict the historic failure in applications. All these above factors conclude the significant need of redefined infrastructure of storing IoT data where technologists have to take immediate action in managing storage of IoT data.
