Data Center Case Study

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Data Center:
Data center, in the context of big data, is not only for data storage but it plays significant role to acquire, manage and organize the big data. Big data has uncompromising requirement for storage and processing capacity. Hence the data center development should be the focus for effective and rapid processing capacity. With the increasing scale of data centers, the operational cost should be reduced for the development of data centers. Today’s data centers are application-centric, powering the many business applications, standalone websites and e-commerce offerings on the web. Tomorrow’s data centers need to be data centric: storage and infrastructure capacity must be expanded to support IoT/Big Data-generated information. This also affects future bandwidth in data centers as resources will be mostly consumed by IoT sensors and machines, as opposed to user activity and behaviour. …show more content…

IoT network architecture has three layers.First layer is the sensing layer which collects data from different sensing devices. Next is the network layer which transmit and process the information. Different specific IoT applications are supported by the last layer i.e. application layer.
Features of IoT generated data:
-large scale data: Data generated by IoT is characterized by large scales due to the fact that demands of analysis and processing require proper storage of present and historical data.
-Heterogeneity: Data generated by different IoT sensing devices is of the many varieties so this indicates that the data is heterogenous.
-Strong time and Space: For statistical analysis, time and space are important properties because different IoT devices have different locations and data pieces have different time stamps.
-Valuable data: Only a small portion of the acquisition devices data is beneficial and the rest is of no

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