Internet of Things Creating Changes in Data Centers

By Manufacturing Technology Insights | Thursday, December 06, 2018

The Internet of Things (IoT) will transform the data center market and all its aspects with it. According to a research firm, 26 billion units of IoT will be installed by 2020 resulting in revenue generation of $300 billion by IoT product and service providers. Large quantities of data generated by IoT deployments needs evaluation in real-time and processing large amounts of data will give rise to security, analytics, and capacity challenges.

IoT provides a data stream between the asset and the centralized management system by connecting remote assets. Once connected, these assets provide information on status, location, functionality, and more. The decision-making process is fortified with real-time data evaluation and allows a better understanding of the status. Business and data analytics provide insights and from IoT environment and help predict the fluctuations of IoT-enriched data.

The vast number of IoT devices coupled with even higher volume and structure of IoT data creates security, data, storage management, servers, and data center network challenges. Data center managers have to deploy forward-looking capacity management to meet the business priorities associated with IoT. A distributed data center management is formed by vast numbers of network connections and data which in turn calls for providers to offer efficient system management platforms.

IoT can generate massive amounts of input data that are globally distributed. Moreover, transferring the entire data to a single location for processing will not be feasible and centralization of applications to reduce costs is not plausible. Organizations have to distribute data to mini data centers where initial data processing can occur and later relevant data forwarded to a central site for additional processing is the right process.

The operations staff will face a new set of challenges as they will need to manage the entire environment while monitoring and controlling individual locations. Furthermore, this volume of data presents unaffordable challenges such as governance issues, remote storage bandwidth, network bandwidth, and the capacity to back up all raw data. Organizations have to select the most valuable or required data. Data center operations and providers will need a more futuristic capacity management platform that is capable of data center infrastructure management (DCIM) system approach of aligning IT and operational technology.

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