IoT Impact on Storage, Networking, and Security

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IoT Impact on Storage, Networking, and Security

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In the roadmap of digital transformation, every organization around the world started to make a strategic move towards utilizing digital technologies in business operations. Businesses predict that consumers are going to use different types of IoT devices (consumer, enterprise & industrial) to exchange a huge amount of data within the IT ecosystem in upcoming years. As per forecasts and predictions published by various research firms, there will be billions of connected devices, generating trillion gigabytes of data that need to be processed at data centers. As this surge to digitalization continues, pressure on IT infrastructure and cloud providers will be greatly intensified.

  1. Need faster and high volume data storage systems – IoT data is generated by sensors from a diverse set of devices within a specific network. Most of the IoT data (structured or unstructured) will get preserved and perform analytics functions to generate insights. The analyzed results have to be pushed back to a central terminal. This triggers a requirement for high capacity storage, high-speed storage, and memory processing technologies like NVMe over fabrics, Intel’s 3D xpoint, and Magnetic RAM (MRAM). IoT data files are generally small files, but due to this fact, it can quickly add petabytes of data. An object storage is recommended for the storage of IoT as it can accommodate an increasing number of data files into storage devices. Most of the cloud service providers opt for object storage due to this feature, which makes cloud-integrated storage or cloud storage ideal for IoT specific data.
  2. Need scalable and agile network with high bandwidth and low latency – Apart from storage, the network infrastructure is a critical aspect for IoT data to get consumed by data centers while also pushing analyzed results to targeted devices. A network needs to have ultra-low latency and high bandwidth for large-scale IoT applications like industrial IoT, healthcare, and transport. Transfer of data should be near to real time. As a major percentage of IoT applications demand the processing of mission-critical data, any network failure consequences may have a major impact on operations. The emergence of 5G is a boon for IoT as it offers an agile and scalable network that allows for the network slicing method where network bandwidth is divided and allocated to different applications.
  3. Secure storage and network connectivity – A sensitive data transfers storage to a data center, the security of data becomes a prominent concern for organizations involved in IoT deployment. Due to the multiple technologies involved, an IoT infrastructure becomes complex and vulnerable for attackers to breach into storage or sniff into a network for performing malfunctions. Due to cybersecurity challenges, network and storage infrastructure must prepare themselves and minimize the risk by testing systems before deploying. They should also be able to detect and report malicious activities at each level of IoT infrastructure.

Currently, storage and network infrastructure have challenges providing 100 percent performance for IoT devices, but recent advancements in storage and network technologies keep the hope alive for IoT smart cities. In the upcoming years, we will see data centers come closer to endpoint IoT devices (edge computing) and will have a dedicated network "slice" for different types of IoT applications.

infastructure, iot, network, security, storage

Published at DZone with permission of Sagar Nangare . See the original article here.

Opinions expressed by DZone contributors are their own.

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