How IoT will affect Hadoop and data architectures

The Internet of Things (IoT) is still early in its development, but it’s already clear that existing server and network architectures will soon need improvements to address the rapid growth and evolution of IoT. Limitations in the availability of IPv4 network addresses, methods to effectively store information, and numerous other architectural challenges will force changes in the way we use platforms like Hadoop in order for IoT to effectively scale.

The need for supply-side architecture

Supply-side architecture, from a structural standpoint, refers to the traditional server software and hardware we use today that will soon be augmented by the new sensory and interactive capabilities IoT will offer. A challenge for this supply-side architecture will be its ability to effectively identify, categorize, and efficiently store the information it could potentially receive from billions of devices worldwide.

This includes, fundamentally, the way we structure our networks with the potential to add billions of new Internet-capable devices in the next few years. Given the fact that IPv4 has been at its limit for years, the transition to IPv6 will become an even greater necessity. It will require smart Intranet and domain development to provide easy-to-find ways to connect with the many IoT devices one might have in their home or office. Balancing these many network layers will require architecture that seamlessly blends these new devices and improves existing networking processes.

How Hadoop will change to serve IoT

This transition will also include major data-storage architectures, such as Hadoop, that many firms depend on for global information management. As an open source platform powered and developed by the majority of tech and data firms, Hadoop will likely transition in several core ways as IoT development continues. Because Hadoop is what facilitates Big Data information gathering and storage, the platform will certainly change as IoT becomes the preferred method of primary source information gathering. Firms will need to find ways to effectively move information from a facility full of interconnected devices into a well maintained central repository of information. Hadoop is designed to do this already with many Internet and mobile properties and the information they gather, and this model will certainly be replicated at the IoT layer.

This will in turn empower IoT, as Hadoop may even help set standards for how servers and existing computer architectures can communicate with the new, embedded, low-power technologies being invested into IoT solutions. For now, no clear solution exists about effectively connecting all these new devices, but since they will be unable to store large amounts of information, it will be up to platforms like Hadoop to usher in the gradual standardization of information storage, which may also help standardize networking and communication protocols.

Hadoop will likely remain the core choice in data storage--given its importance to so many firms around the world, it’s essentially a major standard in Internet-based data storage. As the name suggests, the Internet of Things will certainly add another layer to the picture. As IoT grows from an experimental to a mainstream aspect of computing, it will certainly impact Hadoop’s architecture to accommodate for the new platform’s needs. We’ve seen this already with mobile computing and the prevalence of Internet-based computing, and IoT in many ways will blend aspects of both these paradigms into its own transition.

About Emre Yayici

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