BY Capgemini
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What happens

With millions of Internet of Things (IoT) devices around the world and hundreds of standards, channels and platforms, extracting data from IoT devices can be cumbersome. However, if the data can be decoupled from the device, then it can be more easily analysed, providing companies with tremendous insight to help streamline their business processes.

so what?

Senior Director, Internet of Things at VMware

Mimi Spier leads business development, marketing and go-to-market strategy for IoT at VMware. She leads a team responsible for defining VMware's IoT strategy and business plan,...

The huge variety of systems currently used by IoT devices is holding back the potential impact of big data analysis on companies' business practices. Companies are struggling to gather data from connected devices and transfer it to the cloud or data centres for analysis. However, software designers are seeking to create universal tools, which enable companies to use one program to extract data from a variety of devices. One such firm is VMware, whose product Liota (Little IoT Agent), is a vendor-neutral open source software development kit (SDK) for building secure IoT gateway data and control orchestration applications. This will allows firms to sidestep one of IoT biggest problems: the gateway component.

Why is the gateway such a problem for IoT development?

Gateways are an integral part of IoT infrastructure. We expect the gateway or edge system to become a very strategic part of the IoT infrastructure. This is because it not only acts as a bridge, but it also decouples the physical IoT devices from the risks and insecurities of the Internet. They also act as the place where connected devices and data storage components in data centres are aggregated. This bridge allows data to move freely, correctly and securely from the device to the cloud or data centre. We are seeing the need for real-time analytics of the data coming from the connected devices being handled at the edge or near the edge, while historical analytics are handled in the cloud or at on-site data centres.

In addition, as IoT deployment becomes more widespread, organisations want to deploy IoT apps across multiple gateway vendors. However, there is a wide variety of gateway development models, making it is difficult for companies to manage and leverage multiple gateway vendors within their IoT infrastructures.

Why is Liota important?

To understand why, you first must acknowledge the myriad of gateways, or edge systems. Think of these as the bridges between connected devices such as sensors and meters, and the cloud, or a company's data centre. The problem is that a typical enterprise will have many different types of connected devices, and they connect to different types of gateways. If you are a developer writing an IoT application today, you need to create multiple versions of your application to work on the different combinations of devices and gateways, making it nearly impossible to orchestrate across all of them.

How will streamlining the system spur development of IoT and innovation?

Developers are often so bogged down in the day-to-day, backend development of apps that they rarely get time to focus on innovation. With how quick the market moves, however, innovation is what will set businesses apart, allowing them to keep or gain competitive advantage while continuing to drive the business forward.

Are there unrealistic expectations of the IoT?

The IoT is a different beast. It is not just a question of deploying a typical application for the company, because for each type of IoT use case, there are additional physical and infrastructural aspects to be considered. Each use case requires that you determine the right sensors, the right edge gateway, identifying the data you want to use, and what questions it will answer. In addition, because of privacy, security, latency and bandwidth issues, in many cases, enterprise IoT solutions will likely not be public-cloud based. The real-time analytics will need to be handled as close to the edge gateway as possible.

How is the current situation holding back large scale projects?

The current situation is fragmented because each enterprise is struggling to get the data out of each device and writing their own one-off extraction applications. Unfortunately, when they go from "proof-of-concept" to scale, it becomes very difficult to manage and maintain. This is where we think we can help to provide a more standard approach to setting up and deploying IoT applications. Each use case is unique, but the infrastructure set-up does not have to be unique and can be standardised across use cases. 

Who cares?

There remains a lot of work to be done in terms of standardisation and orchestration mechanisms, in addition to software engineering delivery methodologies, before the full impact of big data analysis can be felt.

Until universal standards are established, systems that can help firms get to grips with processing and analysing data from disparate sources will be crucial.

If companies are to maximise the potential of big data they must be able to access the data from IoT devices and tools such as Liota could streamline the process while securing the transfer of that data between device and datacentre. 

Such tools can also help scale up IoT projects by working across the multiple gateway platforms required for industrial IoT, providing developers with a common framework across all the gateways of their enterprise.
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