The abstract concept of the Internet of Things does not seem to cover up its confusion and complexity. And each vertical industry field that uses IoT technologies and products may have a myriad of different use cases. Needless to say, no one can figure out how many IoT devices are used in the end.
However, after several years of development, there have been some problems and trends, at least for most markets. At the “Internet of Things World†conference held in Santa Clara, California, experts highlighted these issues and expressed their opinions.
The following are some of the questions extracted from the speeches of some experts. These are usually basic but quite important things:
1. Reuse infrastructure
If the organization is interested in IoT deployment in buildings, or at least when the contractor invests in IoT deployments into communications infrastructure (such as fiber optic cables and network switches), consider using IoT vendors and contractors to use IoT deployments. The same infrastructure.
Erik Ubels, chief technology officer of OVG Real Estate, said that such buildings will eventually receive a dual-fiber, dual-switch design. The company designed the Deloitte office project in Amsterdam, making it the smartest and most One of the sustainable buildings.
2. Edge calculations are not always necessary
According to Ubels, Deloitte has become the world's smartest building without any edge computing equipment. The 40,000-square-foot building's device data from coffee machines, sensors, access control, elevators, power distribution, etc. is stored in all 28,000 sensors and is completely processed in Azure by the Azure IoT solution.
He said that there is no server or virtual machine in the building that handles Internet of Things data. "It all runs in the cloud."
3. Liquidity calculation
Although there may be situations where it is not necessary to calculate at the edge, the mobility of Internet data processing in the Internet of Things seems to be the direction of development.
More and more computing functions are being designed for smaller and smaller devices deployed in the Internet of Things. For example, a business has an edge router that can analyze video feeds from multiple cameras. Microsoft has released a version of the Azure IoT Edge software stack that can run on the Raspberry Pi 3, including services such as IoT Hub, machine learning, flow analysis, functional and cognitive services.
At present, many organizations are working hard to push more intelligence to terminal devices. "People will find that more and more of these smart devices are being pushed to the edge," said Jesse DeMesa, a strategic partner of Momenta Partners, a venture capital firm specializing in industrial Internet of Things.
Microservices supported by container and container orchestration platforms such as Kubernetes allow the same IoT software to run on multiple types of computing infrastructures, making intelligent edge itself possible.
All of this ultimately means that the future IoT network may be smart enough to choose the most reasonable position in the chain and should handle some kind of data. Some will be handled in the field, handled by the IoT device, some at the local edge (eg, via a router or edge computing cluster), some at the edge of a nearby hosted data center, and some will be sent to the cloud.
“We basically become fluid in places where we want to do calculations,†DeMesa said.
4. Internet business data management lag
Microservices make smart advantages possible, and more IoT devices have more and more computing power. However, data management still exists, and data management determines which data should be processed at the edge, which data should be sent to the cloud, which data should be dropped, and so on.
Stephen Goldberg, chief executive of HarperDB, said: "Application logic has been implemented and data management is really where people need to see more evolution."
Today, most of the data management functions are customized for each individual IoT project. Goldberg said, "This is becoming very expensive today." In other words, some standardization of data management functions will greatly reduce the cost of the Internet of Things.
Who owns these data?
This is one of the most important issues that organizations must answer before deploying the Internet of Things. Many suppliers working with companies expect to receive a lot of value from the data that they have collected from their devices and platforms deployed at customer sites.
For example, equipment manufacturers often want to upload their operating data from sensors on the equipment after they are installed. Operators will also need this data so they can analyze it and optimize their operations to reduce costs and increase production. They may or may not share data with suppliers.
"Of course, people think that any data collected from machines is their own data," said Dave Rauch, senior vice president of storage manufacturing Western Digital's global manufacturing operations. There are potential advantages to sharing data with device manufacturers. "But there should be nothing to stop people from using this data to optimize their factories."
JoAnna Sohovich, chief executive of Chamberlain Group, a residential and business portal operator and access control system maker, said that ownership of IoT data will be "a huge pricing discussion," meaning that customers may have to consider the benefits of advanced analytics. Make trade-offs. Get relatively low cost and exclusive control over data.
Industrial customers should use this data to determine how much their operational data is worth relative to their equipment suppliers in order to improve their products and services. It is important to remember that when suppliers invest in data collection and analysis capabilities in their products, the potential value of the data they expect to obtain is an important part of the decision.
6. Data Governance
What is now hopefully clear is that most of the content discussed in the IoT infrastructure strategy is about where the data is going. The issue of the location of physical data goes far beyond the Internet of Things field, and especially today, when Europe implements GDPR regulations and similar new rules come into effect, they will strengthen the implementation of regulations concerning the storage and non-storage of private data.
This adds an interesting perspective to the discussion of the IoT infrastructure. Christos Kolias, chief researcher at France Telecom’s Orange Corporation, said that it is easier for organizations to comply with these regulations when data sources process data rather than transfer it to a centralized data center.
According to these rules, when an organization has international customers, storing and processing data in the cloud may not be easy. The data of its international customers comes from different countries and is subject to different laws. Therefore, in theory, if the organization wants to handle the client's customer data, then it should be easier to comply.
7. No one-stop shop
If the organization is embarking on an ambitious IoT project, it is ready to collaborate with multiple vendors. The Internet of Things is an ecosystem game. Organizations will have to collaborate with ecosystems at multiple levels, whether it be cloud computing providers, system integrators, hardware vendors, or software manufacturers.
Philippe Fremont, vice president of the European Internet of Things at electronic distributor Avnet, said: “There has never been a one-stop shop. An organization will never have a successful Internet of Things project for a partner, but there will always be things that can help organize and guide. â€
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