Gartner, an international research and advisory body, recently selected the Top Ten Internet of Things (IoT) technology to remind business organizations that they must pay special attention to relevant developments in the next two years.
Nick Jones, vice president and distinguished analyst at Gartner, said: "The Internet of Things requires a variety of new technologies and skills, but many organizations are still not ready. There is a recurring discussion in the Internet of Things field, that is Technology and services and related suppliers are still immature. Planning and managing related risks for such immaturity will be one of the main challenges for enterprise organizations locking in the Internet of Things. In many technical fields, the lack of skills will also Formed a great challenge."
The technology and principles of the Internet of Things will have a very broad impact on business organizations, ranging from business strategy to risk management to a wide range of technology areas such as architecture and network design. The following are the top ten IoT technologies selected by Gartner in 2017 and 2018:
IoT security
The rise of the Internet of Things, for the IoT device itself, platform and operating system, related communications, and even the system used to connect objects, brings a variety of new security risks and challenges. Security technology must protect IoT devices and platforms from message attacks and physical damage, as well as provide encryption for the communication process, or solve impersonaTIng things, and deplete the battery. Sleep) New challenges such as attacks. IoT security will be more complicated because many "objects" use simple processors and operating systems that do not support advanced security methods.
Jones went on to say: "There are not many experienced IoT security experts. Currently, there are only fragmented security Solutions and they come from different vendors. New threats will continue to emerge before 2021, and hackers will also find out Different ways to attack IoT devices and agreements, so 'objects' must be durable, and may have to be able to update the software and hardware to survive the entire product.
2. Internet of Things Analysis Technology
The IoT business model will use the information collected by the “objects†in various ways to understand customer behavior, provide services or improve products, or to identify and grasp business moments. However, the Internet of Things requires a new type of analysis. Now we need new analytical tools and algorithms, because the amount of data will continue to increase until 2021, and the demand for the Internet of Things may deviate from traditional analytical techniques.
3. IoT device (object) management
Long-lasting nontrivial “objects†require management and monitoring. This includes device monitoring, firmware and software updates, diagnostics, failure analysis and reporting, entity management, and security management. The Internet of Things also brings a lot of new problems to management. Related tools must have the ability to manage and monitor thousands or even millions of devices.
4. Low-power short-range IoT network
To choose a wireless network for an IoT device, you must balance the many conflicting conditions, such as coverage, battery life, bandwidth, density, endpoint cost, and operating costs. By 2025, the low-power short-range network will be the mainstream of IoT networking technology, and the popularity will far exceed the wide-area IoT network. However, the trade-offs between business and technology will have many solutions coexisting and will not dominate the market by a single winner, or a related set of specific technologies, applications or vendor ecosystems.
5. Low-power WAN
For those IoT applications that require wide-area coverage, relative low-bandwidth, excellent battery life, low hardware and operating costs, and high connection density, traditional cellular networks cannot. Good combination of the above technical conditions. The long-range goal of the wide-area IoT network is to increase the data rate from hundreds of bits per second to tens of thousands of bits through nationwide coverage, while battery life can be up to 10 years. The hardware cost is controlled at around $5, and it can support hundreds of thousands of devices or similar devices that connect to the base station. The first low-power wide area networks (LPWANs) are built on proprietary technologies, but in the long run, emerging standards such as the narrow-band Internet of Things (NB-IoT) will become the mainstream in this space.
6. IoT processor
The processor and architecture used by IoT devices can define device performance, such as whether it has strong security and encryption capabilities, energy consumption, and advanced technology to support a certain operating system, sustainable firmware, and embedded components. Management agent. In terms of hardware design, complex trade-offs must be made on various functions, hardware costs, software costs, and software upgrade capabilities. Therefore, you must have deep technical skills to understand what it means to choose a different processor.
7. Internet of Things Operating System
Traditional operating systems (OS) like Windows or iOS are not designed for IoT applications. They consume more power, require faster processors, and in some cases lack the functionality of a guaranteed real-TIme response. Their memory usage is too large for small devices and may not support the chips used by IoT developers. Therefore, a variety of IoT operating systems have been developed to meet different hardware imprinting and functional requirements.
8. Event stream processing
Some IoT applications can lead to an increase in the rate of data transfer that must be analyzed on the fly. Systems often generate tens of thousands of events per second, and some telecom or telemetry cases can reach millions of times per second. In order to solve the related requirements, the Distributed Streaming Computing Platform (DSCP) was born. They typically use a parallel architecture to handle high data rate streams for tasks such as instant analysis and pattern identification (pattern idenTIficaTIon).
9. Internet of Things platform
The IoT platform bundles many infrastructure components in an IoT system into a single product. The services provided by such platforms can be divided into three categories: (1) low-level device control and operation, including communication, device monitoring and management, security and firmware update; and (2) acquisition, conversion and management of IoT data. And (3) IoT application development, including event-driven logic, application design, visualization, analytics, and adapters for connecting enterprise systems.
10. Internet of Things standards and ecosystems
While ecosystems and standards are not technical in nature, most of them will eventually become application interfaces (APIs). Standards and related application interfaces are extremely important because IoT devices must be able to communicate and communicate, and many IoT business models rely on data sharing between different devices and organizations.
In the future market, there will be many Internet of Things ecosystems emerging, and the business and technology disputes between these ecosystems will also dominate smart homes, smart cities and medical care. Organizations that make products may have to develop variants of products to support multiple standards or ecosystems, and because standards will continue to evolve, new standards and related application interfaces will also emerge, and operators must prepare for the entire product. The life cycle continues to be updated.
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