Gartner, the 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 that lock 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 for 2017 and 2018:
The rise of the IoT Secure Internet of Things brings a variety of new security risks and challenges to the IoT device itself, the platform and operating system, related communications, and even the systems that objects are used to connect with each other. Security technology must protect IoT devices and platforms from message attacks and physical damage, and provide encryption for the communication process, or solve the "impersonaTIng things", which will deplete the battery and refuse to sleep (denial of 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.
Nick Jones went on to say: “There are a small number of experienced IoT security experts, and there are currently only fragmented security solutions, and they come from different vendors. New threats will continue to emerge until 2021, and hackers will find out Different ways to attack IoT devices and protocols, so 'objects' must be durable, and may have to be updated with hardware and software to survive the entire product life."
IoT Analytics 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.
IoT devices (objects) manage persistent nontrivial "objects" that 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.
Low-Power Short-Range IoT Networks To choose a wireless network for IoT devices, a balance must be struck between conflicting conditions such as coverage, battery life, bandwidth, density, endpoint costs, 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, not being dominated by a single winner, or a related set of specific technologies, applications or vendor ecosystems.
Low-power wide-area networks 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 hives The network cannot combine the above technical conditions. The long-term goal of the wide-area IoT network is to increase the data rate from hundreds of bits per second to tens of thousands of locations through nationwide coverage, while battery life can be up to ten years, and endpoint hardware cost control Up to five dollars, and can support hundreds of thousands of devices or similar parts that link base stations. 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.
IoT Processors IoT devices use processors and architectures that define device performance, such as whether they have strong security and encryption capabilities, power consumption, and advanced technology to support an operating system, continuously updated firmware, and embedding. The management agent of the component. 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.
IoT operating systems such as Windows or iOS, such as the traditional operating system (OS), 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 chips used by IoT developers. Therefore, a wide variety of IoT operating systems have been developed to meet different hardware imprinting and functional requirements.
Event Streaming Some Internet of Things applications can result in increased data transfer rates 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 immediate analysis and pattern identification (pattern idenTIficaTIon).
IoT 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 main categories:
(1) Low-end equipment control and operations, including communications, equipment monitoring and management, security and firmware updates;
(2) Acquisition, conversion and management of IoT materials;
(3) IoT application development, including event-driven logic, application design, visualization, analysis techniques, and adapters for linking enterprise systems.
The standards and ecosystems of the Internet of Things Although the ecosystem and standards are not technically specific, most of them will eventually be embodied as application programming 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, 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 emerge, and operators must prepare for the entire product. The life cycle is continuously updated.
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