We all enjoy the benefits of cloud computing, but we have seen the gradual demise of cloud computing, and people may think that cloud computing has not yet reached its full potential, and to a certain extent. However, the rapid development of the Internet of Things will actually lead to the main role of cloud computing is to store data, rather than continuously processing data.
Currently, web applications rely heavily on cloud computing services. Whether it's a Google search or a weather app, people enter the request into their mobile device and send it to the cloud for processing and transmission back to their mobile device. Artificial input and cloud processing are the current modes of operation. However, with the Internet of Things, nodes and sensors are increasingly collecting real-world information from the environment, changing the way the data center operates. In the near future, drones will be data centers that can fly, while military A robot is a data center that carries weapons.
With this huge edge ability to catch up: due to the nature of IoT technology, the transmission of large amounts of data through the cloud will become more ambitious. Consider that today's cars deploy about 100 CPUs. For autonomous vehicles, this number will rise to 300-400 or even more. If people build a smarter transportation system that connects a thousand cars, these vehicles need to communicate with infrastructure and communication centers, which will eventually lead to huge distributed computing problems. Even with 5G technology, this information can be quickly transferred to the cloud, processed and sent back, but it is impossible to support real-time decision making. Using cloud computing latency is too slow for real-time decision making.
In the near future, the old model of data generated at the edge and processed in the data center will reach its limit. The calculation will quickly turn to the edge calculation. In fact, research firm IDC predicts that by 2021, 43% of IoT calculations will occur on the edge.
So what does this mean for the business of the company? As hundreds of millions of end devices and new applications and business models evolve around the Internet of Things, the transition from the center to the edge is a huge opportunity for those who are developing early. For example, how will this shift change the way in which autonomous vehicle passengers are insured? How does instant edge analysis benefit retailers in micro-shoppers? The number of new revenue opportunities and business models will grow exponentially as they turn to the edge.
Just as trust has always been a limiting factor in controlling cloud computing service acceptance, the ability to provide a secure solution to shield the edge of the IoT system will be a limiting factor in controlling this new disruption. For example, smart home devices are hot spots for private information that can be used to determine if a home is vacant; blockchains will contain sensitive financial information, and automated vehicles, if exploited by hackers, pose a physical threat to pedestrians and vehicles. Therefore, edge computing itself is becoming the first line of defense for overall system security.
Cloud computing will become the teaching and training center for the Internet of Things. Here, edge computing devices will develop their pattern recognition skills and perform advanced machine learning. In the near future, cloud computing will remain in touch with people. So in a sense, cloud computing has died out, but it will last forever.
The tremendous opportunities brought about by the upcoming changes and edge computing indicate that technology will enter a new era. The world can be seen as a distributed computing system. In order to guide this change, one must be prepared to provide specialized processing power in edge computing, as this is where future technologies occur:
In many cases, dedicated processing can reduce response time and network congestion. Autonomous vehicles will rely on real-time processing to make the right decisions in fractions of a second.
Dedicated processing will better protect user privacy because raw data will not be uploaded to the cloud.
It does not require the creation of inefficient and unresponsive centralized cloud data centers to handle the significant growth in data collection.
Dedicated processing is more reliable at the device level.
People must also increase their efforts to provide effective trust and make distributed computing secure. A combination of hardware and software security tools that protect data privacy and security is readily available and must now be implemented at the system level in accordance with the design security and privacy principles. In this way, companies offering IoT services will send a signal of trust to billions of users who will enjoy the benefits of edge computing.
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