For Deepak Syal
Edge computing is a critical component of today’s IT infrastructure network design. However, there are some fundamental hurdles to overcome before we can move data processing to the edge of the network. Fortunately, companies around the world are working to solve these problems and make edge computing more efficient, reliable, and easier to use. If we look at the type of patents that companies file, we can easily see how they are solving these problems in novel ways. Patents give us a window into the inner workings of a corporation, allowing us to observe what is happening in R&D. As a result, we identified five main obstacles and an ingenious solution for each one.
one) Security and Encryption
The Internet of Things (IoT) is well known for its security flaws. Due to the sheer volume of data being exchanged between the data center and the edge, each device on an edge server is another potentially susceptible endpoint. However, the Zhejiang Geely Group, a Chinese multinational corporation, is trying to make the network more secure with its invention.
A blockchain-based edge computing security encryption technique is the subject of his patent. A vehicle (edge data center) authenticates a request using a blockchain-based multi-level verification system and creates an action at the address edge node using this technology.
two) distributed computing
Most servers have a scattered collection of modules that are placed far apart from each other. On the other hand, Edge Computing tends to bring all systems closer to the processing regions. This creates a problem because the business server must take the edge server into account during the calculation.
So how is the industry dealing with this problem?
Beijing Zhixin Microelectronics Technology, a subsidiary of State Grid Information and Communication Industry Group, filed a patent that proposes to divide the entire edge server into multiple routes with routing devices at the edge center. When a connection request is received, a suitable route is searched (by matching the criteria of the source and destination nodes), and if none is identified, a new route is built based on service and bandwidth needs. .
The delay induced by data transmission is known as latency. This is most evident in situations where we can’t afford to wait even a minute. Autonomous cars, for example. The response time of a self-driving car is crucial to its success.
Latency can be minimized on an Edge Server if the computation occurs closer to the data or if the computation occurs exclusively in the data center. But, in most cases, latency difficulties arise as a result of distributive computing and bidirectional processing.
Samsung has come up with a solution to the problem. His patent proposes that the predicted latency associated with the node and core can be estimated by evaluating the network architecture consisting of an edge data center and edge nodes. After that, the latency difference between the two can be calculated and the edge transfer procedure can be improved. As a result, the real-time behaviors of autonomous cars will be optimized.
4) Operational restrictions
Because multiple edge receivers are located at different distances from the data center, troubleshooting and repairing any failure that arises in the frame requires a great deal of manual and logistical input, increasing the cost of maintenance.
On the other hand, Intel found a technique to avoid these costs. His invention provides an effective response to deal with operational limits and helps avoid costly maintenance, logistics and repair costs.
5) data accumulation
Data is a valuable corporate asset, but collecting vast amounts of data at the edge is a responsibility in itself. NTT Communications, a Japanese telecommunications corporation, filed a patent to solve the data accumulation problem.
A data retrieval server with an industry information table for storing edge IDs is suggested in the patent. By linking the edge IDs with an industry ID to identify the industry and a company/organization ID belonging to the industry, these IDs correspond to edge servers controlled and managed by a company. A perimeter network can quickly partition, store, and access a large amount of data in this way.
Other issues with edge computing include network bandwidth, mobile system limits, etc. In addition, a new architecture is needed to use the capabilities of edge computing in a better way, based on accommodating distributed computing with practical bandwidth and logistics needs. As a result, large corporations such as IBM, Intel, Amazon, Google, Huawei and others have already created “edge” wallets. However, as more Internet-connected devices enter the market, inventive companies are likely to only scratch the surface of what edge computing can do.
(The author is the director and co-founder GreyB. The opinions expressed are personal and do not reflect the official position or policy of FinancialExpress.com).