Excerpt: There are a lot of technological advancements in the field of technology, such as artificial intelligence, big data, and so on. Among these innovations is IoT, or the internet of things, innovating at different levels. The Internet of Things (IoT) is a rapidly evolving technology schema that is rapidly gaining traction across a wide range of industries.
Table of contents:
- Why does the IoT scalability issue exist?
- Three tips to overcome IoT scalability
A lot goes into getting an IoT project up and running, but success is not always guaranteed. According to Microsoft’s new IoT Signals report, nearly one-third of projects fail during the proof-of-concept (POC) stage. All at the same, the number of internet-connected devices with IoT is increasing dramatically, necessitating the improvement of one of the most critical aspects of IoT, which is scalability.
The question now is why scalability is so important. Scalability – understood as the capacity of a system to manage an expanding quantity of effort by increasing capacity and resources – continues to be a challenge for IoT developers. Furthermore, if such issues are not addressed early on, they may sprout into issues that threaten extended upkeep times and response time issues. This article will discuss why there is a scalability issue and how to overcome it with some helpful tips and tricks. Explore IoT Tutorial for more information.
Why Do IoT Scalability Issues Exist?
Before we get into the workarounds, let’s take a step back and think about why there are scalability issues with IoT.
- Inadequate project plan
Before starting an IoT project, a strong Proof of Concept (POC) and a planning phase are required. Given the number of technological and managerial factors involved in IoT projects, most factors should be considered during the planning stage. These factors are frequently uncertain or overlooked because they appear insignificant at first, and they could significantly impact the project’s ability to grow.
- Concerns about future devices’ suitability
As you are likely familiar with, there is a slew of new IoT devices. The number of Internet of Things connections is expected to reach 83 billion by 2024. Furthermore, even the smallest devices can change how they interact with IoT communication protocols. In addition, all of these devices have new or improved features, hardware, and software. This implies that the system for introducing new or attempting to replace existing devices in five years may be very different from today’s. Changes to the architecture, software, or protocols themselves would be required.
- Financial restrictions
IoT developers may be hesitant to invest money now to avoid issues down the road. While we understand their point, would you not buy a car, home, or health insurance? Also, why seize the opportunity? Invest in IoT at a large scale to put your mind at ease.
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Coming to the three tips to overcome this Iot scalability issue:
Since you’ve been aware of some of the issues surrounding IoT scalability, let’s look at some useful suggestions you can use to avoid falling into the same hooks.
- Start Small And Build Out
If you want to scale wisely, you should limit your growth over time. If you start with a few controllable devices and gradually add one or two more over time, your project will be much more manageable. You will not need to transform your entire infrastructure, and it will not take long to adjust them. If you follow this advice, keep in mind that the time you spend adjusting to a new device may end up taking longer than the alternative. This is because when you immediately implement a scalable system, you can add multiple devices simultaneously.
This, like many things, is dependent on your current IoT project. You can gradually increase the size of it is relatively small. But even so, since you’re looking forward to long progress and scalability, you should consider the big picture.
- Make use of a Decentralized AEP Platform.
You can efficiently and successfully scale up your IoT project with a decentralized IoT Application Enablement Platform (AEP). Let’s look at the replacement to see how it stacks up. Traditional AEP solutions, like lAWS IoT as well as Microsoft Azure transmits the data to IoT devices using the cloud. As a result, for a client to communicate with a device, data must be sent to a central database and stored temporarily. This is bad for device security because, while information is protected from client to database and database to device, data stored in the database is still vulnerable to cyber threats.
Furthermore, because all data traffic must pass through the same central “relay” setup, a traditional AEP solution has more technical glitches due to the extra step of going through the cloud.
A decentralized AEP platform, on the other hand, creates a direct linkage from the client to a device. Once a P2P (peer-to-peer) link is made, the connection’s only limit is the computing power of the client and device, and the internet higher the current ratio at the two destinations.
This makes sure that-
- Because data does not need to be transmitted through a central setup, there is room for scalability.
- Removes the possibility of data interception.
Thus, we can say that a decentralized AEP solution helps optimize up more easily by reducing potential risks and having little effect on communication speed no matter how large you get.
- Make Use of Simple Architecture
Picking the appropriate architecture for your project from the start results in far as there are fewer problems later on. Furthermore, it is critical to select an option that considers the future. Simply put, do not pertain to the project you are currently working on but rather to the one you will be working on in the future.
When communicating between IoT devices, using the MQTT protocol’s one-to-many system may be a good idea for smaller projects. However, it may not be as beneficial in the long run.
This is due to the complexity of its programming, delay and security concerns, and the need for continuous attention. In the long run, you should use a simpler architecture. Specifically, a REST API has several advantages for developers, such as-
- Simple to scale
- Much more secure
You’ll need well-defined blueprints for developers and IoT ecosystem partners if you want to scale up your IoT applications. Scalability is an important factor that helps IoT developers recognize the difficulties, engage in a thorough planning phase, invest the necessary funds and time from the start, and select the architectural features wisely. You must improve essential curve expertise to simplify IoT scalability with demonstrated success in specific applications.
Sai Priya Ravuri is a Digital Marketer, and a passionate writer, who is working with MindMajix, a top global online training provider. She also holds in-depth knowledge of IT and demanding technologies such as Business Intelligence, Machine Learning, Salesforce, Cybersecurity, Software Testing, QA, Data analytics, Project Management and ERP tools, etc.
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