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Similarities between hardware and software
Similarities between hardware and software













similarities between hardware and software

Therefore the IoT software platform itself needs to implement alternative measures to handle such device level issues. However, most of the low-cost, low-powered devices involved in modern IoT software platforms cannot support such advanced access control measures. Generally, the network connection between the IoT devices and the IoT software platform would need to be encrypted with a strong encryption mechanism to avoid potential eavesdropping. Millions of devices being connected with an IoT platform means we need to anticipate a proportional number of vulnerabilities. The information security measures required to operate an IoT software platform are much higher than general software applications and services. It’s common to use REST APIs to achieve this aim. The API should provide access to the important operations and data that needs to be exposed from the IoT platform. Support for integration is another important feature expected from an IoT software platform. At the end of the day, users of the devices should be able to get individual device level statistics. The IoT platform should maintain a list of devices connected to it and track their operation status it should be able to handle configuration, firmware (or any other software) updates and provide device-level error reporting and error handling. 3.1 Device Management and Integration Supportĭevice management is one of the most important features expected from any IoT software platform.

similarities between hardware and software similarities between hardware and software

In the next half of this article, we give a brief introduction to these characteristics. 3. Important Features Expected from an IoT Software Platformīased on several recent surveys,, we’ve selected the following features as being crucial for an IoT software platform: device management, integration, security, protocols for data collection, types of analytics, and support for visualizations as example features for comparison. Note that while we try to be as comprehensive as possible, the article may not reflect some of the latest improvements made to the listed IoT software platforms. Shortlisting the IoT vendors for this article was based purely on the criteria whether the vendors provide software solutions that allow for processing information from IoT devices/sensors. The aim of this article is to make a general survey of the current IoT software platform landscape based on a detailed analysis we conducted on IoT vendors. Few vendors in the industry currently offer IoT software platforms: for example, out of the top 100 IoT startups ranked by Mattermark (based on the total funding they received), only about 13 startups provide IoT software platforms. In terms of the technology and engineering aspects of IoT, there currently exists a clear separation between the hardware and software platforms, with the majority of vendors focused on the hardware. Since the variety - and the number - of devices connected to the Internet has increased exponentially in recent years, IoT has become a mainstream technology with a significant potential for advancing the lifestyle of modern societies. The Internet of Things (IoT) has undergone rapid transformation since the term was first coined in 1999 by Kevin Ashton. Finally, we list down the desired features of an IoT software platform based on our observations. Next, we compare the extent to which those key features have been implemented in the current IoT software platforms. We first create a list of key features which are important for any IoT software platform. This article presents a general survey of the current IoT software platform landscape based on a detailed analysis we conducted on IoT vendors.















Similarities between hardware and software