Enabling addressability technology through high interoperable design for IoT platforms

Abstract

In the internet era, where people are connected to each other, web server architectures have been developed and advanced. Now, we are witnessing the advent of the complex IoT (Internet of Things) era, where not only people, but also all devices on the planet are interconnected to each other and enormous amount of interactions is required. This year after a long standardization process, the remote connectivity communication infrastructure started being commercialized worldwide. Some of the representative examples are LTE low end protocols LTE-M and NB-IOT. Moreover, their chipsets are priced very competitively at around 1/10 of LTE chipsets, similar to local connectivity chipsets such as WIFI or Bluetooth. With this trend, we expect a lot more services and devices with more complex network environments will be introduced in the market. In this paper, we propose HePA (Hexagonal Platform Architecture), a platform architecture that is extremely scalable while maintaining required performance and reflecting requirements of the complex environment. The experiment results prove that throughput of our HePA is more than double compared to that of other architectures, while latency is kept consistent. This result justifies that HePA is a high performance architecture with high scalability. By looking at the number of request per second, we can verify that the proposed scheme has a smaller impact on node failure. Based on the results of the scalability overhead experiment, the proposed architecture shows significantly less overhead compared to other schemes. We expect the HePA to become a proven reference architecture in this field.An increasing number of IoT devices are being introduced to the market in many industries, and the number of devices is expected to exceed billions in the near future. With this trend, many researchers have proposed new architectures to manage IoT devices, but the proposed architecture requires a huge memory footprint and computation overheads to look-up billions of devices. This paper proposes a hybrid hashing architecture called H- TLA to solve the problem from an architectural point of view, instead of modifying a hashing algorithm or designing a new one. We implemented a prototype system based on HePA that shows about a 30% increase in performance while conserving uniformity. Therefore, we show an efficient architecture-level approach for addressing billions of devices.