| Title |
Iot-Opt: The Swiss Army Knife To Model And Validate The Performance Of Iot Products |
| ID_Doc |
34110 |
| Authors |
Agnihotri P.; Luthra M.; Rodriguez M.; Koldehofe B. |
| Year |
2022 |
| Published |
Middleware 2022 - Proceedings of the 23rd International Middleware Conference Demos and Posters, Part of Middleware 2022 |
| DOI |
http://dx.doi.org/10.1145/3565386.3565490 |
| Abstract |
Building an IoT solution is a highly time-consuming, costly and complex task that requires several iterations of prototyping to find and evaluate a large set of hardware and software configurations that can optimize the IoT product's performance, e.g., energy consumption of the device. Furthermore, a wide range of hardware and software configurations for different IoT solutions easily become hard to analyze and maintain. In this paper, we present our industry solution called IoT Solution Optimizer (IoT-Opt) that helps to efficiently model and validate the performance of any proposed or deployed IoT products within a few minutes. The core idea is the digital twin technology that allows users to quickly assess implementation choices of IoT devices and model the effect of various deployment characteristics such as mobility, on their design and choose to optimize the communication efficiency or battery life performance. This innovative and powerful performance modeling capability helps enterprises accelerate their time-to-market, avoid unnecessary prolonged field trials and thereby reduce project costs. Simply put, IoT-Opt is the industry's most powerful middleware that is used by various IoT commercial products to deploy their solution. © 2022 Owner/Author. |
| Author Keywords |
digital twins; internet of things; smart city solution optimizer |
