Abstract: A computing device and method for profiling and diagnostics in an Internet of Things (IoT) system, including matching an observed solution characteristic of the IoT system to an anomaly in an anomaly database.

Abstract: A system and method for representing events that occur in a real world deployment is described. A real-world workload including multiple events is identified. Multiple characteristics of the real-world workload are converted into multiple endpoint simulator workloads. Multiple gateway hardware characteristics are converted into a modeling elements for simulated Internet of things (IoT) networks. Further, a simulation is performed for each of the endpoint simulator workloads on each of the simulated IoT networks. Also, statistics are collected about the performance of the simulated IoT networks for the endpoint simulator workloads.

Abstract: The techniques disclosed herein include a computing device for Internet of Things (IoT) solution sizing. The computing device is to determine a solution deployment metric, trigger edge traffic, monitor a round trip characteristic and an actuation pattern, execute permutations of input workloads, and determine a solution deployment.