Validation of ESDS Using Epidemic-Based Data Dissemination Algorithms

The study of Distributed Systems (DS) is important as novel solutions in this area impact many sub-fields of Computer Science. Although, studying DS is not an easy task. A common approach is to deploy a test-bed to perform a precise evaluation of the system. This can be costly and time consuming for large scale platforms. Another solution is to perform network simulations, allowing for more flexibility and simplicity. Simulators implement various models such as wired/wireless network models and power consumption models. Extensible Simulator for Distributed Systems (ESDS) is a simulator designed for simulation of systems that include edge platforms, namely Internet of Things (IoT), Wireless Sensor Networks (WSN) and Cyber-Physical Systems (CPS). ESDS uses coarse-grained (flow-level) models for wired and wireless networks, and provides nodes power consumption models. However, to ensure accurate predictions, these models must be validated. In this paper, we propose to validate the flow-level wire-less model and the power consumption model of ESDS using epidemic-based data dissemination simulations. We show that ESDS has similar predictions than another validated flow-level network simulator, in terms of network performance and energy consumption.