Simulating Large-Scale Social Sensing Based Edge Computing Systems with Heterogeneous Network Configurations

Abstract

Research in the field of Social Sensing Edge Computing (SSEC) faces a challenge in that most systems are developed on a small set of hardware and are never tested on large-scale networks. To address this issue, we present a Social Sensing Edge Computing Simulation Platform (SSEC SP) that is used to evaluate how SSEC systems scale to millions of devices. We demonstrate the platform by simulating several SSEC configurations to optimize Quality of Service (QoS) for large numbers of devices, while asserting that simulated results are consistent with the hardware implementations.