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D. Jha, K. Alwasel, A. Alshoshan, X. Huang, R. Naha, S. Battula, S. Garg, D. Puthal, P. James, A. Zomaya, S. Dustdar, R. Ranjan:
"IoTSim-Edge: A Simulation Framework for Modeling the Behaviour of IoT and Edge Computing Environments";
Report for CoRR - Computing Research Repository; Report No. arXiv:1910.03026, 2019; 19 pages.

With the proliferation of Internet of Things (IoT) and edge computing paradigms, billions of IoT devices are being networked
to support data-driven and real-time decision making across numerous application domains including smart homes, smart transport, and
smart buildings. These ubiquitously distributed IoT devices send the raw data to their respective edge device (e.g. IoT gateways) or the
cloud directly. The wide spectrum of possible application use cases make the design and networking of IoT and edge computing layers
a very tedious process due to the: (i) complexity and heterogeneity of end-point networks (e.g. wifi, 4G, Bluetooth); (ii) heterogeneity of
edge and IoT hardware resources and software stack; (iv) mobility of IoT devices; and (iii) the complex interplay between the IoT and
edge layers. Unlike cloud computing, where researchers and developers seeking to test capacity planning, resource selection, network
configuration, computation placement and security management strategies had access to public cloud infrastructure (e.g. Amazon and
Azure), establishing an IoT and edge computing testbed which offers a high degree of verisimilitude is not only complex, costly and
resource intensive but also time-intensive. Moreover, testing in real IoT and edge computing environments is not feasible due to the high
cost and diverse domain knowledge required in order to reason about their diversity, scalability and usability. To support performance
testing and validation of IoT and edge computing configurations and algorithms at scale, simulation frameworks should be developed.
Hence, this paper proposes a novel simulator IoTSim-Edge, which captures the behaviour of heterogeneous IoT and edge computing
infrastructure and allows users to test their infrastructure and framework in an easy and configurable manner. IoTSim-Edge extends
the capability of CloudSim to incorporate the different features of edge and IoT devices. The effectiveness of IoTSim-Edge is described
using three test cases. The results show the varying capability of IoTSim-Edge in terms of application composition, battery-oriented
modeling, heterogeneous protocols modeling and mobility modeling along with the resources provisioning for IoT applications.