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IoT devices trigger real-time applications by receiving data from theirvicinity. Modeling these applications in the form of workflows enablesautomating their procedure, especially for the business and industry. Dependingon the features of the applications, they can be modeled in different forms,including single workflow, multiple workflows, and workflow ensembles. Sincethe whole data must be sent to the cloud servers for processing and storage,cloud computing has many challenges for executing real-time applications, suchas bandwidth limitation, delay, and privacy. Edge paradigms are introduced toaddress the challenges of cloud computing in executing IoT applications.Executing IoT applications using device-to-device communications in edgeparadigms requiring direct communication between devices in a network with agraph topology. While there is no simulator supporting simulatingworkflow-based applications and device-to-device communication, this paperintroduces a toolkit for simulating resource management of scientific workflowsin distributed environments with graph topology called WIDESim.The graphtopology of WIDESim enables D2D communications in edge paradigms. WIDESim canwork with all three different structures of scientific workflows: single,multiple workflows, and workflow ensembles. It has no constraint on thetopology of the distributed environment. Also, unlike most existing networksimulators, this simulator enables dynamic resource management and scheduling.We have validated the performance of WIDESim in comparison to standardsimulators and workflow management tools. Also, we have evaluated itsperformance in different scenarios of distributed computing systems usingdifferent types of workflow-based applications. The results indicate thatWIDESim's performance is close to existing standard simulators besides itsimprovements.

WIDESim: A toolkit for simulating resource management techniques of scientific Workflows In Distributed Environments with graph topology