Badiger, S and Baheti, S and Simmhan, Y (2018) VIoLET: A Large-Scale Virtual Environment for Internet of Things. In: 24th International European Conference on Parallel and Distributed Computing, Euro-Par 2018, 27 - 31 August 2018, Turin, pp. 309-324.
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Abstract
IoT deployments have been growing manifold, encompassing sensors, networks, edge, fog and cloud resources. Despite the intense interest from researchers and practitioners, most do not have access to large-scale IoT testbeds for validation. Simulation environments that allow analytical modeling are a poor substitute for evaluating software platforms or application workloads in realistic computing environments. Here, we propose VIoLET, a virtual environment for defining and launching large-scale IoT deployments within cloud VMs. It offers a declarative model to specify container-based compute resources that match the performance of the native edge, fog and cloud devices using Docker. These can be inter-connected by complex topologies on which private/public networks, and bandwidth and latency rules are enforced. Users can configure synthetic sensors for data generation on these devices as well. We validate VIoLET for deployments with >400 devices and >1500 device-cores, and show that the virtual IoT environment closely matches the expected compute and network performance at modest costs. This fills an important gap between IoT simulators and real deployments.
| Item Type: | Conference Paper |
|---|---|
| Publication: | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) |
| Publisher: | Springer Verlag |
| Additional Information: | The copyright for this article belongs to the Authors. |
| Keywords: | Application programs; Distributed computer systems; Virtual reality, Complex topology; Compute resources; Computing environments; Declarative models; Evaluating software; Large-scale virtual environment; OR applications; Simulation environment, Internet of things |
| Department/Centre: | Division of Interdisciplinary Sciences > Computational and Data Sciences |
| Date Deposited: | 02 Sep 2022 06:23 |
| Last Modified: | 02 Sep 2022 06:23 |
| URI: | https://eprints.iisc.ac.in/id/eprint/76366 |
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