IoTSim-Osmosis: A framework for modeling and simulating IoT applications over an edge-cloud continuum

Khaled Alwasel, Devki Nandan Jha, Fawzy Habeeb, Umit Demirbaga, Omer Rana, Thar Baker, Scharam Dustdar, Massimo Villari, Philip James, Ellis Solaiman, Rajiv Ranjan

Research output: Contribution to journalArticlepeer-review

Abstract

The osmotic computing paradigm sets out the principles and algorithms for simplifying the deployment of Internet of Things (IoT) applications in integrated edge-cloud environments. Various existing simulation frameworks can be used to support integration of cloud and edge computing environments. However, none of these can directly support an osmotic computing environment due to the complexity of IoT applications and heterogeneity of integrated edge-cloud environments. Osmotic computing suggests the migration of workload to/from a cloud data center to edge devices, based on performance and security trigger events. We propose ‘IoTSim-Osmosis– a simulation framework to support the testing and validation of osmotic computing applications. In particular, our detailed related work analysis demonstrates that IoTSim-Osmosis is the first simulation framework to enable unified modeling and simulation of complex IoT applications over heterogeneous edge-cloud environments. IoTSim-Osmosis is demonstrated using an electricity management and billing application case study, for benchmarking various run-time QoS parameters, such as IoT battery use, execution time, network transmission time and consumed energy.
Original languageEnglish
Article number101956
JournalJournal of Systems Architecture
Volume116
DOIs
Publication statusPublished - 28 Nov 2020

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