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Evaluating Computation and Data Placements in Edge Infrastructures through a Common Simulator

Abstract : Scheduling computational jobs with data-sets dependencies is an important challenge of edge computing infras-tructures. Although several strategies have been proposed, they have been evaluated through ad-hoc simulator extensions that are, when available, usually not maintained. This is a critical problem because it prevents researchers to-easily-perform fair comparisons between different proposals. In this paper, we propose to address this limitation by presenting a simulation engine dedicated to the evaluation and comparison of scheduling and data movement policies for edge computing use-cases. Built upon the Batsim/SimGrid toolkit, our tool includes an injector that allows the simulator to replay a series of events captured in real infrastructures. It also includes a controller that supervises storage entities and data transfers during the simulation, and a plug-in system that allows researchers to add new models to cope with the diversity of edge computing devices. We demonstrate the relevance of such a simulation toolkit by studying two scheduling strategies with four data movement policies on top of a simulated version of the Qarnot Computing platform, a production edge infrastructure based on smart heaters. We chose this use-case as it illustrates the heterogeneity as well as the uncertainties of edge infrastructures. Our ultimate goal is to gather industry and academics around a common simulator so that efforts made by one group can be factorised by others.
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Submitted on : Friday, August 14, 2020 - 11:05:07 AM
Last modification on : Friday, April 29, 2022 - 11:50:02 AM
Long-term archiving on: : Monday, November 30, 2020 - 7:39:03 PM


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Anderson Andrei da Silva, Clément Mommessin, Pierre Neyron, Denis Trystram, Adwait Bauskar, et al.. Evaluating Computation and Data Placements in Edge Infrastructures through a Common Simulator. SBAC-PAD 2020 - IEEE 32nd International Symposium on Computer Architecture and High Performance Computing, Sep 2020, Porto, Portugal. pp.1-8, ⟨10.1109/SBAC-PAD49847.2020.00020⟩. ⟨hal-02915346⟩



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