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Formal Verification of Storm Topologies - Supplementary Material

Authors: Pagani, Elena; Bersani, Marcello Maria; Erascu, Madalina; Marconi, Francesco; Ghilardi, Silvio;

Formal Verification of Storm Topologies - Supplementary Material

Abstract

This repository contains the supplementary material accompanying the paper named: Formal Verification of the Safety of Apache Storm Topologies to Overloading. Specifically, here can be found all the software, scripts, and NuSMV models to replicate the experiments presented in the manuscript, and the spreadsheet with all the experimental results . Please, refer to the README.md file for more details. This work was partially supported by project SERICS (PE00000014) under the MUR National Recovery and Resilience Plan funded by the European Union - NextGenerationEU. Elena Pagani was partially supported by the project "Safe and Robust Communication for Multi-Agent Robot Systems" under the internal research support program PSR 2022 of the Università degli Studi di Milano. Silvio Ghilardi was supported by INdAM's group GNSAGA.

Keywords

symbolic model checking, NuSMV, LTL logic, Apache Storm, BDDs

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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average