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ZENODO
Dataset . 2019
License: CC BY
Data sources: Datacite
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
ZENODO
Dataset . 2019
License: CC BY
Data sources: Datacite
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Benchmark for supply chain monitoring properties using BeepBeep

Authors: Betti, Quentin; Hallé, Sylvain;

Benchmark for supply chain monitoring properties using BeepBeep

Abstract

This is an instance of the LabPal experimental environment to benchmark the execution of processor chains for the BeepBeep event stream engine. The considered use case is related to the concept of hyperconnected logistics. In this model, the entire world can be split at the smallest scale into unit zones, whose size depends on expected demand density. Adjacent unit zones are grouped into local cells, which in turn are gathered into areas, which form regions. Simultaneously, several hub networks are defined to link these different layers: access hubs link unit zones together; local hubs link local cells, and gateway hubs link areas. Different hub levels may exist inside the same physical entity (e.g., a local hub might also be an access hub), thus allowing interactions between the different layers. In a recent work (see citation below), the authors showed how to concretely adapt a hyperlogistics simulation in order to integrate an Ethereum blockchain backend, in such a way that every action made by carriers is publicly stored in transactions on the blockchain itself. The combination of such simulation and blockchain backend allowed us to generate the traces used to monitor a number of properties. The experiments in this benchmark measure the throughput of a variety of BeepBeep processor chains on simulated logs of blockchain events generated on the fly.

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Keywords

event stream processing, supply chain logistics, BeepBeep, benchmark, event streams, hyperconnected logistics, blockchains, complex event processing, smart containers, LabPal

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selected citations
These citations are derived from selected sources.
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!
views
OpenAIRE UsageCountsViews provided by UsageCounts
1
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7