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ZENODO
Dataset . 2023
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 . 2023
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 . 2023
License: CC BY
Data sources: ZENODO
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Location-Aware Container Scaling (LACS) in Geo-distributed Clouds

Research datakeyboard_double_arrow_right Dataset 20 Jul 2023Publisher:Zenodo
Authors: Shi, Tao;

doi: 10.5281/zenodo.8166601 , 10.5281/zenodo.8166602

Location-Aware Container Scaling (LACS) in Geo-distributed Clouds

Abstract

Datasets and code for the problem of location-aware container scaling (LACS) in geo-distributed clouds: Randomly extracted one day’s workload from WikiBench and NASA HTTP: AppWorkload.py Facebook subscribers by January 2020 to simulate the distribution of application requests among different user regions: FacebookUserData.csv Sprint IP Network location as 82 user regions from 35 countries on 6 continents: SprintLocation.csv Observation on the network latency matrix among 82 user centres: LatencyMatrix.py Representative code using openAI's gym environment: deepscale.py

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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
downloads
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0
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23