Published June 19, 2020 | Version 0.1

Cloud-hosted DBMS Performance, Scalability and Availability Evaluation Data

  • 1. Ulm University

Description

These data sets contain evaluation data for the evaluation objectives performance, scalability and availability of different cloud-hosted, distributed DBMS. 

The data sets contain the raw performance metrics, monitoring data and evaluation metadata. For the higher-level evaluation objectives scalability and availability, supportive plots are provided.


The performance and scalability evaluations have been carried out with the Mowgli framework and the availability evaluation have been carried out with the King Louie framework.

Files

availability-results.zip

Files (176.9 MB)

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md5:5333028acc22254a06661209637788e6
41.3 MB Preview Download
md5:efc43c55b85513f7309e64e5330d8767
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md5:dc43f56a2d424091b454362e25f8e8b5
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md5:03a0e6930c5addf46aff2030976ac8ef
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md5:3c561785493c1ac0d5fe9aa18623a2bd
119.0 MB Preview Download

Additional details

Related works

Is compiled by
Conference paper: 10.1145/3297663.3310303 (DOI)
Conference paper: 10.1145/3341105.3373968 (DOI)

Funding

European Commission
RECAP - Reliable Capacity Provisioning and Enhanced Remediation for Distributed Cloud Applications 732667
European Commission
MELODIC - Multi-cloud Execution-ware for Large-scale Optimized Data-Intensive Computing 731664