InforLorV4, Main, Exploration, bibRecord, 000730

A survey of general-purpose experiment management tools for distributed systems

Identifieur interne : 000730 ( Main/Exploration ); précédent : 000729; suivant : 000731

A survey of general-purpose experiment management tools for distributed systems

Auteurs : Tomasz Buchert [France] ; Cristian Ruiz [France] ; Lucas Nussbaum [France] ; Olivier Richard [France]

Source :

Future Generation Computer Systems [ 0167-739X ] ; 2015.

RBID : Hal:hal-01087519

English descriptors

mix :
- Control of experiments, Experimentation, Large-scale distributed systems, Reproducibility, Testbeds.

Abstract

In the field of large-scale distributed systems, experimentation is particularly difficult. The studied systems are complex, often nondeterministic and unreliable, software is plagued with bugs, whereas the experiment workflows are unclear and hard to reproduce. These obstacles led many independent researchers to design tools to control their experiments, boost productivity and improve quality of scientific results. Despite much research in the domain of distributed systems experiment management, the current fragmentation of efforts asks for a general analysis. We therefore propose to build a framework to uncover missing functionality of these tools, enable meaningful comparisons be-tween them and find recommendations for future improvements and research. The contribution in this paper is twofold. First, we provide an extensive list of features offered by general-purpose experiment management tools dedicated to distributed systems research on real platforms. We then use it to assess existing solutions and compare them, outlining possible future paths for improvements.

Url:

https://hal.inria.fr/hal-01087519

DOI: 10.1016/j.future.2014.10.007

Affiliations:

Links toward previous steps (curation, corpus...)

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to stream Hal, to step Curation: 000978
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Le document en format XML

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<idno type="DOI">10.1016/j.future.2014.10.007</idno>
<series><title level="j">Future Generation Computer Systems</title>
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<profileDesc><textClass><keywords scheme="mix" xml:lang="en"><term>Control of experiments</term>
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<front><div type="abstract" xml:lang="en">In the field of large-scale distributed systems, experimentation is particularly difficult. The studied systems are complex, often nondeterministic and unreliable, software is plagued with bugs, whereas the experiment workflows are unclear and hard to reproduce. These obstacles led many independent researchers to design tools to control their experiments, boost productivity and improve quality of scientific results. Despite much research in the domain of distributed systems experiment management, the current fragmentation of efforts asks for a general analysis. We therefore propose to build a framework to uncover missing functionality of these tools, enable meaningful comparisons be-tween them and find recommendations for future improvements and research. The contribution in this paper is twofold. First, we provide an extensive list of features offered by general-purpose experiment management tools dedicated to distributed systems research on real platforms. We then use it to assess existing solutions and compare them, outlining possible future paths for improvements.</div>
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A survey of general-purpose experiment management tools for distributed systems

A survey of general-purpose experiment management tools for distributed systems

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