Walker: DevOps启发的实验工作流程

Mikolaj Chwalisz, Kai Geissdoerfer, A. Wolisz
{"title":"Walker: DevOps启发的实验工作流程","authors":"Mikolaj Chwalisz, Kai Geissdoerfer, A. Wolisz","doi":"10.1109/INFCOMW.2019.8845199","DOIUrl":null,"url":null,"abstract":"Experimentation with computer networks under realistic conditions is a necessary step in debugging, profiling and validation towards real deployments and applications. Although the definition of relevant experimentation scenarios is usually relatively straightforward, their implementation and execution are unfortunately difficult and tedious. Generation of extensive experiment documentation assuring replicability is increasingly challenging even for experienced researchers. In this paper, we explain how a typical experimentation workflow can be supported using properly selected tools and components from the DevOps ecosystem, leading to repeatable, well-defined measurements. We start with a general approach using ad-hoc setups. Next, we show how the featured set of tools can be used with, and benefit from, existing testbeds.","PeriodicalId":321862,"journal":{"name":"IEEE INFOCOM 2019 - IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS)","volume":"18 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":"{\"title\":\"Walker: DevOps Inspired Workflow for Experimentation\",\"authors\":\"Mikolaj Chwalisz, Kai Geissdoerfer, A. Wolisz\",\"doi\":\"10.1109/INFCOMW.2019.8845199\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Experimentation with computer networks under realistic conditions is a necessary step in debugging, profiling and validation towards real deployments and applications. Although the definition of relevant experimentation scenarios is usually relatively straightforward, their implementation and execution are unfortunately difficult and tedious. Generation of extensive experiment documentation assuring replicability is increasingly challenging even for experienced researchers. In this paper, we explain how a typical experimentation workflow can be supported using properly selected tools and components from the DevOps ecosystem, leading to repeatable, well-defined measurements. We start with a general approach using ad-hoc setups. Next, we show how the featured set of tools can be used with, and benefit from, existing testbeds.\",\"PeriodicalId\":321862,\"journal\":{\"name\":\"IEEE INFOCOM 2019 - IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS)\",\"volume\":\"18 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2019-04-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"3\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"IEEE INFOCOM 2019 - IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/INFCOMW.2019.8845199\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"IEEE INFOCOM 2019 - IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/INFCOMW.2019.8845199","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 3

摘要

在现实条件下对计算机网络进行实验是调试、分析和验证实际部署和应用程序的必要步骤。尽管相关实验场景的定义通常相对简单,但不幸的是,它们的实现和执行是困难和乏味的。即使对经验丰富的研究人员来说,确保可复制性的大量实验文件的生成也越来越具有挑战性。在本文中,我们解释了如何使用DevOps生态系统中适当选择的工具和组件来支持典型的实验工作流,从而导致可重复的,定义良好的测量。我们从使用临时设置的一般方法开始。接下来,我们将展示如何将这组工具与现有的测试平台一起使用,并从中获益。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Walker: DevOps Inspired Workflow for Experimentation
Experimentation with computer networks under realistic conditions is a necessary step in debugging, profiling and validation towards real deployments and applications. Although the definition of relevant experimentation scenarios is usually relatively straightforward, their implementation and execution are unfortunately difficult and tedious. Generation of extensive experiment documentation assuring replicability is increasingly challenging even for experienced researchers. In this paper, we explain how a typical experimentation workflow can be supported using properly selected tools and components from the DevOps ecosystem, leading to repeatable, well-defined measurements. We start with a general approach using ad-hoc setups. Next, we show how the featured set of tools can be used with, and benefit from, existing testbeds.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信