Fast Prototyping of Distributed Stream Processing Applications with stream2gym

Md. Monzurul Amin Ifath, Miguel Neves, Israat Haque
{"title":"Fast Prototyping of Distributed Stream Processing Applications with stream2gym","authors":"Md. Monzurul Amin Ifath, Miguel Neves, Israat Haque","doi":"arxiv-2409.00577","DOIUrl":null,"url":null,"abstract":"Stream processing applications have been widely adopted due to real-time data\nanalytics demands, e.g., fraud detection, video analytics, IoT applications.\nUnfortunately, prototyping and testing these applications is still a cumbersome\nprocess for developers that usually requires an expensive testbed and deep\nmulti-disciplinary expertise, including in areas such as networking,\ndistributed systems, and data engineering. As a result, it takes a long time to\ndeploy stream processing applications into production and yet users face\nseveral correctness and performance issues. In this paper, we present\nstream2gym, a tool for the fast prototyping of large-scale distributed stream\nprocessing applications. stream2gym builds on Mininet, a widely adopted network\nemulation platform, and provides a high-level interface to enable developers to\neasily test their applications under various operating conditions. We\ndemonstrate the benefits of stream2gym by prototyping and testing several\napplications as well as reproducing key findings from prior research work in\nvideo analytics and network traffic monitoring. Moreover, we show stream2gym\npresents accurate results compared to a hardware testbed while consuming a\nsmall amount of resources (enough to be supported in a single commodity laptop\neven when emulating a dozen of processing nodes).","PeriodicalId":501280,"journal":{"name":"arXiv - CS - Networking and Internet Architecture","volume":"17 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2024-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"arXiv - CS - Networking and Internet Architecture","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/arxiv-2409.00577","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

Abstract

Stream processing applications have been widely adopted due to real-time data analytics demands, e.g., fraud detection, video analytics, IoT applications. Unfortunately, prototyping and testing these applications is still a cumbersome process for developers that usually requires an expensive testbed and deep multi-disciplinary expertise, including in areas such as networking, distributed systems, and data engineering. As a result, it takes a long time to deploy stream processing applications into production and yet users face several correctness and performance issues. In this paper, we present stream2gym, a tool for the fast prototyping of large-scale distributed stream processing applications. stream2gym builds on Mininet, a widely adopted network emulation platform, and provides a high-level interface to enable developers to easily test their applications under various operating conditions. We demonstrate the benefits of stream2gym by prototyping and testing several applications as well as reproducing key findings from prior research work in video analytics and network traffic monitoring. Moreover, we show stream2gym presents accurate results compared to a hardware testbed while consuming a small amount of resources (enough to be supported in a single commodity laptop even when emulating a dozen of processing nodes).
利用 stream2gym 快速构建分布式流处理应用原型
由于实时数据分析的需求,流处理应用已被广泛采用,例如欺诈检测、视频分析、物联网应用等。遗憾的是,对开发人员来说,原型开发和测试这些应用仍然是一个繁琐的过程,通常需要昂贵的测试平台和深厚的多学科专业知识,包括网络、分布式系统和数据工程等领域的知识。因此,将流处理应用部署到生产中需要很长时间,而用户却要面对平均正确性和性能问题。本文介绍了用于大规模分布式流处理应用快速原型开发的工具--stream2gym。stream2gym 建立在广泛采用的网络仿真平台 Mininet 上,提供了一个高级界面,使开发人员能够在各种运行条件下轻松测试他们的应用。我们通过原型开发和测试多个应用,以及重现先前在视频分析和网络流量监控方面的研究成果,展示了 stream2gym 的优势。此外,我们还展示了与硬件测试平台相比,stream2gym 在消耗少量资源(足以支持单个商品笔记本电脑,甚至在模拟十几个处理节点时也是如此)的情况下获得的精确结果。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
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