不同微服务部署模型对资源的有效利用

2018 IEEE 17th International Symposium on Network Computing and Applications (NCA) Pub Date : 2018-11-01 DOI:10.1109/NCA.2018.8548346

Fernando H. L. Buzato, A. Goldman, D. Batista

{"title":"不同微服务部署模型对资源的有效利用","authors":"Fernando H. L. Buzato, A. Goldman, D. Batista","doi":"10.1109/NCA.2018.8548346","DOIUrl":null,"url":null,"abstract":"The adoption of microservice-based architecture has become increasingly popular. Microservice containerization is a technique used by developers to facilitate the deployment process of applications based on this architecture. There are several implementation models for microservices. In this paper we study and analyze the performance of these models in terms of the use of network, CPU, memory and disk. Pros and cons related to the development process are also discussed. Among the results obtained with measurements made in a public cloud, the significant reductions in network consumption (up to 99%) are noteworthy when using one container per microservice.","PeriodicalId":268662,"journal":{"name":"2018 IEEE 17th International Symposium on Network Computing and Applications (NCA)","volume":"42 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"10","resultStr":"{\"title\":\"Efficient Resources Utilization by Different Microservices Deployment Models\",\"authors\":\"Fernando H. L. Buzato, A. Goldman, D. Batista\",\"doi\":\"10.1109/NCA.2018.8548346\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The adoption of microservice-based architecture has become increasingly popular. Microservice containerization is a technique used by developers to facilitate the deployment process of applications based on this architecture. There are several implementation models for microservices. In this paper we study and analyze the performance of these models in terms of the use of network, CPU, memory and disk. Pros and cons related to the development process are also discussed. Among the results obtained with measurements made in a public cloud, the significant reductions in network consumption (up to 99%) are noteworthy when using one container per microservice.\",\"PeriodicalId\":268662,\"journal\":{\"name\":\"2018 IEEE 17th International Symposium on Network Computing and Applications (NCA)\",\"volume\":\"42 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2018-11-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"10\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2018 IEEE 17th International Symposium on Network Computing and Applications (NCA)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/NCA.2018.8548346\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2018 IEEE 17th International Symposium on Network Computing and Applications (NCA)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/NCA.2018.8548346","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}

引用次数: 10

摘要

采用基于微服务的体系结构已经变得越来越流行。微服务容器化是开发人员用来促进基于该体系结构的应用程序部署过程的一种技术。微服务有几种实现模型。本文从网络使用、CPU使用、内存使用和磁盘使用等方面对这些模型的性能进行了研究和分析。还讨论了与开发过程相关的优点和缺点。在公共云中进行的测量结果中，当每个微服务使用一个容器时，网络消耗的显著减少(高达99%)值得注意。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

查看原文本刊更多论文

Efficient Resources Utilization by Different Microservices Deployment Models

The adoption of microservice-based architecture has become increasingly popular. Microservice containerization is a technique used by developers to facilitate the deployment process of applications based on this architecture. There are several implementation models for microservices. In this paper we study and analyze the performance of these models in terms of the use of network, CPU, memory and disk. Pros and cons related to the development process are also discussed. Among the results obtained with measurements made in a public cloud, the significant reductions in network consumption (up to 99%) are noteworthy when using one container per microservice.

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

2018 IEEE 17th International Symposium on Network Computing and Applications (NCA)

自引率

0.00%

发文量