使用CHOReOS颁布引擎在云上部署大规模服务组合

Leonardo A. F. Leite, C. Santos, Daniel Cordeiro, M. Gerosa, Fabio Kon
{"title":"使用CHOReOS颁布引擎在云上部署大规模服务组合","authors":"Leonardo A. F. Leite, C. Santos, Daniel Cordeiro, M. Gerosa, Fabio Kon","doi":"10.1109/NCA.2014.25","DOIUrl":null,"url":null,"abstract":"In recent years, service-oriented systems are becoming increasingly complex, with growing size and heterogeneity. Developing and deploying such large-scale systems present several challenges, such as reliability, reproducibility, handling failures on infrastructure, scaling deployment time as composition size grows, coordinating deployment among multiple organizations, dependency management, and supporting requirements of adaptable systems. However, many organizations still rely on manual deployment processes, which imposes difficulties in overcoming such challenges. In this paper, we propose a flexible and extensible middleware solution that addresses the challenges present in the large-scale deployment of service compositions. The CHOReOS Enactment Engine is a robust middleware infrastructure to automate the deployment of large-scale service compositions. We describe the middleware architecture and implementation and then present experimental results demonstrating the feasibility of our approach.","PeriodicalId":399462,"journal":{"name":"2014 IEEE 13th International Symposium on Network Computing and Applications","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2014-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"25","resultStr":"{\"title\":\"Deploying Large-Scale Service Compositions on the Cloud with the CHOReOS Enactment Engine\",\"authors\":\"Leonardo A. F. Leite, C. Santos, Daniel Cordeiro, M. Gerosa, Fabio Kon\",\"doi\":\"10.1109/NCA.2014.25\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In recent years, service-oriented systems are becoming increasingly complex, with growing size and heterogeneity. Developing and deploying such large-scale systems present several challenges, such as reliability, reproducibility, handling failures on infrastructure, scaling deployment time as composition size grows, coordinating deployment among multiple organizations, dependency management, and supporting requirements of adaptable systems. However, many organizations still rely on manual deployment processes, which imposes difficulties in overcoming such challenges. In this paper, we propose a flexible and extensible middleware solution that addresses the challenges present in the large-scale deployment of service compositions. The CHOReOS Enactment Engine is a robust middleware infrastructure to automate the deployment of large-scale service compositions. We describe the middleware architecture and implementation and then present experimental results demonstrating the feasibility of our approach.\",\"PeriodicalId\":399462,\"journal\":{\"name\":\"2014 IEEE 13th International Symposium on Network Computing and Applications\",\"volume\":\"1 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2014-08-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"25\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2014 IEEE 13th International Symposium on Network Computing and Applications\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/NCA.2014.25\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2014 IEEE 13th International Symposium on Network Computing and Applications","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/NCA.2014.25","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 25

摘要

近年来,面向服务的系统变得越来越复杂,规模越来越大,异构性也越来越强。开发和部署这样的大规模系统提出了几个挑战,比如可靠性、再现性、处理基础设施上的故障、随着组合规模的增长而调整部署时间、在多个组织之间协调部署、依赖管理,以及支持可适应系统的需求。然而,许多组织仍然依赖于手动部署过程,这给克服这些挑战带来了困难。在本文中,我们提出了一个灵活且可扩展的中间件解决方案,以解决服务组合大规模部署中存在的挑战。CHOReOS颁布引擎是一个健壮的中间件基础设施,用于自动化大规模服务组合的部署。我们描述了中间件的体系结构和实现,然后给出了实验结果,证明了我们方法的可行性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Deploying Large-Scale Service Compositions on the Cloud with the CHOReOS Enactment Engine
In recent years, service-oriented systems are becoming increasingly complex, with growing size and heterogeneity. Developing and deploying such large-scale systems present several challenges, such as reliability, reproducibility, handling failures on infrastructure, scaling deployment time as composition size grows, coordinating deployment among multiple organizations, dependency management, and supporting requirements of adaptable systems. However, many organizations still rely on manual deployment processes, which imposes difficulties in overcoming such challenges. In this paper, we propose a flexible and extensible middleware solution that addresses the challenges present in the large-scale deployment of service compositions. The CHOReOS Enactment Engine is a robust middleware infrastructure to automate the deployment of large-scale service compositions. We describe the middleware architecture and implementation and then present experimental results demonstrating the feasibility of our approach.
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