COMET: A Distributed Metadata Service for Federated Cloud Infrastructures

Cong Wang, Komal Thareja, M. Stealey, P. Ruth, I. Baldin
{"title":"COMET: A Distributed Metadata Service for Federated Cloud Infrastructures","authors":"Cong Wang, Komal Thareja, M. Stealey, P. Ruth, I. Baldin","doi":"10.1109/HPEC.2019.8916536","DOIUrl":null,"url":null,"abstract":"Majority of today’s cloud services are independently operated by individual cloud service providers. In this approach, the locations of cloud resources are strictly constrained by the distribution of cloud service providers’ sites. As the popularity and scale of cloud services increases, we believe this traditional paradigm is about to change toward further federated services, a.k.a., multi-cloud, due the improved performance, reduced cost of compute, storage and network resources, as well as the increased user demands. In this paper, we present COMET, a light weight, distributed storage system for managing metadata on large scale, federated cloud infrastructure providers, end users, and their applications. We use two use cases from NSF’s ExoGENI and Chameleon research cloud testbeds to show the effectiveness of COMET design and deployment.","PeriodicalId":184253,"journal":{"name":"2019 IEEE High Performance Extreme Computing Conference (HPEC)","volume":"47 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2019 IEEE High Performance Extreme Computing Conference (HPEC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/HPEC.2019.8916536","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1

Abstract

Majority of today’s cloud services are independently operated by individual cloud service providers. In this approach, the locations of cloud resources are strictly constrained by the distribution of cloud service providers’ sites. As the popularity and scale of cloud services increases, we believe this traditional paradigm is about to change toward further federated services, a.k.a., multi-cloud, due the improved performance, reduced cost of compute, storage and network resources, as well as the increased user demands. In this paper, we present COMET, a light weight, distributed storage system for managing metadata on large scale, federated cloud infrastructure providers, end users, and their applications. We use two use cases from NSF’s ExoGENI and Chameleon research cloud testbeds to show the effectiveness of COMET design and deployment.
COMET:用于联邦云基础设施的分布式元数据服务
今天的大多数云服务都是由各个云服务提供商独立运营的。在这种方法中,云资源的位置受到云服务提供商站点分布的严格限制。随着云服务的普及和规模的增加,我们相信由于性能的提高、计算、存储和网络资源成本的降低以及用户需求的增加,这种传统模式将向进一步的联合服务(即多云)转变。在本文中,我们介绍了COMET,这是一个轻量级的分布式存储系统,用于管理大规模、联合云基础设施提供商、最终用户及其应用程序的元数据。我们使用来自NSF的ExoGENI和Chameleon研究云测试平台的两个用例来展示COMET设计和部署的有效性。
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