A Coordination-Based Brokerage Architecture for Multi-cloud Resource Markets

S. Aldawood, Frank Fowley, C. Pahl, D. Taibi, Xiaodong Liu
{"title":"A Coordination-Based Brokerage Architecture for Multi-cloud Resource Markets","authors":"S. Aldawood, Frank Fowley, C. Pahl, D. Taibi, Xiaodong Liu","doi":"10.1109/W-FiCloud.2016.19","DOIUrl":null,"url":null,"abstract":"With an increasing number of service providers in the cloud market, the competition between these is also increasing. Each provider attempts to attract customers by providing a high quality service with lowest possible cost and at the same time trying to make profit. Often, cloud resources are advertised and brokered in a spot market style, i.e., traded for immediate delivery. This paper proposes an architecture for a brokerage model specifically for multi-cloud resource spot markets that integrates the resource brokerage function across several cloud providers. We use a tuple space architecture to facilitate coordination. This architecture supports specifically multiple cloud providers selling unused resources in the spot market. To support the matching process by finding the best match between customer requirements and providers, offers are matched with regard the lowest possible cost available for the customer in the market at the time of the request. The key role of this architecture is to provide the coordination techniques built on a tuple space, adapted to the cloud spot market.","PeriodicalId":441441,"journal":{"name":"2016 IEEE 4th International Conference on Future Internet of Things and Cloud Workshops (FiCloudW)","volume":"36 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2016-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2016 IEEE 4th International Conference on Future Internet of Things and Cloud Workshops (FiCloudW)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/W-FiCloud.2016.19","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 3

Abstract

With an increasing number of service providers in the cloud market, the competition between these is also increasing. Each provider attempts to attract customers by providing a high quality service with lowest possible cost and at the same time trying to make profit. Often, cloud resources are advertised and brokered in a spot market style, i.e., traded for immediate delivery. This paper proposes an architecture for a brokerage model specifically for multi-cloud resource spot markets that integrates the resource brokerage function across several cloud providers. We use a tuple space architecture to facilitate coordination. This architecture supports specifically multiple cloud providers selling unused resources in the spot market. To support the matching process by finding the best match between customer requirements and providers, offers are matched with regard the lowest possible cost available for the customer in the market at the time of the request. The key role of this architecture is to provide the coordination techniques built on a tuple space, adapted to the cloud spot market.
基于协调的多云资源市场经纪体系结构
随着云市场上服务提供商的数量不断增加,这些服务提供商之间的竞争也越来越激烈。每个供应商都试图以尽可能低的成本提供高质量的服务来吸引客户,同时试图盈利。通常,云资源以现货市场的方式进行广告和交易,即即时交割。本文提出了一种专门针对多云资源现货市场的经纪模型架构,该模型集成了跨多个云提供商的资源经纪功能。我们使用元组空间架构来促进协调。该架构特别支持多个云提供商在现货市场上出售未使用的资源。为了通过在客户需求和供应商之间找到最佳匹配来支持匹配过程,在提出请求时,根据市场上客户可获得的最低可能成本来匹配报价。该体系结构的关键作用是提供构建在元组空间上的协调技术,以适应云现货市场。
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