Towards Dispersed Cloud Computing

Josef Spillner, A. Schill
{"title":"Towards Dispersed Cloud Computing","authors":"Josef Spillner, A. Schill","doi":"10.1109/BlackSeaCom.2014.6849032","DOIUrl":null,"url":null,"abstract":"The growing number of locally and globally connected devices and infrastructure services is symptomatic for increasing user requirements on convenient, comfortable, fast and cheap remote computing and access to data. Distributed computing techniques in combination with on-demand Clouds help matching the requirements and the offered resources. This paper evaluates existing distributed computing models according to their specific code, data and resource handling and defines a specific one, called dispersed computing, by consolidating existing research on dispersed data transmission, data storage and code execution. It furthermore contributes a mapping of the model to typical Cloud environments. Complementary, we share our experience with dispersed computing implementations.","PeriodicalId":427901,"journal":{"name":"2014 IEEE International Black Sea Conference on Communications and Networking (BlackSeaCom)","volume":"54 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2014-05-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"10","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2014 IEEE International Black Sea Conference on Communications and Networking (BlackSeaCom)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/BlackSeaCom.2014.6849032","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 10

Abstract

The growing number of locally and globally connected devices and infrastructure services is symptomatic for increasing user requirements on convenient, comfortable, fast and cheap remote computing and access to data. Distributed computing techniques in combination with on-demand Clouds help matching the requirements and the offered resources. This paper evaluates existing distributed computing models according to their specific code, data and resource handling and defines a specific one, called dispersed computing, by consolidating existing research on dispersed data transmission, data storage and code execution. It furthermore contributes a mapping of the model to typical Cloud environments. Complementary, we share our experience with dispersed computing implementations.
走向分散的云计算
越来越多的本地和全球连接的设备和基础设施服务表明,用户对方便、舒适、快速和廉价的远程计算和访问数据的需求日益增加。分布式计算技术与按需云相结合有助于匹配需求和提供的资源。本文从具体的代码、数据和资源处理等方面对现有的分布式计算模型进行了评价,并通过整合已有的分散数据传输、数据存储和代码执行方面的研究,定义了一种具体的分布式计算模型,称为分散计算。它还提供了模型到典型云环境的映射。此外,我们还分享了我们在分散计算实现方面的经验。
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