Dynamic service composition towards database virtualization for efficient data management

Anshuk Dubey, S. Pal
{"title":"Dynamic service composition towards database virtualization for efficient data management","authors":"Anshuk Dubey, S. Pal","doi":"10.1109/CONFLUENCE.2017.7943206","DOIUrl":null,"url":null,"abstract":"Automated data centric technology of Cloud computing facilitate the end users through the service module, named SaaS. Where, these group of end users are either be skilled or unskilled. Recently, the most intellectual decision is to retrieve the requested data from the enormous flooded data storage through the service based cloud architecture by any type of cloud users through the remarkably efficient way using the methodologies like DBaaS, multi-tenancy, database integration. Among them, multi-tenancy and database integration can be applicable in the SaaS service model through the tightly coupled nature of service composition. But, this static service composition suffers from implementation complexity, cost factor, flexibility and scalability for further database adaptability and efficient data availability. Here, the proposed Dynamic Service Composition (abbreviated as DSC) methodology is sophisticated enough to retrieve different types of data from the multiple heterogeneous cloud databases after connectivity setup with new databases at runtime and on-demand basis. This dynamic database connectivity through the loosely coupled service composition is able to supply the requested data within a revolutionary computational speed. This methodology is able to overcome the challenges introduced by static service composition. DSC can govern multiple cloud databases through the flexible services connectivity without any information about their position in the cloud. This concept can be termed as database virtualization. Overall, the proposed DSC mechanism can monitor heterogeneous cloud databases and is responsible for significant growth over computational power for efficient data availability within a remarkable lower cost in a flexible and scalable way.","PeriodicalId":6651,"journal":{"name":"2017 7th International Conference on Cloud Computing, Data Science & Engineering - Confluence","volume":"61 1","pages":"519-526"},"PeriodicalIF":0.0000,"publicationDate":"2017-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2017 7th International Conference on Cloud Computing, Data Science & Engineering - Confluence","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CONFLUENCE.2017.7943206","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

Automated data centric technology of Cloud computing facilitate the end users through the service module, named SaaS. Where, these group of end users are either be skilled or unskilled. Recently, the most intellectual decision is to retrieve the requested data from the enormous flooded data storage through the service based cloud architecture by any type of cloud users through the remarkably efficient way using the methodologies like DBaaS, multi-tenancy, database integration. Among them, multi-tenancy and database integration can be applicable in the SaaS service model through the tightly coupled nature of service composition. But, this static service composition suffers from implementation complexity, cost factor, flexibility and scalability for further database adaptability and efficient data availability. Here, the proposed Dynamic Service Composition (abbreviated as DSC) methodology is sophisticated enough to retrieve different types of data from the multiple heterogeneous cloud databases after connectivity setup with new databases at runtime and on-demand basis. This dynamic database connectivity through the loosely coupled service composition is able to supply the requested data within a revolutionary computational speed. This methodology is able to overcome the challenges introduced by static service composition. DSC can govern multiple cloud databases through the flexible services connectivity without any information about their position in the cloud. This concept can be termed as database virtualization. Overall, the proposed DSC mechanism can monitor heterogeneous cloud databases and is responsible for significant growth over computational power for efficient data availability within a remarkable lower cost in a flexible and scalable way.
面向数据库虚拟化的动态服务组合,实现高效的数据管理
云计算以数据为中心的自动化技术,通过SaaS服务模块为最终用户提供便利。其中,这些最终用户组要么是熟练的,要么是不熟练的。最近,最明智的决策是,通过基于服务的云架构,任何类型的云用户都可以通过使用DBaaS、多租户、数据库集成等方法的非常有效的方式,从大量泛滥的数据存储中检索所请求的数据。其中,通过服务组合的紧密耦合特性,多租户和数据库集成可以应用于SaaS服务模型。但是,这种静态服务组合存在实现复杂性、成本因素、灵活性和可伸缩性等问题,无法实现进一步的数据库适应性和有效的数据可用性。在这里,建议的动态服务组合(简称为DSC)方法非常复杂,可以在运行时和按需基础上与新数据库建立连接后,从多个异构云数据库检索不同类型的数据。这种通过松散耦合的服务组合实现的动态数据库连接能够以革命性的计算速度提供所请求的数据。这种方法能够克服静态服务组合带来的挑战。DSC可以通过灵活的服务连接来管理多个云数据库,而不需要任何关于它们在云中位置的信息。这个概念可以称为数据库虚拟化。总的来说,所建议的DSC机制可以监控异构云数据库,并负责以灵活和可扩展的方式以显着降低的成本实现高效数据可用性的计算能力的显著增长。
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