An Efficient Data Maintenance Model for Data Service Mashup

Peng Zhang, Guiling Wang, Guang Ji, Yanbo Han
{"title":"An Efficient Data Maintenance Model for Data Service Mashup","authors":"Peng Zhang, Guiling Wang, Guang Ji, Yanbo Han","doi":"10.1109/SCC.2012.10","DOIUrl":null,"url":null,"abstract":"While end-users enjoy the data service mashup with high convenience and flexibility, how to achieve the best performance with minimum maintenance cost is a challenging problem. In this paper, the data maintenance problem is analyzed, and the maintenance cost model for the data service mashup is built. The model measures the response cost and update cost of a group of data service mashups in terms of the request frequency and update frequency. Experiment shows our mashup platform with the model can reduce data maintenance cost.","PeriodicalId":178841,"journal":{"name":"2012 IEEE Ninth International Conference on Services Computing","volume":"55 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2012-06-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2012 IEEE Ninth International Conference on Services Computing","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SCC.2012.10","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

While end-users enjoy the data service mashup with high convenience and flexibility, how to achieve the best performance with minimum maintenance cost is a challenging problem. In this paper, the data maintenance problem is analyzed, and the maintenance cost model for the data service mashup is built. The model measures the response cost and update cost of a group of data service mashups in terms of the request frequency and update frequency. Experiment shows our mashup platform with the model can reduce data maintenance cost.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
数据服务混搭的高效数据维护模型
在最终用户享受数据服务混搭的便利性和灵活性的同时,如何以最小的维护成本实现最佳性能是一个具有挑战性的问题。本文分析了数据服务混搭的维护问题,建立了数据服务混搭的维护成本模型。该模型根据请求频率和更新频率度量一组数据服务mashup的响应成本和更新成本。实验表明,采用该模型的混搭平台可以降低数据维护成本。
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 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
Service Commons -- Serve and Serve Alike: Applying the Creative Commons Spirit to Web Services Dynamic Architecture for Autonomously Managing Service-Based Applications RPPS: A Novel Resource Prediction and Provisioning Scheme in Cloud Data Center Flow Editor: Semantic Web Service Composition Tool Web Service andWorkflow Abstractions to Large Scale Nuclear Physics Calculations
×
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
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 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 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1