QoS-Aware Service Composition in Mobile Environments

N. Ngoc, Donghui Lin, Takao Nakaguchi, T. Ishida
{"title":"QoS-Aware Service Composition in Mobile Environments","authors":"N. Ngoc, Donghui Lin, Takao Nakaguchi, T. Ishida","doi":"10.1109/SOCA.2014.51","DOIUrl":null,"url":null,"abstract":"Service composition involves combining many existing services to solve a complex task in the service-oriented environment. Due to the progress in modern smart devices, mobile devices can now act as service providers. The mobility of mobile service providers and the dynamism of the mobile environment are unique features. As a result, there are two issues with service composition in mobile environments: (1) how to use the mobility of devices as an non-functional Quality of Service (QoS) criterion, and (2) how to deal with the dynamism of the mobile environment to realize the optimal service composition. In order to deal with above issues, we proposed a QoS-aware service composition model for service composition in mobile environments considering the feature of mobility in the mobile environment. Moreover, we proposed an adaptive approach called k-neighbor. The main idea of k-neighbor approach is to decompose the composite service into smaller elementary composite services then to set up a solution plan for those elementary composite services based on the available provider set. The evaluation shows that the way of decomposing a composite service adapts to different dynamism of the environment.","PeriodicalId":138805,"journal":{"name":"2014 IEEE 7th International Conference on Service-Oriented Computing and Applications","volume":"19 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2014-11-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"6","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2014 IEEE 7th International Conference on Service-Oriented Computing and Applications","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SOCA.2014.51","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 6

Abstract

Service composition involves combining many existing services to solve a complex task in the service-oriented environment. Due to the progress in modern smart devices, mobile devices can now act as service providers. The mobility of mobile service providers and the dynamism of the mobile environment are unique features. As a result, there are two issues with service composition in mobile environments: (1) how to use the mobility of devices as an non-functional Quality of Service (QoS) criterion, and (2) how to deal with the dynamism of the mobile environment to realize the optimal service composition. In order to deal with above issues, we proposed a QoS-aware service composition model for service composition in mobile environments considering the feature of mobility in the mobile environment. Moreover, we proposed an adaptive approach called k-neighbor. The main idea of k-neighbor approach is to decompose the composite service into smaller elementary composite services then to set up a solution plan for those elementary composite services based on the available provider set. The evaluation shows that the way of decomposing a composite service adapts to different dynamism of the environment.
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
移动环境中的qos感知服务组合
服务组合涉及到组合许多现有服务来解决面向服务环境中的复杂任务。由于现代智能设备的进步,移动设备现在可以充当服务提供商。移动服务提供商的移动性和移动环境的动态性是独特的特征。因此,移动环境中的服务组合存在两个问题:(1)如何将设备的移动性作为非功能服务质量(QoS)标准,以及(2)如何处理移动环境的动态性以实现最优的服务组合。为了解决上述问题,考虑到移动环境的移动性特点,提出了一种面向qos的移动环境服务组合模型。此外,我们还提出了一种自适应的k近邻方法。k邻居方法的主要思想是将组合服务分解为较小的基本组合服务,然后根据可用的提供者集为这些基本组合服务建立解决方案计划。评价结果表明,复合服务的分解方法能够适应不同的动态环境。
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
SCE^MT: A Multi-tenant Service Composition Engine A User-Friendly Authentication Solution Using NFC Card Emulation on Android Crowdsourced Mobile Sensing for Smarter City Life Improved Heuristics with Data Rounding for Combinatorial Food Packing Problems Situated Engagement and Virtual Services in a Smart City
×
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