A Variability Modeling Method for Adaptable Services in Service-Oriented Computing

Soo-Ho Chang, Soo Dong Kim
{"title":"A Variability Modeling Method for Adaptable Services in Service-Oriented Computing","authors":"Soo-Ho Chang, Soo Dong Kim","doi":"10.1109/SPLINE.2007.10","DOIUrl":null,"url":null,"abstract":"Publish-discover-compose paradigm of service-oriented computing (SOC) presents a challenge on service applicability. Services are not just for predefined clients, rather for potentially many unknown clients. Hence, published services should be highly adaptable to various service clients and contexts. For that, service variability must carefully be modeled by considering the unique computing paradigm and requirements of SOC such as dynamic discovery and composition of services. Current SOC approaches to modeling services largely focus on defining business processes and service components without considering service variability in sufficient details. In this paper, we first compare the variability on conventional applications and the variability on SOC. Then, we identify four types of variability on services. For the types of service variability, we present a method to model service variability and design adaptable services. Using our proposed framework, we believe the applicability and reusability of such services can be greatly increased.","PeriodicalId":202515,"journal":{"name":"11th International Software Product Line Conference (SPLC 2007)","volume":"21 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2007-09-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"70","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"11th International Software Product Line Conference (SPLC 2007)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SPLINE.2007.10","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 70

Abstract

Publish-discover-compose paradigm of service-oriented computing (SOC) presents a challenge on service applicability. Services are not just for predefined clients, rather for potentially many unknown clients. Hence, published services should be highly adaptable to various service clients and contexts. For that, service variability must carefully be modeled by considering the unique computing paradigm and requirements of SOC such as dynamic discovery and composition of services. Current SOC approaches to modeling services largely focus on defining business processes and service components without considering service variability in sufficient details. In this paper, we first compare the variability on conventional applications and the variability on SOC. Then, we identify four types of variability on services. For the types of service variability, we present a method to model service variability and design adaptable services. Using our proposed framework, we believe the applicability and reusability of such services can be greatly increased.
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
面向服务计算中自适应服务的可变性建模方法
面向服务计算(SOC)的发布-发现-组合范式对服务的适用性提出了挑战。服务不仅适用于预定义的客户端,还适用于潜在的许多未知客户端。因此,发布的服务应该高度适应各种服务客户机和上下文。为此,必须通过考虑独特的计算范例和SOC的需求(如动态发现和服务组合)来仔细地对服务可变性进行建模。当前用于服务建模的SOC方法主要关注于定义业务流程和服务组件,而没有足够详细地考虑服务的可变性。在本文中,我们首先比较了传统应用和SOC上的可变性。然后,我们确定了服务上的四种可变性。针对服务可变性的类型,提出了一种服务可变性建模和自适应服务设计的方法。使用我们提出的框架,我们相信这些服务的适用性和可重用性可以大大提高。
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
Software Product Lines Beyond Software Development The 3-Tiered Methodology: Pragmatic Insights from New Generation Software Product Lines A Production System for Software Product Lines Supporting Product Derivation by Adapting and Augmenting Variability Models Dynamic Complexity and the Owen Firmware Product Line Program
×
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