...
首页> 外文期刊>Services Computing, IEEE Transactions on >Modeling Service Level Agreements with Linked USDL Agreement
【24h】

Modeling Service Level Agreements with Linked USDL Agreement

机译:使用链接的USDL协议为服务水平协议建模

获取原文
获取原文并翻译 | 示例

摘要

Nowadays, service trading over the Web is gaining momentum. In this highly dynamic scenario, both providers and consumers need to formalize their contractual and legal relationship, creating service level agreements. Although there exist some proposals that provide models to describe that relationship, they usually only cover technical aspects, not providing explicit semantics to the agreement terms. Furthermore, these models cannot be effectively shared on the Web, since they do not actually follow Web principles. These drawbacks hamper take-up and automatic analysis. In this article, we introduce Linked USDL Agreement, a semantic model to specify, manage and share service level agreement descriptions on the Web. This model is part of the Linked USDL family of ontologies that can describe not only technical but also business related aspects of services, incorporating Web principles. We validate our proposal by describing agreements in computational and non-computational scenarios, namely cloud computing and business process outsourcing services. Moreover, we evaluate the actual coverage and expressiveness of Linked USDL Agreement comparing it with existing models. In order to foster its adoption and effectively manage the service level agreement lifecycle, we present an implemented tool that supports creation, automatic analysis, and publication on the Web of agreement descriptions.
机译:如今,通过Web进行服务交易正在蓬勃发展。在这种高度动态的情况下,提供者和消费者都需要正规化其合同和法律关系,并创建服务水平协议。尽管有一些提议提供了描述这种关系的模型,但它们通常仅涵盖技术方面,而没有为协议条款提供明确的语义。此外,由于这些模型实际上并未遵循Web原理,因此无法在Web上有效共享。这些缺点妨碍了收卷和自动分析。在本文中,我们介绍链接的USDL协议,这是一个语义模型,用于在Web上指定,管理和共享服务级别协议描述。该模型是Linked USDL本体家族的一部分,该本体不仅可以描述技术,而且可以结合Web原理描述服务的业务相关方面。我们通过描述计算和非计算方案(即云计算和业务流程外包服务)中的协议来验证我们的建议。此外,我们将其与现有模型进行了比较,评估了链接USDL协议的实际涵盖范围和表达能力。为了促进其采用并有效管理服务水平协议的生命周期,我们提供了一个已实现的工具,该工具支持协议描述Web上的创建,自动分析和发布。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号