Automatic Extraction of Metrics from SLAs for Cloud Service Management
Automatic Extraction of Metrics from SLAs for Cloud Service Management
复制标题
从 SLA 中自动提取指标以进行云服务管理
DOI：
10.1109/ic2e.2016.14
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发表时间：
2016
期刊：
影响因子：
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通讯作者：
A. Joshi
中科院分区：
文献类型：
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作者：
Sudip Mittal;K. Joshi;C. Pearce;A. Joshi
为了有效地管理基于云的服务，组织需要持续监控云服务合同中列出的性能指标。然而，这些法律的文档，如服务水平协议（SLA）或隐私策略文档，当前作为主要用于人类消费的纯文本文件来管理。此外，提供商通常为其服务定义自己的性能指标。这些因素阻碍了SLA管理的自动化，并且需要手动工作来监控云服务性能。我们已经使用自然语言处理技术和语义Web技术显著地自动化了提取、管理和监控云SLA的过程。在本文中，我们描述了我们的技术方法和本体，我们已经开发的描述，管理和原因有关云SLA。我们还描述了我们开发的原型系统，该系统用于从云提供商网站上提供的法律的服务条款中自动提取信息。
To effectively manage cloud based services, organizations need to continuously monitor the performance metrics listed in the Cloud service contracts. However, these legal documents, like Service Level Agreements (SLA) or privacy policy documents, are currently managed as plain text files meant principally for human consumption. Additionally, providers often define their own performance metrics for their services. These factors hinder the automation of SLA management and require manual effort to monitor the cloud service performance. We have significantly automated the process of extracting, managing and monitoring cloud SLA using natural language processing techniques and Semantic Web technologies. In this paper, we describe our technical approach and the ontology that we have developed to describe, manage, and reason about cloud SLAs. We also describe the prototype system that we have developed to automatically extract information from legal Terms of Service that are available on cloud provider websites.