Automatic Extraction of Metrics from SLAs for Cloud Service Management
2016 IEEE International Conference on Cloud Engineering (IC2E)(2016)
摘要
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.
更多查看译文
关键词
automatic extraction,cloud service management,cloud based services,performance metrics,cloud service contracts,service level agreements,privacy policy documents,plain text files,human consumption,SLA management,cloud service performance,cloud SLA,natural language processing techniques,Semantic Web technologies,cloud provider Web sites
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络