当前位置: X-MOL 学术IEEE Trans. Serv. Comput. › 论文详情
Our official English website, www.x-mol.net, welcomes your feedback! (Note: you will need to create a separate account there.)
A Semantically Rich Framework to Automate Cloud Service Level Agreements
IEEE Transactions on Services Computing ( IF 8.1 ) Pub Date : 2022-01-11 , DOI: 10.1109/tsc.2022.3140585
Divya Natolana Ganapathy , Karuna Pande Joshi

Consumers evaluate and choose cloud-based services based on the Service Level Agreements (SLA). These agreements list the service terms and metrics to be agreed upon by the service providers and the customers. Current cloud SLAs are text documents that require significant manual effort to parse and determine if providers meet the SLAs. Moreover, due to the lack of standardization, providers differ in the way they define the terms and metrics, making it more difficult to compare different provider SLAs. We have developed a novel framework to significantly automate the process of extracting knowledge embedded in cloud SLAs and representing it in a semantically rich knowledge graph helping the user to make a calculated decision in choosing a provider. Our framework captures the key terms, measures, and deontic rules, in the form of obligations and permissions present in the cloud SLAs. In this article, we discuss our framework, technique, and challenges in automating the cloud services agreement. We also describe our results and their validation against well-established standards.

中文翻译:

一个语义丰富的框架来自动化云服务水平协议

消费者根据服务水平协议 (SLA) 评估和选择基于云的服务。这些协议列出了服务提供商和客户要达成一致的服务条款和指标。当前的云 SLA 是文本文档,需要大量手动工作来解析和确定提供商是否满足 SLA。此外,由于缺乏标准化,提供商定义术语和指标的方式各不相同,这使得比较不同提供商的 SLA 变得更加困难。我们开发了一个新颖的框架,可以显着自动化提取云 SLA 中嵌入的知识并在语义丰富的知识图中表示它的过程,帮助用户在选择提供商时做出经过计算的决策。我们的框架捕获了关键术语、度量和道义规则,以云 SLA 中存在的义务和权限的形式。在本文中,我们讨论了我们的框架、技术和自动化云服务协议的挑战。我们还描述了我们的结果及其针对公认标准的验证。
更新日期:2022-01-11
down
wechat
bug