Streamlining Management of Multiple Cloud Services
Streamlining Management of Multiple Cloud Services
复制标题
简化多种云服务的管理
DOI：
10.1109/cloud.2016.0070
复制
发表时间：
2016
期刊：
影响因子：
--
通讯作者：
A. Joshi
中科院分区：
文献类型：
--
作者：
Aditi Gupta;Sudip Mittal;K. Joshi;C. Pearce;A. Joshi
随着云服务和服务提供商数量的增加，人工分析服务水平协议（SLA），比较不同的服务产品和一致性法规已成为客户的一项艰巨任务。云SLA是描述云提供商和客户之间的法律的协议的策略文档。SLA规定了可用性、服务性能、违规处罚以及客户在服务中断情况下获得赔偿的程序。我们的研究的目的是使用语义Web和文本挖掘技术开发自动化云服务管理的技术解决方案。在本文中，我们详细讨论了自动化云服务管理的挑战，并提出了我们的初步工作，从不同的云服务的SLA提取知识。我们从SLA文档中提取了两类对最终用户有用的信息。一是服务承诺与金融信用的关系。我们通过增强我们在以前的研究中提出的现有云服务本体来表示这些信息。其次，我们提取的形式的义务和许可的SLA使用模态和道义逻辑形式化的规则。在我们的分析中，我们考虑了来自不同云计算服务提供商的六个公开可用的SLA文档。
With the increase in the number of cloud services and service providers, manual analysis of Service Level Agreements (SLA), comparison between different service offerings and conformance regulation has become a difficult task for customers. Cloud SLAs are policy documents describing the legal agreement between cloud providers and customers. SLA specifies the commitment of availability, performance of services, penalties associated with violations and procedure for customers to receive compensations in case of service disruptions. The aim of our research is to develop technology solutions for automated cloud service management using Semantic Web and Text Mining techniques. In this paper we discuss in detail the challenges in automating cloud services management and present our preliminary work in extraction of knowledge from SLAs of different cloud services. We extracted two types of information from the SLA documents which can be useful for end users. First, the relationship between the service commitment and financial credit. We represented this information by enhancing the existing Cloud service ontology proposed by us in our previous research. Second, we extracted rules in the form of obligations and permissions from SLAs using modal and deontic logic formalizations. For our analysis, we considered six publicly available SLA documents from different cloud computing service providers.