TSLA:基于图灵的不同云部署的服务水平协议评估模型

2017 Third International Conference on Research in Computational Intelligence and Communication Networks (ICRCICN) Pub Date : 2017-11-01 DOI:10.1109/ICRCICN.2017.8234499

J. Datta, Indrajit Pan, S. Bhattacharyya

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引用次数: 3

摘要

随着时间的推移，云服务越来越受欢迎。服务水平协议(SLA)用于客户端和云服务提供商(CSP)之间的基本理解。确保安全及适当的服务是顾客的基本需求。在这项工作中，确定了云服务级别协议的一组遵从性参数。通用规则库被设计为使用自动化模型来授权流程。最后，开发了一个图灵模型，用于自动监控和评估云服务提供商和云客户端之间的服务水平协议。此通用模型适用于不同的云部署模型，并与WS-agreement集进行了调优。

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TSLA: Turing based service level agreement assessment model over diverse cloud deployments

Cloud services are gaining popularity with times. Service level agreement (SLA) serves a basic understanding between the clients and cloud service providers (CSP). Ensuring secured and adequate service is a basic need of the customers. In this work a set of compliance parameters for cloud service level agreement is identified. A generic rule base is designed to empower the process with an automated model. Finally a Turing model has been developed for automated monitoring and assessment of service level agreement between cloud service provider and cloud client. This generic model is suitable for different cloud deployment models and attuned with WS-agreement set.

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2017 Third International Conference on Research in Computational Intelligence and Communication Networks (ICRCICN)

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