Building an Expert System for Evaluation of Commercial Cloud Services

Zheng Li, L. O'Brien, Rainbow Cai, He Zhang
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引用次数: 2

Abstract

Commercial Cloud services have been increasingly supplied to customers in industry. To facilitate customers' decision makings like cost-benefit analysis or Cloud provider selection, evaluation of those Cloud services are becoming more and more crucial. However, compared with evaluation of traditional computing systems, more challenges will inevitably appear when evaluating rapidly-changing and user-uncontrollable commercial Cloud services. This paper proposes an expert system for Cloud evaluation that addresses emerging evaluation challenges in the context of Cloud Computing. Based on the knowledge and data accumulated by exploring the existing evaluation work, this expert system has been conceptually validated to be able to give suggestions and guidelines for implementing new evaluation experiments. As such, users can conveniently obtain evaluation experiences by using this expert system, which is essentially able to make existing efforts in Cloud services evaluation reusable and sustainable.
构建商业云服务评估专家系统
商业云服务越来越多地提供给工业客户。为了方便客户进行成本效益分析或云提供商选择等决策,对这些云服务的评估变得越来越重要。然而,与传统计算系统的评估相比,在评估快速变化和用户不可控的商业云服务时,不可避免地会出现更多的挑战。本文提出了一个云评估专家系统,以解决云计算环境下出现的评估挑战。基于探索现有评价工作积累的知识和数据,该专家系统在概念上得到了验证,能够为实施新的评价实验提供建议和指导。因此,使用该专家系统,用户可以方便地获得评估经验,本质上可以使现有的云服务评估工作可重用和可持续。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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