云顾问机器人:实现高效云评估的聊天机器人

Emanuel Hofer, S. G. Grivas, Claudio Giovanoli
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引用次数: 0

摘要

对云计算能力意识的增强导致了对云的更多采用。对于许多企业来说,云计算代表了建立和维护IT资源的一个有吸引力的节省成本的选择。决策者经常面临关于云服务和部署模型选择的多标准决策问题,并且不具备所需的技术和业务相关背景。这项工作旨在以Cloud advisor Bot的形式开发会话决策顾问,以支持对云需求的复杂评估。文献综述揭示了这一领域的空白,因为在支持云评估过程的聊天机器人领域没有预先存在的研究。基于文献综述和进一步的研究,我们调查了为了实现Cloud Advisor Bot的原型,需要开发哪些元素。为了实现这一目标,设计科学研究被应用于迭代开发解决方案。评估表明,可以成功地使用Cloud Advisor Bot原型来对可能的云部署场景进行评估。本文还提出了进一步的发展,以改进解决方案,使其在未来可行
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Cloud Advisor Bot: Towards a Chatbot to Enable Efficient Cloud Assessments
Increased consciousness of cloud computing capabilities leads to greater adoption of the cloud. For many businesses, cloud computing represents an attractive cost-saving option for the establishment and maintenance of IT resources. Decision-makers are often confronted with multi-criteria decision issues regarding cloud service and deployment model selection and do not have the required technological and business-related background. This work aimed at developing a conversational decisions advisor in the form of the Cloud Advisor Bot to support complex assessment of cloud needs. The literature review revealed a gap in this domain as there is no pre-existing research in the area of chatbots that support the cloud assessment process. Based on the literature reviews as well as further research, it was investigated which elements needed to be developed in order to implement a prototype of the Cloud Advisor Bot. To achieve this, design science research was applied to iteratively develop the solution. The evaluation has shown that the prototype of the Cloud Advisor Bot can be successfully used in order to conduct an assessment regarding a possible cloud deployment scenario. The paper also proposes further developments in order to improve the solution and make it viable for the future
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