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An Agent-based Cloud Service Negotiation in Hybrid Cloud Computing
arXiv - CS - Distributed, Parallel, and Cluster Computing Pub Date : 2020-06-16 , DOI: arxiv-2006.13109
Saurabh Deochake and Debajyoti Mukhopadhyay

With the advent of evolution of cloud computing, large organizations have been scaling the on-premise IT infrastructure to the cloud. Although this being a popular practice, it lacks comprehensive efforts to study the aspects of automated negotiation of resources among cloud customers and providers. This paper proposes a full-fledged framework for the multi-party, multi-issue negotiation system for cloud resources. It introduces a robust cloud marketplace system to buy and sell cloud resources. The Belief-Desire-Intention (BDI) model-based cloud customer and provider agents concurrently negotiate on multiple issues, pursuing a hybrid tactic of time and resource-based dynamic deadline algorithms to generate offers and counter-offers. The cloud marketplace-based system is further augmented with the assignment of behavior norm score and reputation index to the agents to establish trust among them.

中文翻译:

混合云计算中基于代理的云服务协商

随着云计算演进的出现,大型组织已将内部部署的 IT 基础设施扩展到云。尽管这是一种流行的做法,但它缺乏全面​​的努力来研究云客户和提供商之间资源自动协商的各个方面。本文为云资源的多方、多问题协商系统提出了一个成熟的框架。它引入了一个强大的云市场系统来购买和销售云资源。基于信念-愿望-意图 (BDI) 模型的云客户和提供商代理同时协商多个问题,采用基于时间和资源的动态截止日期算法的混合策略来生成报价和还价。
更新日期:2020-06-24
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