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.
CITATION STYLE
Deochake, S., & Mukhopadhyay, D. (2021). An Agent-Based Cloud Service Negotiation in Hybrid Cloud Computing. In Advances in Intelligent Systems and Computing (Vol. 1270, pp. 563–572). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-981-15-8289-9_55
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