Abstract
Cloud service provider (CSP) is providing several services over network and selection of resources opt through intelligent matching agent between CSP and consumer. In the cloud market, consumers and CSP are negotiating with each other for requirements of resources. Due to the large number of CSPs in the market, competition is very high. The automated negotiation agent is in high demand to do negotiation in minimum time with maximum success rate. Negotiation must be on price, resources, reliable CSP, maximum utility value, and other quality measures factor. Due to vibrant changes in the market and increasing CSPs’ competition, false negotiation, unreliable servers, and high prices, problem occurs. An automated intelligent agent produces a solution which understands the opponent's behavior and requirements of both sides, and these factors proceed to negotiation and provide the best match between consumer and CSP. The proposed architecture of negotiation agent enhances the negotiation process perceptively by reducing the negotiation time and high success rate and also helps to deliver reliable services.
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Kumar, R., Hassan, M.F., Adnan, M.H.M. (2021). Intelligent Negotiation Agent Architecture for SLA Negotiation Process in Cloud Computing. In: Prateek, M., Singh, T.P., Choudhury, T., Pandey, H.M., Gia Nhu, N. (eds) Proceedings of International Conference on Machine Intelligence and Data Science Applications. Algorithms for Intelligent Systems. Springer, Singapore. https://doi.org/10.1007/978-981-33-4087-9_62
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DOI: https://doi.org/10.1007/978-981-33-4087-9_62
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