Autonomous bargaining agents: Redefining cloud service negotiation in hybrid ecosystems

Dhruvitkumar V. Talati *

Independent Researcher, USA.
 
Review
International Journal of Science and Research Archive, 2021, 04(01), 297-310.
Article DOI: 10.30574/ijsra.2021.4.1.0193
Publication history: 
Received on 30 October 2021; revised on 26 November 2021; accepted on 29 November 2021
 
Abstract: 
With the historic rise in cloud computing, mega-enterprises are now more and more shifting their on-premises IT infrastructures to cloud environments. Even though such migration is being adopted more and more, there still remains a paucity of research focused on autonomous resource negotiation between cloud consumers and providers. The current paper introduces a complete designed framework for multi-party, multi-issue negotiation in cloud resource provision. It offers a sophisticated cloud marketplace in which resources are dynamically purchased and sold. It employs belief–desire–intention (BDI) model-based consumer and provider agents, which negotiate simultaneously on multiple axes. The negotiations employ a hybrid approach that integrates time-aware and resource-aware dynamic deadline methods for computing offers and counteroffers. In addition, the marketplace proposed herein also includes a behavior norm score mechanism and Reputation Index to build agents' mutual trust. 
 
Keywords: 
Multi-Agent Systems; Automated Negotiation; Intelligent Systems; Cloud Computing
 
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Copyright © 2021 Author(s) retain the copyright of this article. This article is published under the terms of the Creative Commons Attribution Liscense 4.0