Vol. 1 No. 1 (2021): Journal of AI-Assisted Scientific Discovery
Articles

Autonomous Bargaining Agents: Redefining Cloud Service Negotiation in Hybrid Ecosystems

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  • Dhruvitkumar V. Talati
Dhruvitkumar V. Talati
Independent Researcher, USA
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Published 19-03-2021

Keywords

  • Multi-agent systems,
  • Automated negotiation,
  • Intelligent systems
Creative Commons License

This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.

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.

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