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Belief-Desire-Intention (BDI) Multi-agent System for Cloud Marketplace Negotiation

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Distributed Computing and Artificial Intelligence, 19th International Conference (DCAI 2022)

Part of the book series: Lecture Notes in Networks and Systems ((LNNS,volume 583))

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Abstract

With the evolution of cloud computing, there has been a rise of large enterprises extending their infrastructure and workloads into the public cloud. This paper proposes a full-fledged framework for a Belief-Desire-Intention (BDI) multi-agent-based cloud marketplace system for cloud resources. Each party in the cloud marketplace system supports a BDI agent for autonomous decision making and negotiation to facilitate automated buying and selling of resources. Additionally, multiple BDI agents from an enterprise competing for the same cloud resource can consult with each other via Master Negotiation Clearing House to minimize the overall cost function for the enterprise while negotiating for a cloud resource. The cloud marketplace system is further augmented with assignments of behavior norm and reputation index to the agents to facilitate trust among them.

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Author information

Authors and Affiliations

  1. Twitter, Inc., San Francisco, CA, 94103, USA

    Saurabh Deochake

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  1. Saurabh Deochake
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Correspondence to Saurabh Deochake .

Editor information

Editors and Affiliations

  1. Hiroshima University, Hiroshima, Japan

    Sigeru Omatu

  2. King Abdulaziz University, Jeddah, Saudi Arabia

    Rashid Mehmood

  3. Kielce University of Technology, Kielce, Poland

    Pawel Sitek

  4. Palazzo Camponeschi, University of L'Aquila, L'Aquila, Italy

    Serafino Cicerone

  5. BISITE, Edificio I+D+i, University of Salamanca, Salamanca, Spain

    Sara Rodríguez

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Deochake, S. (2023). Belief-Desire-Intention (BDI) Multi-agent System for Cloud Marketplace Negotiation. In: Omatu, S., Mehmood, R., Sitek, P., Cicerone, S., Rodríguez, S. (eds) Distributed Computing and Artificial Intelligence, 19th International Conference. DCAI 2022. Lecture Notes in Networks and Systems, vol 583. Springer, Cham. https://doi.org/10.1007/978-3-031-20859-1_15

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