A Smart and Automated Negotiation System based on Linear Programming in a Multilateral Environment

Vij, Sheetal; Patrikar, Madhur; Mukhopad, Debajyoti; Agrawal, Avinash J.

doi:10.6029/smartcr.2015.06.004

Cited by 6 publications

(2 citation statements)

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“…Previous work like [6] showcases a way to achieve bilateral multi-issue ne-gotiation where two agents may choose to negotiate on the issues concurrently. While this can be a viable option to perform concurrent negotiation, it also leads to over-negotiation between the agents that continues over an extended period of time costing more time and resources.…”

Section: Related Workmentioning

confidence: 99%

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

Deochake¹

2022

Preprint

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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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Section: Related Workmentioning

confidence: 99%

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

Deochake¹

2022

Preprint

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“…In our work, BDI agents adapt to each negotiation round, selecting appropriate tactic to reach an agreement within a fixed time period. While [13] discusses a bilateral multiissue negotiation system where a buyer and seller negotiate on multiple issues concurrently, buyer and seller must reach an agreement on every issue for a consensus. This leads to over-negotiating between a buyer and seller that potentially continues for extended period of time.…”

Section: Related Workmentioning

confidence: 99%

An Agent-based Cloud Service Negotiation in Hybrid Cloud Computing

Deochake¹,

Mukhopadhyay²

2020

Preprint

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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.

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

Deochake

2022

Distributed Computing and Artificial Intelligence, 19th International Conference

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A Smart and Automated Negotiation System based on Linear Programming in a Multilateral Environment

Cited by 6 publications

References 0 publications

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

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

An Agent-based Cloud Service Negotiation in Hybrid Cloud Computing

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

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