An Agent-based Cloud Service Negotiation in Hybrid Cloud Computing

TL;DR

This paper presents an agent-based negotiation framework for cloud resources in hybrid cloud environments, enabling automated multi-party, multi-issue negotiations with trust mechanisms.

Contribution

It introduces a comprehensive multi-agent negotiation system with dynamic tactics and trust metrics for cloud resource trading, advancing automation in cloud marketplaces.

Findings

Effective negotiation strategies demonstrated in simulations

Trust and reputation mechanisms improve agent cooperation

Framework supports scalable and flexible cloud resource exchanges

Abstract

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.