Jun 20, 2017 · Agents could quote according to the messages it obtained and the information learnt and predicted from the messages, to minimize the influence ...
Jun 20, 2017 · The experimental evaluation shows that the proposed method outperforms both a well-known multiresource negotiation-based task allocation method ...
Against this, in this paper, intelligent agents are designed to strategically quote for the tasks that they are interested in, on behalf of resource providers.
In market-based cloud environments, both resource consumers and providers are self-interested; additionally, they can come and leave the environment freely.
Yan Kong , Minjie Zhang , Dayong Ye , Jinxiu Zhu, Junho Choi: An intelligent agent-based method for task allocation in competitive cloud environments.
We propose a decentralized belief propagation-based method, PD-LBP, for multi-agent task allocation in open and dynamic grid and cloud environments where both ...
To solve the recently mentioned problem of cloud computing, we propose an agent-based model for Resouce. Provisioning (RP) and Task Scheduling (TS) using DRL ...
This research presents a novel system consisting of a multi-agent system, which integrates a case-based reasoning system.
Missing: competitive | Show results with:competitive
An intelligent agent‐based method for task allocation in competitive cloud environments ... scheduling and resource allocation in cloud computing environment.
In this paper, we propose an intelligent agent-based task allocation method in competitive and thus insecure cloud environments. The most distinguishing ...