A Dynamic Pricing and Bidding Strategy for Autonomous Agents in Grids

被引：0

作者：

Pourebrahimi, Behnaz ^{[1
]}

Bertels, Koen ^{[1
]}

Vassiliadis, Stamatis ^{[1
]}

Alima, Luc Onana ^{[2
]}

机构：

[1] Delft Univ Technol, EEMCS, Comp Engn Lab, NL-2600 AA Delft, Netherlands

[2] Univ Mons, Inst Informat, Serv Syst Distribues, Mons, Belgium

来源：

AGENTS AND PEER-TO-PEER COMPUTING | 2010年 / 5319卷

关键词：

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

In this paper, we propose a dynamic pricing strategy which is used for a market-based resource allocation mechanism in a local Grid. We implement an agent based Grid economy in which the decision-making process regarding task and resource allocation is distributed across all users and resource owners. A Continuous Double Auction is used as the platform for matchmaking where consumers and producers meet. In this paper, we analyze the parameter regime of this pricing mechanism considering different network conditions. Our experiments described in the paper show that using the pricing parameters, the consumers and producers agents can decide the price to influence the way they contribute resources to the Grid or complete the jobs for which they need resources. These agents are individually capable of changing the degree of their task usage and resource contribution to the Grid.

引用

页码：55 / +

页数：3