Towards a micro-economic model for resource allocation in grid computing systems

被引:22
|
作者
Subramoniam, K [1 ]
Maheswaran, M [1 ]
Toulouse, M [1 ]
机构
[1] TRLabs Winnipeg, Winnipeg, MB R3Y 1P6, Canada
关键词
Individual resource; bundled resource; principle commodity; tatonnement process;
D O I
10.1109/CCECE.2002.1013041
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
Due to the expected scale of the Grid computing systems, we need to develop highly distributed and extensible resource allocation frameworks for such systems. Microeconomic principles such as auctioning and commodity market are two approaches that are being pursued by several researchers for the Grid resource allocation problem. In this paper, we use a commodity market based approach to allocate resources, where resources are classified into different classes based on the hardware components, network connectivity, and operating system. In commodity market, the prices of the commodities ("resources") are fixed using Individual supply and demand functions. In this paper we have developed an algorithm to determine the price of the resource. The simulation results show the performance of the pricing algorithm used In the commodity market.
引用
收藏
页码:782 / 785
页数:4
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