A cost-benefit framework for online management of a metacomputing system

被引：6

作者：

Amir, Y ^{[1
]}

Awerbuch, B ^{[1
]}

Borgstrom, RS ^{[1
]}

机构：

[1] Johns Hopkins Univ, Dept Comp Sci, Baltimore, MD 21218 USA

来源：

DECISION SUPPORT SYSTEMS | 2000年 / 28卷 / 1-2期

关键词：

networks; resource allocation; markets;

D O I：

10.1016/S0167-9236(99)00081-0

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 [模式识别与智能系统]; 0812 [计算机科学与技术]; 0835 [软件工程]; 1405 [智能科学与技术];

摘要：

Managing a large collection of networked machines, with a series of incoming jobs, requires that the jobs be assigned to machines wisely. A new approach to this problem is presented, inspired by economic principles: the Cost-Benefit framework. This framework simplifies complex assignment and admission control decisions, and performs well in practice. We demonstrate this framework in the context of an Internet-wide market for computational services and verify its utility for a classic network of workstations. (C) 2000 Elsevier Science B.V. All rights reserved.

引用

页码：155 / 164

页数：10