Research on Next Generation Grids Using a Fuzzy Assessment Method

Authors:
Chunyang Ye;Feng Xiong;Qi Luo
Affiliations:
School of Management, Wuhan University of Technology, Wuhan 430070, China and Ningbo Universitiy, Ningbo, 315211, China;School of Management, Wuhan University of Technology, Wuhan 430070, China and Ningbo Universitiy, Ningbo, 315211, China;College of Engineering and Technology, Southwest University, Chongqing 400715, China and Information Engineering school,Wuhan University of Science and Technology and Zhongnan Branch,Wuhan 430223, ...
Venue:
MDAI '07 Proceedings of the 4th international conference on Modeling Decisions for Artificial Intelligence
Year:
2007

Citing 5
Cited 0

Viewpoint: From TeraGrid to knowledge grid

Communications of the ACM
Introduction

Communications of the ACM
Peer-to-peer prospects

Communications of the ACM
Clustering Soft-Devices in the Semantic Grid

Computing in Science and Engineering
Toward a Synergy Between P2P and Grids

IEEE Internet Computing

Quantified Score

Hi-index	0.00

Visualization

Abstract

Main issues to be faced by next-generation Grids are the management and exploitation of the overwhelming amount of data produced by applications but also by Grid operation, and the intelligent use of Grid resou-rces and services. To achieve these very ambitious goals, next-generation Grids should include knowledge discovery and knowledge management functionalities, for both applications and system management. This paper proposes a fuzzy assessment method. The assessment of Next-generation Grids is composed of objective and subjective assessment. The results manifest that the assessment method is effective through testing in some system.