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Mathematical Problems in Engineering
Volume 2014 (2014), Article ID 510656, 7 pages
Research Article

Research and Application on a Novel Clustering Algorithm of Quantum Optimization in Server Load Balancing

1Network Center, Qingdao Technological University, Qingdao, China
2Administration Office of National Assets, Qingdao Technological University, Qingdao, China
3Library, Qingdao Technological University, Qingdao, China

Received 16 December 2013; Accepted 3 February 2014; Published 6 April 2014

Academic Editor: Balaji Raghavan

Copyright © 2014 Dong Yumin et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.


A quantum optimization scheme in network cluster server task scheduling is proposed. We explore and research the distribution theory of energy field in quantum mechanics; specially, we apply it to data clustering. We compare the quantum optimization method with genetic algorithm (GA), ant colony optimization (ACO), simulated annealing algorithm (SAA). At the same time, we prove its validity and rationality by analog simulation and experiment.