作者
Hidemoto Nakada, Takahiro Hirofuchi, Hirotaka Ogawa, Satoshi Itoh
发表日期
2009
研讨会论文
Distributed Computing, Artificial Intelligence, Bioinformatics, Soft Computing, and Ambient Assisted Living: 10th International Work-Conference on Artificial Neural Networks, IWANN 2009 Workshops, Salamanca, Spain, June 10-12, 2009. Proceedings, Part II 10
页码范围
651-654
出版商
Springer Berlin Heidelberg
简介
To enable efficient resource provisioning in HaaS (Hardware as a Service) cloud systems, virtual machine packing, which migrate virtual machines to minimize running real node, is essential. The virtual machine packing problem is a multi-objective optimization problem with several parameters and weights on parameters change dynamically subject to cloud provider preference. We propose to employ Genetic Algorithm (GA) method, that is one of the meta-heuristics. We implemented a prototype Virtual Machine packing optimization mechanism on Grivon, which is a virtual cluster management system we have been developing. The preliminary evaluation implied the GA method is promising for the problem.
学术搜索中的文章
H Nakada, T Hirofuchi, H Ogawa, S Itoh - … , Bioinformatics, Soft Computing, and Ambient Assisted …, 2009