Abstract
After analyzing the four aspects of cloud computing, storage, network, infrastructure, and combining the fuzzy evaluation method in fuzzy mathematics theory, the quantitative index and qualitative index are combined to realize the virtual resource performance evaluation. This method breaks through the limitation of the previous evaluation system, and establishes a performance evaluation system based on multi-level fuzzy evaluation. Through the analysis of a case, it is proved that the proposed method can evaluate the resource performance more comprehensively, This will have a certain application value and significance for the research of resource management and scheduling based on cloud computing.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Foster, I., Zhao, Y., Raicu, I., Lu, S.: Cloud computing and grid computing 360-degree compared. In: Proceedings of IEEE Grid Computing Environments Workshop, pp. 1–10 (2008)
Peng, W.: The key technology of cloud computing and application examples, pp. 13–14. Posts and Telecom Press, Beijing (2010)
Zhu, S.C., Xu, Y., Jin, M.Y., Sheng, L.: Cloud computing security risk assessment based on level protection strategy. Comput. Secur. 5, 39–42 (2013)
Yuan, H.C., Jia, W.G., Hu, J.F.: The research work of information security risk assessment in military colleges and universities network. In: Network security technology and Application. pp. 59–60, May 2009
Jian-xun, Z., Zhi-min, G., Chao, Z.: The reviewer of cloud computing research and development. Comput. Appl. 27(2), 429–432 (2010)
Yu-jie, M., Jian, C., Shen-sheng, Z.: The research of extended WebService service quality model. Comput. Sci. 33(1), 4–9 (2006)
Fang, Y., Wang, F., Ge, J.: A task scheduling algorithm based on load balancing in cloud computing. In: Wang, F.L., Gong, Z., Luo, X., Lei, J. (eds.) Web Information Systems and Mining. LNCS, vol. 6318, pp. 271–277. Springer, Heidelberg (2010)
Ting-bin, C.,Yan-xia, L., Guo-jun, S.: The application of the fuzzy assessment method based on webservices. J. DaLian Jiaotong Univ. 30(1), 49–52 (2009)
Shi-bin, Z., Da-ke, H.: The research of establishment strategies on fuzzy independent trust. J. Electron. Inf. 28(8), 1493–1497 (2006)
Acknowledgment
This project is supported by Guangdong Province’s the teaching reform project of higher education in 2015.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2016 Springer Science+Business Media Singapore
About this paper
Cite this paper
Liu, S. (2016). The Improved Evaluation of Virtual Resources’ Performance Algorithm Based on Computer Clusters. In: Li, K., Li, J., Liu, Y., Castiglione, A. (eds) Computational Intelligence and Intelligent Systems. ISICA 2015. Communications in Computer and Information Science, vol 575. Springer, Singapore. https://doi.org/10.1007/978-981-10-0356-1_19
Download citation
DOI: https://doi.org/10.1007/978-981-10-0356-1_19
Published:
Publisher Name: Springer, Singapore
Print ISBN: 978-981-10-0355-4
Online ISBN: 978-981-10-0356-1
eBook Packages: Computer ScienceComputer Science (R0)