An efficient clustering scheme for cloud computing problems using metaheuristic algorithms

Author:

Baalamurugan K. M.,Bhanu S. Vijay

Publisher

Springer Science and Business Media LLC

Subject

Computer Networks and Communications,Software

Reference40 articles.

1. Jain, A.K., Murty, M.N., Flynn, P.J.: Data clustering: a review. ACM Comput. Surv. 31, 264–323 (1999)

2. Valentini, G.L., et al.: An overview of energy efficiency techniques in cluster computing systems. Clust. Comput. 16(1), 3–15 (2013)

3. Suresh, A., Varatharajan, R.: Competent resource provisioning and distribution techniques for cloud computing environment. Clust. Comput. (2017). https://doi.org/10.1007/s10586-017-1293-6

4. Macqueen, J.: Some methods for classification and analysis of multivariate observations. In: Proceedings of the Fifth Berkeley Symposium on Mathematical Statistics and Probability, vol. 1, pp. 281–297. University of California Press, Berkeley (1967)

5. Raymond, T.N., Jiawei, H.: Efficient and effective clustering methods for spatial data mining. In: VLDB ’94 Proceedings, pp. 144–155 (1994)

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