A Cloud Resource Allocation Strategy Based on Fitness Based Live Migration and Clustering
Author:
Funder
University Grants Commission
Publisher
Springer Science and Business Media LLC
Subject
Electrical and Electronic Engineering,Computer Science Applications
Link
http://link.springer.com/article/10.1007/s11277-017-5009-2/fulltext.html
Reference14 articles.
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2. Islam, S., Keung, J., Lee, K., & Liu, A. (2011). Empirical prediction models for adaptive resource provisioning in the cloud. Future Generation Computer Systems, 28(1), 155–162.
3. Mishra, M., Das, A., Kulkarni, P., & Sahoo, A. (2012). Dynamic resource management using virtual machine migrations. IEEE Communications Magazine, 50(9), 34–40.
4. Manvi, S. S., & Shyam, G. K. (2014). Resource management for infrastructure as a service(IaaS) in cloud computing: A survey. Journal of Network and Computer Applications, 41(1), 424–440.
5. Xiao, Z., Song, W., & Chen, Q. (2013). Dynamic resource allocation using virtual machines for cloud computing environment. IEEE Transactions on Parallel and Distributed Systems, 24(6), 1107–1117.
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