SDN-Based Virtual Machine Management for Cloud Data Centers

Article Properties
Cite
Cziva, Richard, et al. “SDN-Based Virtual Machine Management for Cloud Data Centers”. IEEE Transactions on Network and Service Management, vol. 13, no. 2, 2016, pp. 212-25, https://doi.org/10.1109/tnsm.2016.2528220.
Cziva, R., Jouet, S., Stapleton, D., Tso, F. P., & Pezaros, D. P. (2016). SDN-Based Virtual Machine Management for Cloud Data Centers. IEEE Transactions on Network and Service Management, 13(2), 212-225. https://doi.org/10.1109/tnsm.2016.2528220
Cziva, Richard, Simon Jouet, David Stapleton, Fung Po Tso, and Dimitrios P. Pezaros. “SDN-Based Virtual Machine Management for Cloud Data Centers”. IEEE Transactions on Network and Service Management 13, no. 2 (2016): 212-25. https://doi.org/10.1109/tnsm.2016.2528220.
1.
Cziva R, Jouet S, Stapleton D, Tso FP, Pezaros DP. SDN-Based Virtual Machine Management for Cloud Data Centers. IEEE Transactions on Network and Service Management. 2016;13(2):212-25.
Refrences
Title Journal Journal Categories Citations Publication Date
A survey of software-defined networking: Past, present, and future of programmable networks 2014
Cost of virtual machine live migration in clouds: A performance evaluation 2009
VMware distributed resource management: Design, implementation, and lessons learned 2012
Cisco systems netflow services export version 9 2004
Hyperflow: A distributed control plane for openflow 0
Citations
Title Journal Journal Categories Citations Publication Date
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  • Technology: Technology (General): Industrial engineering. Management engineering: Information technology
  • Technology: Electrical engineering. Electronics. Nuclear engineering: Telecommunication
  • Science: Mathematics: Instruments and machines: Electronic computers. Computer science
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A Comparative and Analytical Study for Choosing the Best Suited SDN Network Operating System for Cloud Data Center

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Citations Analysis
The category Science: Science (General): Cybernetics: Information theory 4 is the most commonly referenced area in studies that cite this article. The first research to cite this article was titled LISP Optimisation of Mobile Data Streaming in Connected Societies and was published in 2016. The most recent citation comes from a 2022 study titled Platform Design of Psychological Teaching Classroom Evaluation Based on Mobile Edge Computing Resource Allocation. This article reached its peak citation in 2022, with 2 citations. It has been cited in 2 different journals. Among related journals, the Mobile Information Systems cited this research the most, with 4 citations. The chart below illustrates the annual citation trends for this article.
Citations used this article by year