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2023-09-08
Mandal, Riman, Mondal, Manash Kumar, Banerjee, Sourav, Chatterjee, Pushpita, Mansoor, Wathiq, Biswas, Utpal.  2022.  PbV mSp: A priority-based VM selection policy for VM consolidation in green cloud computing. 2022 5th International Conference on Signal Processing and Information Security (ICSPIS). :32–37.
Cloud computing forms the backbone of the era of automation and the Internet of Things (IoT). It offers computing and storage-based services on consumption-based pricing. Large-scale datacenters are used to provide these service and consumes enormous electricity. Datacenters contribute a large portion of the carbon footprint in the environment. Through virtual machine (VM) consolidation, datacenter energy consumption can be reduced via efficient resource management. VM selection policy is used to choose the VM that needs migration. In this research, we have proposed PbV mSp: A priority-based VM selection policy for VM consolidation. The PbV mSp is implemented in cloudsim and evaluated compared with well-known VM selection policies like gpa, gpammt, mimt, mums, and mxu. The results show that the proposed PbV mSp selection policy has outperformed the exisitng policies in terms of energy consumption and other metrics.
ISSN: 2831-3844
2017-12-04
Thayananthan, V., Abdulkader, O., Jambi, K., Bamahdi, A. M..  2017.  Analysis of Cybersecurity Based on Li-Fi in Green Data Storage Environments. 2017 IEEE 4th International Conference on Cyber Security and Cloud Computing (CSCloud). :327–332.

Industrial networking has many issues based on the type of industries, data storage, data centers, and cloud computing, etc. Green data storage improves the scientific, commercial and industrial profile of the networking. Future industries are looking for cybersecurity solution with the low-cost resources in which the energy serving is the main problem in the industrial networking. To improve these problems, green data storage will be the priority because data centers and cloud computing deals with the data storage. In this analysis, we have decided to use solar energy source and different light rays as methodologies include a prism and the Li-Fi techniques. In this approach, light rays sent through the prism which allows us to transmit the data with different frequencies. This approach provides green energy and maximum protection within the data center. As a result, we have illustrated that cloud services within the green data center in industrial networking will achieve better protection with the low-cost energy through this analysis. Finally, we have to conclude that Li-Fi enhances the use of green energy and protection which are advantages to current and future industrial networking.