Green Cloud Computing Using Proactive Virtual Machine Placement: Challenges and Issues

• Published in: Journal of grid computing Vol. 18; no. 4; pp. 727 - 759
• Main Authors: Masdari, Mohammad, Zangakani, Mehran
• Format: Journal Article
• Language: English
• Published: Dordrecht Springer Netherlands 01.12.2020; Springer Nature B.V
• Subjects: Algorithms; Cloud computing; Computer Science; Computer simulation; Energy conservation; Energy management; Forecasting; Management of Computing and Information Systems; Placement; Power management; Predictions; Processor Architectures; User Interfaces and Human Computer Interaction; Virtual environments; Workload; Data center; Queuing theory; Markov model; ARIMA; VM placement

Efficient VM management is very crucial for energy saving, increasing profit, and preventing SLA violations. VM placement schemes can be classified into reactive and proactive/predictive schemes which try to improve the VM placement results, by forecasting future workloads or resource demands using...