Virtual Machine Provisioning Based on Analytical Performance and QoS in Cloud Computing Environments

By Rodrigo Neves Calheiros, R. Ranjan, Rajkumar Buyya. International Conference on Parallel Processing, 2011

300 citations recorded by the source corpus.

Subfields: Computer Networks and Communications, Information Systems

View Paper: https://www.semanticscholar.org/paper/5861bf05d9f699dfeceb15ed482f6d2cfb3712cf

Citations in the corpus

• Elasticity in Cloud Computing: State of the Art and Research Challenges (2018, unknown): “Method Horizontal scaling [23], [24], [28], [29], [30], [32], [33], [34], [35], [36], [50], [55], [63], [71], [79], [81], [99], [119], [120], [121], [122], [123], [124]”
• Workload Prediction Using ARIMA Model and Its Impact on Cloud Applications’ QoS (2015, unknown): “In previous work [9], we introduced an architecture for proactive dynamic provisioning via workload prediction— which determines how many requests per second are expected in the near future—combined with analytical models to determine the optimal number of resources in the presence of the predicted…”