Cloud federation addresses the resource scalability issue by enabling infrastructure sharing among multiple clouds. We propose a proactive resource provisioning model for federation based on sliding window prediction technique. We compare the results of the proposed prediction mechanism with the commonly used time series prediction algorithm ARIMA. We developed a simulation environment for cloud federation to investigate the impact of workload prediction based resource provisioning in cloud federation. Finally we compare it with that of resource provisioning without prediction in a federated environment, evaluate the profit and resource utilization associated with both the cases.
CITATION STYLE
Ramakrishnan, G., Anantharaman, P., & Mukherjee, S. (2016). Proactive resource provisioning model for cloud federation. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 9581, pp. 169–174). Springer Verlag. https://doi.org/10.1007/978-3-319-28034-9_22
Mendeley helps you to discover research relevant for your work.