Cloud computing infrastructures are in the spotlight of modern computer science. They offer flexibility and on-demand resource provisioning. The automatic scalability feature enables cloud-based systems to seamlessly adjust to the constantly changing environment of the Internet. Despite their usefulness there is still much space for improvements. In this paper we introduce an approach to automatic infrastructure scaling, based on observation of business-related metrics. An implementation of a tool based on this concept, using the previously developed SAMM system, is also presented. Finally, we discuss evaluation results. © 2012 Springer-Verlag.
CITATION STYLE
Koperek, P., & Funika, W. (2012). Dynamic business metrics-driven resource provisioning in cloud environments. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 7204 LNCS, pp. 171–180). https://doi.org/10.1007/978-3-642-31500-8_18
Mendeley helps you to discover research relevant for your work.