Software consolidation as an efficient energy and cost saving solution for a SaaS/PaaS cloud model

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Abstract

Virtual machines (VM) are used in cloud computing environments to isolate different software. Virtualization enables live migration, and thus dynamic VM consolidation. This possibility can be used to reduce power consumption in the cloud. However, consolidation in cloud environments is limited due to reliance on VMs, mainly due to their memory overhead. For instance, over a 4-month period in a real cloud located in Grenoble (France), we observed that 805 VMs used less than 12% of the CPU (of the active physical machines). This paper presents a solution introducing dynamic software consolidation. Software consolidation makes it possible to dynamically collocate several software applications on the same VM to reduce the number of VMs used. This approach can be combined with VM consolidation which collocates multiple VMs on a reduced number of physical machines. Software consolidation can be used in a private cloud to reduce power consumption, or by a client of a public cloud to reduce the number of VMs used, thus reducing costs. The evaluation was performed using both the SPECjms2007 benchmark and an enterprise LAMP benchmark on both a VMware private cloud and Amazon EC2 public cloud. The results show that our approach can reduce the energy consumed in our private cloud by about 40% and the charge for VMs on Amazon EC2 by about 40.5%.

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APA

Tchana, A., De Palma, N., Safieddine, I., Hagimont, D., Diot, B., & Vuillerme, N. (2015). Software consolidation as an efficient energy and cost saving solution for a SaaS/PaaS cloud model. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 9233, pp. 305–316). Springer Verlag. https://doi.org/10.1007/978-3-662-48096-0_24

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