Abstract
Snooze is an open-source scalable, autonomic, and energy-efficient virtual machine (VM) management framework for private clouds. It allows users to build compute infrastructures from virtualized resources. Particularly, once installed and configured it allows its users to submit and control the life-cycle of a large number of VMs. For scalability, the system relies on a self-organizing and healing hierarchical architecture. Moreover, it performs energy-efficient distributed VM management. Therefore, it implements features to monitor and estimate VM resource utilization (CPU, memory, network Rx, network Tx), detect and resolve overload/underload situations, perform dynamic VM consolidation through live migration, and finally power management to save energy. Last but not least, it integrates a generic scheduler which allows to implement any VM placement algorithm. This demo will expose the Snooze’s main properties (scalability, energy-efficiency, autonomy, and fault-tolerance) through its graphical interface.
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References
Koomey, J.: Growth in data center electricity use 2005 to 2010. Technical report. Analytics Press (2011)
The Green Grid: Unused servers survey results analysis. Technical report (2010)
Barroso, L., Holzle, U.: The case for energy-proportional computing. Computer 40(12), 33–37 (2007)
Feller, E., Rohr, C., Margery, D., Morin, C.: Energy management in IaaS clouds: a Holistic Approach. In: CLOUD: IEEE International Conference on Cloud Computing (2012)
Feller, E., Rilling, L., Morin, C.: Snooze : a scalable and autonomic virtual machine management framework for private clouds. In: CCGrid: IEEE/ACM International Symposium on Cluster, Cloud, and Grid Computing (2012)
Perera, S., Gannon, D.: Enforcing user-defined management logic in large scale systems. In: IEEE Congress on Services, pp. 243–250 (2009)
Snooze: http://snooze.inria.fr. GPL v2 licence (2012)
Red Hat: libvirt: the virtualization API. http://libvirt.org/ (2012)
Bolze, R., Cappello, F., Caron, E., Daydé, M., Desprez, F., Jeannot, E., Jégou, Y., Lanteri, S., Leduc, J., Melab, N., Mornet, G., Namyst, R., Primet, P., Quetier, B., Richard, O., El-Ghazali, T., Touche, I.: Grid’5000: a large scale and highly reconfigurable experimental grid testbed. Int. J. High Perform. Comput. Appl. 20(4), 481–494 (2006)
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This work was partially supported by the COST (European Cooperation in Science and Technology) framework, under Action IC0804.
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Simonin, M., Feller, E., Orgerie, AC., Jégou, Y., Morin, C. (2013). Snooze: An Autonomic and Energy-Efficient Management System for Private Clouds. In: Pierson, JM., Da Costa, G., Dittmann, L. (eds) Energy Efficiency in Large Scale Distributed Systems. EE-LSDS 2013. Lecture Notes in Computer Science(), vol 8046. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-40517-4_10
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DOI: https://doi.org/10.1007/978-3-642-40517-4_10
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