Abstract
In order to maintain energy efficiency and optimize resource utilization in cloud datacenters, cloud providers adopt virtualization technologies as well as server consolidation. Virtualization is the means used to achieve multi-tenant environments by creating many virtual machines (VMs) on the same physical machine (PM) in a way that they share same physical resources (e.g. CPU, disk, memory, network I/O, etc.). Server consolidation consists of placing as much as possible VMs on as less as possible PMs, in the aim of maximizing idle servers and then minimize the energy consumption. However, this vision of server consolidation is not as simple as it seems to be. Hence, it is crucial to be aware of its emerging concerns, such as severe performance degradation problem when placing particular VMs on the same PM. Furthermore, the Virtual Machine Placement (VMP) is one of the most challenging problems in cloud environments management and it’s been studied from various perspectives. In this paper, we are going to propose a VMP taxonomy in order to understand the various aspects that researchers consider while defining their VMP approaches. We will also survey the most relevant interference-aware virtual machine placement literature and then we shall give a comparative study between them.
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References
Hamilton, J.: Cooperative expendable micro-slice servers (CEMS): low cost, low power servers for internet-scale services. In: Conference on Innovative Data Systems Research (CIDR 2009) (January 2009)
Nathuji, R., Kansal, A., Ghaffarkhah, A.: Q-clouds: managing performance interference effects for qos-aware clouds. In: Proceedings of the 5th European Conference on Computer systems. ACM (2010)
Koh, Y., Knauerhase, R., Brett, P., Bowman, M., Wen, Z., Pu, C.: An analysis of performance interference effects in virtual environments. In: IEEE International Symposium on Performance Analysis of Systems and Software, ISPASS 2007, pp. 200–209. IEEE (2007)
Pu, X., Liu, L., Mei, Y., Sivathanu, S., Koh, Y., Pu, C.: Understanding performance interference of I/O workload in virtualized cloud environments. In: 2010 IEEE 3rd International Conference on Cloud Computing (CLOUD), pp. 51–58. IEEE (2010)
Murray, D.G., Milos, G., Hand, S.: Improving Xen security through disaggregation. In: Proceedings of the Fourth ACM SIGPLAN/SIGOPS International Conference on Virtual Execution Environments. ACM (2008)
Nagarajan, A.B., Mueller, F., Engelmann, C., Scott, S.L.: Proactive fault tolerance for HPC with Xen virtualization. In: Proceedings of the 21st Annual International Conference on Supercomputing, pp. 23–32 (2007)
Chekuri, C., Khanna, S.: On multidimensional packing problems. SIAM J. Comput. 33(4), 837–851 (2004)
Matthews, J.N., Hu, W., Hapuarachchi, M., Deshane, T., Dimatos, D., Hamilton, G., McCabe, M., Owens, J.: Quantifying the performance isolation properties of virtualization systems. In: Proceedings of the 2007 Workshop on Experimental Computer Science, p. 6. ACM (2007)
Padala, P., Zhu, X., Wang, Z., Singhal, S., Shin, K. G.: Performance evaluation of virtualization technologies for server consolidation. HP Labs Technical Report (2007)
Xavier, M.G., Neves, M.V., Rossi, F.D., Ferreto, T.C., Lange, T., De Rose, C.A.: Performance evaluation of container-based virtualization for high performance computing environments. In: 2013 21st Euromicro International Conference on Parallel, Distributed and Network-Based Processing (PDP), pp. 233–240. IEEE (2013)
Jersak, L.C., Ferreto, T.: Performance-aware server consolidation with adjustable interference levels. In: Proceedings of the 31st Annual ACM Symposium on Applied Computing, pp. 420–425. ACM (2016)
Shim, Y.-C.: Inter-VM performance interference aware static VM consolidation algorithms for cloud-based data centers. Recent Adv. Electr. Eng. 18 (2015)
Moreno, I.S., Yang, R., Xu, J., Wo, T.: Improved energy-efficiency in cloud datacenters with interference-aware virtual machine placement. In: 2013 IEEE Eleventh International Symposium on Autonomous Decentralized Systems (ISADS), pp. 1–8. IEEE (2013)
Kim, S.G., Eom, H., Yeom, H.Y.: Virtual machine consolidation based on interference modeling. J. Supercomput. 66(3), 1489–1506 (2013)
Jin, H., Qin, H., Wu, S., Guo, X.: CCAP: a cache contention-aware virtual machine placement approach for HPC cloud. Int. J. Parallel Program. 43(3), 403–420 (2015)
Lin, J.-W., Chen, C.-H.: Interference-aware virtual machine placement in cloud computing systems. In: 2012 International Conference on Computer and Information Science (ICCIS), vol. 2, pp. 598–603. IEEE (2012)
Caglar, F., Shekhar, S., Gokhale, A.: Towards a performance interference-aware virtual machine placement strategy for supporting soft real-time applications in the cloud. In: Proceedings of the 3rd IEEE International Workshop on Real-time and distributed Computing in Emerging Applications, (Co-located with 35th IEEE RTSS), Italy, 15–20 2011
Zhang, Q., Cheng, L., Boutaba, R.: Cloud computing: state-of-the-art and research challenges. J. Internet Serv. Appl. 1(1), 7–18 (2010)
Brahmi, Z., Hassen, F.B.: Communication-aware VM consolidation based on formal concept analysis. In: Proceedings of AICCSA 2016, pp. 1–8 (2016)
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Amri, S., Brahmi, Z., de Prado, R.P., García-Galán, S., Muñoz-Expósito, J.E., Marchewka, A. (2019). Interference-Aware Virtual Machine Placement: A Survey. In: Choraś, M., Choraś, R. (eds) Image Processing and Communications Challenges 10. IP&C 2018. Advances in Intelligent Systems and Computing, vol 892. Springer, Cham. https://doi.org/10.1007/978-3-030-03658-4_28
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DOI: https://doi.org/10.1007/978-3-030-03658-4_28
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