Abstract
Due to having many advantages, virtualization has been widely used and become a key technology of cloud computing. Live migration of virtual machines is the core technique of virtualization fields, but the existing pre-copy live migration approaches have problems of low copy efficiency and long total migration time, so we propose a weight based live migration algorithm of virtual machines in this paper, which adds weights to the dirty page information collected, preferentially selects and transfers the dirty pages that are not modified frequently, the dirty pages that are modified frequently are transferred after virtual machine is suspended. The algorithm effectively reduces the amount of memory pages transferred and the total migration time. Experiment results show that when virtual machine is under heavy load, the proposed algorithm considerably reduces the number of transferred memory pages and shortens the total migration time without significantly increment of the virtual machine downtime.
Keywords
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Xen Hypervisor, http://www.xen.org/products/xenhyp.html
Sapuntzakis, C.P., Chandra, R., Pfaff, B., et al.: Optimizing the migration of virtual computers. SIGOPS Oper. Syst. Rev. 36(SI), 377–390 (2002)
Clark, C., Fraser, K., Hand, S., Hansen, J.G., Jul, E., Limpach, C., Pratt, I., Warfield, A.: Live migration of virtual machines. In: Proceedings of the Second Symposium on Networked Systems Design and Implementation (NSDI 2005), pp. 273–286 (2005)
Hines, M.R., Gopalan, K.: Post-copy based live virtual machine migration using adaptive pre-paging and dynamic self-ballooning. In: Proceedings of the ACM/Usenix International Conference on Virtual Execution Environments (VEE 2009), pp. 51–60 (2009)
Liu, H., Jin, H., Liao, X., Hu, L., Yu, C.: Live migration of virtual machine based on full system trace and replay. In: Proceedings of the 18th International Symposium on High Performance Distributed Computing (HPDC 2009), pp. 101–110 (2009)
Jin, H., Deng, L., Wu, S., Shi, X., Pan, X.: Live virtual machine migration with adaptive memory compression. In: Proceedings of the 2009 IEEE International Conference on Cluster Computing, Cluster 2009 (2009)
Ma, F., Liu, F., Liu, Z.: Live virtual machine migration based on improved pre-copy approach. In: 2010 IEEE International Conference Software Engineering and Service Sciences (ICSESS), pp. 230–233 (2010)
Liu, Z., Qu, W., Yan, T., Li, H., Li, K.: Hierarchical Copy Algorithm for Xen Live Migration. In: 2010 International Conference on Cyber-Enabled Distributed Computing and Knowledge Discovery, pp. 361–364 (2010)
Liu, Z., Qu, W., Liu, W., Li, K.: Xen Live Migration with Slowdown Scheduling Algorithm. In: The 11th International Conference on Parallel and Distributed Computing, Applications and Technologies, pp. 215–221 (2010)
Du, Y., Yu, H., Shi, G., Chen, J., Zheng, W.: Microwiper:Efficient Memory Propagation in Live Migration of Virtual Machines. In: 39th International Conference on Parallel Processing, pp. 142–149 (2010)
Sun, Y.: Researches on Xen virtual machine and live migration techniques. Shanghai University (2009)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2013 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Qiao, B., Zhang, K., Guo, Y., Li, Y., Zhao, Y., Wang, G. (2013). Weight Based Live Migration of Virtual Machines. In: Li, J., et al. Trends and Applications in Knowledge Discovery and Data Mining. PAKDD 2013. Lecture Notes in Computer Science(), vol 7867. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-40319-4_47
Download citation
DOI: https://doi.org/10.1007/978-3-642-40319-4_47
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-40318-7
Online ISBN: 978-3-642-40319-4
eBook Packages: Computer ScienceComputer Science (R0)