Abstract
For efficient management of the cloud, there is a requirement of the virtualization in the emergent stage of cloud computing where resources such as memory, servers, virtual machines are shared across the World Wide Web. For getting or availing other facilities such as load balancing, auto-scaling, and fault tolerance, etc., in cloud computing live migration of virtual machine is required. Migrating virtual machines from one node to another without suspending the VMs is an important feature of cloud computing so that users do not have to deal with any kind of service downtime. In this research paper, a comparative study has been done for various methods of migrating the data from one node server to another node server. After that it also recognizes the optimization of the live virtual machine in migration techniques. Therefore, an optimized approach has been identified that will be beneficial in a live migration of virtual machines without affecting the node servers in a cloud computing environment.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Similar content being viewed by others
References
Rose R (2004) Survey of system virtualization techniques, Oregon State University. http://www.ece.cmu.edu/~ece845/docs/rose-virtualization.pdf
Bugnion E, Devine S, Rosenblum M, Sugerman J, Wang EY (2012) Bringing virtualization to the x86 Architecture with the original VMware workstation. ACM Trans Comput Syst ACM Ref Format Bugnion 30(4):1–51
vSphere ESXi Bare-Metal Hypervisor. http://www.vmware.com/products/esxi-and-esx.html. Accessed 04 Nov 2016
Huynh K, Hajnoczi S (2010) KVM/QEMU Storage stack performance discussion (PDF). ibm.com. Linux Plumbers Conference. Accessed 3 Jan 2015
Kapil D, Pilli ES, Joshi RC (2012) Live virtual machine migration techniques: survey and research challenges. In: IEEE
Bala A, Chana I (2012) Fault tolerance—challenges, techniques and implementation in cloud computing. Int J Comput Sci Issues 9(1):288–293
Kikuchi S, Matsumoto Y (2011) Performance modeling of concurrent live migration operations in cloud computing systems using prism probabilistic model checker. IEEE 4th international conference on cloud computing. IEEE, DC, pp 49–56
Xu F, Liu F, Liu L, Jin H, Li B, Li B (2014) iAware: making live migration of virtual machines interference-aware in the cloud. IEEE Trans Comput 63(12):3012–3025
Yin F, Liu W, Song J (2014) Live virtual machine migration with optimized three-stage memory copy. Future information technology. Springer, Berlin, pp 69–75
Patel PD, Karamta M, Bhavsar MD, Potdar MB (2014) Live virtual machine migration techniques in cloud computing a survey. IJCA 86(16)
Noshy M, Ibrahim A, Ali HA (2018) Optimization of live virtual machine migration in cloud computing: a survey and future directions. J Netw Comput Appl. https://doi.org/10.1016/j.jnca.2018.03.002
Ray S, De Sarkar A (2012) Execution analysis of load balancing algorithms in cloud computing environment. IJCCSA 2(5)
Zhang X, Huo Z, Ma J, Meng D (2010) Exploiting data deduplication to accelerate live virtual machine migration. In: Proceedings of the 2010 IEEE international conference on cluster computing, CLUSTER’10. IEEE Computer Society, pp. 88–96. https://doi.org/10.1109/cluster.2010.17
Ahmad RW, Gani A, Hamid SH, Shiraz M, Xia F, Madani SA (2015) Virtual machine migration in cloud data centers: a review, taxonomy, and open research issues. Springer, pp. 2473–2515
Ibrahim KZ, Hofmeyr S, Iancu C, Roman E (2011) Optimized pre-copy live migration for memory intensive applications. In: Proceedings of 2011 international conference for high performance computing, networking, storage and analysis, SC’11. ACM, pp. 40:1–40:11. https://doi.org/10.1145/2063384.2063437
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2021 Springer Nature Singapore Pte Ltd.
About this paper
Cite this paper
Gupta, A., Dimri, P., Bhatt, R.M. (2021). An Optimized Approach for Virtual Machine Live Migration in Cloud Computing Environment. In: Suma, V., Bouhmala, N., Wang, H. (eds) Evolutionary Computing and Mobile Sustainable Networks. Lecture Notes on Data Engineering and Communications Technologies, vol 53. Springer, Singapore. https://doi.org/10.1007/978-981-15-5258-8_52
Download citation
DOI: https://doi.org/10.1007/978-981-15-5258-8_52
Published:
Publisher Name: Springer, Singapore
Print ISBN: 978-981-15-5257-1
Online ISBN: 978-981-15-5258-8
eBook Packages: EngineeringEngineering (R0)