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[4] I Memon, Q.Ali, A.Zubedi, F.A. Mangi. DPMM: dynamic pseudonym-based multiple mix-zones generation for mobile traveler. Multimedia Tools and Applications, Volume 76, November 2017, Issue 22.
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[9] Gustafsson Erik. Optimizing Total Migration Time in Virtual Machine Live Migration. Thesis, 2013.
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[18] H. Liu, H. Jin, X. Liao, L. Hu, and C. Yu. Live migration of virtual machine based on full system trace and replay. In Proc. 18th International Symposium on High Performance Distributed Computing (HPDC’09), 2009, pp. 101– 110.
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[20] K. Z. Ibrahim, S. Hofmeyr, C. Iancu, and E. Roman. Optimized pre-copy live migration for memory intensive applications. In Proc. International Conference for High Performance Computing, Networking, Storage and Analysis (SC), 2011, pp. 1-11.
[21] M. Fei, L. Feng, and L. Zhen. Live virtual machine migration based on improved pre-copy approach. In Proc. IEEE International Conference on Software Engineering & Service Sciences (ICSESS), 2010, pp. 230-233.
[22] Z. Safari, N. Bohlol and E. Fouladfar. Optimized live migration using NRU and modified clock policy. In Proc. 9th International Conference on e-Commerce in Developing Countries: With focus on e-Business (ECDC), 2015, pp. 1-8.
[23] EiPhyuZaw, Ni Lar Thein. Improved Live VM Migration using LRU and Splay Tree Algorithm. International Journal of Computer Science and Telecommunications [Volume 3, Issue 3, March, 2012].
[24] Cisco. dscp and precedence (2015). Available from: http://www.cisco.com
[25] The Linux kernel archive (2016). Available from: http:// www.kernel.org /
[26] Official Ubuntu Documentation (2015). Available from https://help.ubuntu.com
[27] How Does Xen Work (2015). Available from https://wiki.xenproject.org/
[2] I Memon, L Chen, Q. A Arain, H Memon, G Chen. Pseudonym changing strategy with multiple mix zones for trajectory privacy protection in road networks. International journal of communication systems, October 2017
[3] I. Memon, Q. A. Arain, Dynamic path privacy protection framework for continuous query service over road networks, World Wide Web ,Volume 20, July 2017, Issue 4.
[4] I Memon, Q.Ali, A.Zubedi, F.A. Mangi. DPMM: dynamic pseudonym-based multiple mix-zones generation for mobile traveler. Multimedia Tools and Applications, Volume 76, November 2017, Issue 22.
[5] I. Memon, I. Hussain, R. Akhtar, G. Chen. Enhanced Privacy and Authentication: An Efficient and Secure Anonymous Communication for Location Based Service Using Asymmetric Cryptography Scheme. Wireless Personal Communications, Volume 84, May 2015, Issue 2.
[6] I. Memon, Q.A. Arain, H.Memon, F.A. Mangi. Efficient User Based Authentication Protocol for Location Based Services Discovery Over Road Networks. Wireless Personal Communications, Volume 95, August 2017, Issue 4.
[7] Q.i. Arain, D.ZhongLiang, I.Memon, A Zubedi, F.A. Mangi. Location Privacy with Dynamic Pseudonym-Based Multiple Mix-Zones Generation over Road Networks, Wireless Personal Communications, Volume 97, December 2017, Issue 3.
[8] Wenjin Hu, Andrew Hicks, Long Zhang, Eli M. Dow, Vinay Soni, Hao Jiang, Ronny Bull, Jeanna N. Matthews. A Quantitative Study of Virtual Machine Live Migration. In Proc. ACM Cloud and Autonomic Computing Conference, 2013, pp. 1-10.
[9] Gustafsson Erik. Optimizing Total Migration Time in Virtual Machine Live Migration. Thesis, 2013.
[10] S. Rawat, R.Tyagi, P. Kumar. An Investigative Study on Challenges of Live Migration. In Proc. IEEE Reliability, Infocom Technologies and Optimization (Trends and Future Directions) (ICRITO), Sept, 2016.
[11] A.Amani, K.Zamanifar. Improving the Time of Live Migration Virtual Machine by Optimized Algorithm Scheduler Credit. In Parallel, Distributed and Grid Computing, 2014, pp.346-351.
[12] S. Kumar Bose, S. Brock, R. Skeoch, N. Shaikh, S. Rao. Optimizing live migration of virtual machines across wide area networks using integrated replication and scheduling. In Proc. IEEE International Systems Conference, 2011, pp. 97-102.
[13] J. FarzinAlamdari, K. Zamanifar. A Reuse Distance Based Pre-copy Approach to Improve Live Migration of Virtual Machines. In Proc. 2nd IEEE International Conference on Parallel, Distributed and Grid Computing, 2012, pp.551-556.
[14] R. H. Michael, G. Kartik. Post-copy based live virtual machine migration using adaptive pre-paging and dynamic self-ballooning. In Proc. ACM SIGPLAN/SIGOPS international conference on Virtual execution environments, 2009, pp.51-60.
[15] P. Getzi Jeba Leelipushpam, J. Sharmila. Live VM Migration techniques in cloud environment-A Survey. In Proc. IEEE Conference on Information and Communication Technologies, 2013.
[16] Nitishchandra Vyas, P.A.C. A Survey on Virtual Machine Migration Techniques in Cloud Computing. International Journal of Application or Innovation in Engineering & Management, 2016, p. 297-300.
[17] M. Shaikh, M.A. Memon, A. Shaikh, F. Deeba. Analyzing Virtual Machine Live Migration in Application Data Context. International Journal of Advanced Computer Science and Applications Volume 7, 2016, Issue 5.
[18] H. Liu, H. Jin, X. Liao, L. Hu, and C. Yu. Live migration of virtual machine based on full system trace and replay. In Proc. 18th International Symposium on High Performance Distributed Computing (HPDC’09), 2009, pp. 101– 110.
[19] P. Svärd, B. Hudzia, J. Tordsson. E. Elmroth. Evaluation of delta compression techniques for efficient live migration of large virtual machines. In Proc. the 7th ACM SIGPLAN/SIGOPS international conference on Virtual execution environments, 2011, pp. 111-120.
[20] K. Z. Ibrahim, S. Hofmeyr, C. Iancu, and E. Roman. Optimized pre-copy live migration for memory intensive applications. In Proc. International Conference for High Performance Computing, Networking, Storage and Analysis (SC), 2011, pp. 1-11.
[21] M. Fei, L. Feng, and L. Zhen. Live virtual machine migration based on improved pre-copy approach. In Proc. IEEE International Conference on Software Engineering & Service Sciences (ICSESS), 2010, pp. 230-233.
[22] Z. Safari, N. Bohlol and E. Fouladfar. Optimized live migration using NRU and modified clock policy. In Proc. 9th International Conference on e-Commerce in Developing Countries: With focus on e-Business (ECDC), 2015, pp. 1-8.
[23] EiPhyuZaw, Ni Lar Thein. Improved Live VM Migration using LRU and Splay Tree Algorithm. International Journal of Computer Science and Telecommunications [Volume 3, Issue 3, March, 2012].
[24] Cisco. dscp and precedence (2015). Available from: http://www.cisco.com
[25] The Linux kernel archive (2016). Available from: http:// www.kernel.org /
[26] Official Ubuntu Documentation (2015). Available from https://help.ubuntu.com
[27] How Does Xen Work (2015). Available from https://wiki.xenproject.org/
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Affiliations
Keyvan Mohebbi
Department of Electrical and Computer Engineering, Mobarakeh Branch, Islamic Azad University, Mobarakeh, Isfahan, Iran
Mohammad Reza Moslehi Takantapeh
Department of Computer Engineering, Isfahan (Khorasgan) Branch, Islamic Azad University, Isfahan, Iran
An Approach to Improve the Live Migration Using Asynchronized Cache and Prioritized IP Packets
Abstract
The live migration of a virtual machine is a method of moving virtual machines across hosts within a virtualized data center. Two main parameters should be considered for evaluation of live migration; total duration, and downtime of migration. This paper focuses on optimization of live migration in Xen environment where memory pages are dirtied rapidly. An approach is proposed to manage dirty pages during migration in the cache and prioritize the packets at the network level. According to the evaluations, when the system is under heavy workload or it is running within a stress tool, the virtual machines are intensively writing. The proposed approach outperforms the default method in terms of number of transferred pages, total migration time, and downtime. Experimental results showed that by increasing workload, the proposed approach reduced the number of sent pages by 47.4%, total migration time by 10%, and the downtime by 27.7% in live migration.