Portability Responsive System for VM Migration in Cloud DCN

Jyotirmaya Mishra¹ , Gitanjali Mishra² , Ranjeet Kumar Panigrahi³

Section:Research Paper, Product Type: Isroset-Journal
Vol.6 , Issue.6 , pp.41-46, Dec-2018

CrossRef-DOI:   https://doi.org/10.26438/ijsrcse/v6i6.4146

Online published on Dec 31, 2018

Copyright © Jyotirmaya Mishra, Gitanjali Mishra, Ranjeet Kumar Panigrahi . This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
 

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Abstract :
The key computing element as in cloud data center, virtual machines should be able to migrate from one location to another to meet the necessities of the cloud users and the defined policies of the cloud computing system. The portability is an important issue when a virtual machine migrates across IP subnets. Its focuses on the portability management in cloud computing systems, and proposes a portability- oriented cloud data center network architecture based on the identity decoupling method of the portability-driven networks. In cloud data center network, a mobile node refers to a virtual machine, and the portability behavior mainly refers to virtual machine migration. In the proposed architecture, a virtual machine could implement live migration between IP subnets without service interruption. Evaluation shows that the proposed scheme can solve portability issues effectively in virtual machine migration among IP subnets.

Key-Words / Index Term :
Virtual machine migration, portability management, cloud data center network, portability driven networks (PDN)

References :
[1] S. Chen, Y. Shi, B. Hu, and M. Ai, ‘‘Portability-driven networks (MDN): From evolution to visions of portability management,’’ IEEE Netw., vol. 28, no. 4, pp. 66–73, Jul./Aug. 2014.
[2] R. W. Ahmad, A. Gania, S. H. A. Hamid, M. Shiraz, A. Yousafzai, and
F. Xia, ‘‘A survey on virtual machine migration and server consolidation frameworks for cloud data centers,’’ J. Netw. Comput. Appl., vol. 52, pp. 11–25, Jun. 2015.
[3] F. Travostino et al., ‘‘Seamless live migration of virtual machines over the MAN/WAN,’’ Future Generat. Comput. Syst., vol. 22, no. 8, pp. 901–907, 2006.
[4] T. Wood et al., ‘‘CloudNet: Dynamic pooling of cloud resources by live WAN migration of virtual machines,’’ IEEE/ACM Trans. Netw., vol. 23, no. 5, pp. 1568–1583, Oct. 2015.
[5] V. Medina and J. M. García, ‘‘A survey of migration mechanisms of virtual machines,’’ J. ACM Comput. Surv., vol. 46, no. 3, p. 30. 2014.
[6] M. Galloway, G. Loewen, and S. Vrbsky, ‘‘Performance metrics of virtual machine live migration,’’ in Proc. IEEE 8th Int. Conf. Cloud Comput., New York, NY, USA, 2015, pp. 637–644.
[7] M. Nelson, B. H. Lim, and G. Hutchins, ‘‘Fast transparent migration for virtual machines,’’ in Proc. USENIX Annu. Tech. Conf., Anaheim, CA, USA, 2010, pp. 391–394.
[8] E. Kavvadia, S. Sagiadinos, K. Oikonomou, G. Tsioutsiouliklis, and
S. Ïssa, ‘‘Elastic virtual machine placement in cloud computing network environments,’’ Comput. Netw., vol. 93, pp. 435–447, Dec. 2015.
[9] A. R. Ilkhechi, I. Korpeoglu, and Ö. Ulusoy, ‘‘Network-aware virtual machine placement in cloud data centers with multiple traffic-intensive components,’’ Comput. Netw., vol. 91, pp. 508–527, Nov. 2015.
[10] R. Sookhtsaraei, M. Madani, and A. Kavian, ‘‘A multi objective virtual machine placement method for reduce operational costs in cloud com- puting by genetic,’’ Int. J. Comput. Netw. Commun. Secur., vol. 2, no. 8, pp. 1–10, 2014.
[11] Y. Wang, J. Bi, and A. V. Vasilakos, ‘‘An identifier-based approach to Internet portability: A survey,’’ IEEE Netw., vol. 30, no. 1, pp. 72–79, Jan./Feb. 2016.
[12] Z. Hu, S. Chen, and B. Hu, ‘‘Reconsidering architecture for future ubiquitous Internet,’’ J. Netw., vol. 7, no. 9, pp. 1319–1326, 2012.
[13] T. Wood, P. Shenoy, A. Venkataramani, and M. Yousif, ‘‘Black-box and gray-box strategies for virtual machine migration,’’ in Proc. 4th USENIX Conf. Netw. Syst. Design Implement. USENIX Assoc., 2007, p. 17.
[14] Z. Hu, B. Hu, S. Chen, and J. He, ‘‘A revised mapping system design for host identity procotol,’’ in Proc. Int. Conf. Netw. Comput. Inf. Secur. (NCIS), Guilin, China, 2011, pp. 436–440.
[15] Z. Hu, B. Hu, S. Chen, and J. He, ‘‘A generic and scalable mapping system for ID/locator separation based future Internet architectures,’’ in Proc. Int. Conf. Autom. Control Artif. Intell. (ACAI), Xiamen, China, 2012, pp. 73–76.
[16] P. Pisa et al., ‘‘OpenFlow and Xen-based virtual network migration,’’ in Communications Wireless in Developing Countries and Networks of the Future. Berlin, Germany: Springer, 2011, pp. 170–181.
[17] Y. Wang and J. Bi, ‘‘A solution for IP portability support in software defined networks,’’ in Proc. 23rd Int. Conf. Comput. Commun. Netw. (ICCCN), Shanghai, China, 2014, pp. 1–8.
[18] H. Meng, Z. Chen, Z. Meng, and C. Song, ‘‘VM migration across subnets in future internet architecture-XIA,’’ Tongxin Xuebao/J. Commun., vol. 37, no. 3, pp. 107–116, Mar. 1, 2016.
[19] Z. Xiao, W. Song, and Q. Chen, ‘‘Dynamic resource allocation using virtual machines for cloud computing environment,’’ IEEE Trans. Parallel Distrib. Syst., vol. 24, no. 6, pp. 1107–1117, Jun. 2013.
[20] A. Greenberg, P. Lahiri, D. A. Maltz, P. Patel, and S. Sengupta, ‘‘Towards a next generation data center architecture: Scalability and commoditization,’’ in Proc. ACM Workshop Program Routers Extensible Serv. Tomorrow, 2008, pp. 57–62.
[21] M. Al-Fares, A. Loukissas, and A. Vahdat, ‘‘A scalable, commodity data center network architecture,’’ ACM SIGCOMM Comput. Commun. Rev., vol. 38, no. 4, pp. 63–74, 2008.
[22] M. R. Niranjan et al., ‘‘PortLand: A scalable fault-tolerant layer 2 data center network fabric,’’ ACM SIGCOMM Comput. Commun. Rev., vol. 39, no. 4, pp. 39–50, 2009.
[23] A. Beloglazov and R. Buyya, ‘‘Managing overloaded hosts for dynamic consolidation of virtual machines in cloud data centers under quality of service constraints,’’ IEEE Trans. Parallel Distrib. Syst., vol. 24, no. 7, pp. 1366–1379, Jul. 2013.
[24] W. Fang, X. Liang, S. Li, L. Chiaraviglio, and N. Xiong, ‘‘VMPlanner: Optimizing virtual machine placement and traffic flow routing to reduce network power costs in cloud data centers,’’ Comput. Netw., vol. 57, no. 1, pp. 179–196, 2013.
[25] W. Huang, Q. Gao, J. Liu, and D. K. Panda, ‘‘High performance vir- tual machine migration with RDMA over modern interconnects,’’ in Proc. IEEE Int. Conf. Cluster Comput., Austin, TX, USA, Sep. 2007, pp. 11–20.
[26] A. Greenberg et al., ‘‘VL2: A scalable and flexible data center network,’’ ACM SIGCOMM Comput. Commun. Rev., vol. 39, no. 4, pp. 51–62, 2009.
[27] C. Guo et al., ‘‘BCube: A high performance, server-centric network archi- tecture for modular data centers,’’ ACM SIGCOMM Comput. Commun. Rev., vol. 39, no. 4, pp. 63–74, 2009.