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International Journal of Advanced
Engineering, Management and Science

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A Novel Approach for Workflow Scheduling in Hybrid Cloud with Dynamic Datacenter
( Vol-3,Issue-8,August 2017 )

Author(s):

Anuradha Gupta, Abhigya Saxena, Brij Kishore

Keywords:

DAG,Virtulation, Cloud, Datacenter.

Abstract:

Work process is used to speak to variety of use which requires huge data figuring and limit. To vanquish this need of data computation and limit dispersed processing has created as one of the best responses for on asks for resource provider. Nevertheless, on occasion the benefits open to us may not be satisfactory, so the need develops to gather more sources from various fogs. This is done by using the Hybrid cloud. Half and half cloud is mix of open and private cloud. The private cloud is guaranteed by the customer consequently there are no extra charges for using the benefits available in it, however open cloud is controlled by others so we have to pay for the using the advantage as indicated by the businesses. The usage of the cream cloud offers adaptability to the customer. While using the half breed cloud, two most basic inquiries rises. The first is the best approach to segment the work procedure. In addition, the second one is the thing that benefit we need to get from individuals as a rule cloud so it can meet our essential inside the foreordained due date. The changed booking organization work handle for hybrid cloud give the less make span for the DAG than the main figuring and give us the best resources that we need to secure from open cloud to have enough planning vitality to arrange the work procedure inside given due date. We have gone through with two different approaches after scheduling has been performed to check the successful transaction between dynamic and static data center. We contemplated a hybrid approach which will reduce the complexity of the network but at the same time it also perform successful transaction between dynamic datacenters .Each time the transaction has been performed between different centers or clusters the consequences are successful.

ijaers doi crossrefDOI:

10.24001/ijaems.3.8.5

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[1] A BELS, T., DHAWAN, P., and CHANDRASEKARAN, B., “An overview of xen virtualization,” Dell Power Solutions, vol. 8, pp. 109–111, 2005.
[2] B ITTENCOURT, L. F., MADEIRA, E. R., CICERRE, F., and BUZATO, L., “A path clustering heuristic for scheduling task graphs onto a grid,” in 3rd International Workshop on Middleware for Grid Computing (MGC05), 2005.
[3] BITTENCOURT, L. F., SENNA, C. R., and MADEIRA, E. R., “Scheduling ser-vice workflows for cost optimization in hybrid clouds,” in Network and Service Management (CNSM), 2010 International Conference on, pp. 394–397, IEEE, 2010.
[4] C HAWLA, Y. and BHONSLE, M., “A study on scheduling methods in cloud computing,” International Journal of Emerging Trends & Technology in Computer Science (IJETTCS), vol. 1, no. 3, pp. 12–17, 2012.
[5] E LZEKI, O., RESHAD, M., and ELSOUD, M., “Improved max-min algorithm in cloud computing,” International Journal of Computer Applications, vol. 50, no. 12, pp. 22–27, 2012.
[6] G RAY, M., “Cloud computing: Demystifying iaas, paas and saas,” Retrieved July, vol. 17, p. 2011, 2010.
[7] K OKILAVANI, T. and AMALARETHINAM, D. D. G., “Load balanced min-min algorithm for static meta-task scheduling in grid computing,” International Jour- nal of Computer Applications, vol. 20, no. 2, pp. 43–49, 2011.
[8] L IU, G., LI, J., and XU, J., “An improved min-min algorithm in cloud computing, in Proceedings of the 2012 International Conference of Modern Computer Science and Applications, pp. 47–52, Springer, 2013.
[9] M ELL, P. and GRANCE, T., “The nist definition of cloud computing,” 2011.
[10] P ARSA, S. and ENTEZARI-MALEKI, R., “Rasa: A new task scheduling algorithm in grid environment,” World Applied sciences journal, vol. 7, pp. 152–160, 2009.
[11] J. Qiu, J. Ekanayake, T. Gunarathne, J. Y. Choi, S.-H. Bae, H. Li, B. Zhang, T.-L. Wu, Y. Ruan, S. Ekanayake, et al., “Hybrid cloud and cluster com- puting paradigms for life science applications,” BMC bioinformatics, vol. 11, no. Suppl 12, p. S3, 2010.
[12] M. A Vouk, “ Cloud computing–issues, research and implementations,” CIT. Journal of Computing and Information Technology, vol. 16, no. 4, pp. 235– 246, 2008.
[13] T. Binz, G. Breiter, F. Leyman, and T. Spatzier, “Portable cloud services using tosca.,” IEEE Internet Computing, vol. 16, no. 3, 2012.
[14] R. N. Calheiros, R. Ranjan, A. Beloglazov, C. A. De Rose, and R. Buyya, “Cloudsim: a toolkit for modeling and simulation of cloud computing en- vironments and evaluation of resource provisioning algorithms,” Software: Practice and Experience, vol. 41, no. 1, pp. 23–50, 2011.
[15] K. A. Nuaimi, N. Mohamed, M. A. Nuaimi, and J. Al-Jaroodi, “A survey of load balancing in cloud computing: Challenges and algorithms,” in Network Cloud Computing and Applications (NCCA), 2012 Second Symposium on, pp. 137–142, IEEE, 2012.
[16] T. Velte, A. Velte, and R. Elsenpeter, Cloud computing, a practical approach. McGraw-Hill, Inc., 2009.
[17] Q. Wang, C. Wang, J. Li, K. Ren, and W. Lou, “Enabling public verifiability and data dynamics for storage security in cloud computing,” in Computer Security–ESORICS 2009, pp. 355–370, Springer, 2009.
[18] M. Hogan, F. Liu, A. Sokol, and J. Tong, “Nist cloud computing standards roadmap,” NIST Special Publication, vol. 35, 2011.
[19] S. G. Grivas, T. U. Kumar, and H. Wache, “Cloud broker: Bringing in- telligence into the cloud,” in Cloud Computing (CLOUD), 2010 IEEE 3rd International Conference on, pp. 544–545, IEEE, 2010.
[20] P. Pawluk, B. Simmons, M. Smit, M. Litoiu, and S. Mankovski, “Introducing stratos: A cloud broker service.,” in IEEE CLOUD, pp. 891–898, 2012