Kavana K, K . Rajitha, Kavya SM, Ravali.M and Supreeth S


Cloud computing is designed to provide a scalable and low cost way to delivering on-demand IT resource services over the internet. Over a period of time cloud computing experienced  tremendous development . Nonethless, the economic model centered on  hardware and software demand  based on  technological requirements (CPU utilization, memory...) or strongly contributed to productive use of computer resources. Load balancing is therefore a crucial aspect of cloud computing. Cloud computing requires optimizing the efficiency of the various services provided by the cloud providers to minimize SLA infringement, i.e,.high degree of security, availability and responsivity. As cloud computing is growing increasingly and customers are demanding better performance and more services, cloud resource scheduling and load balancing has become a very interesting and significant research field .Therefore SLAs are emerging as an important factor between consumers and providers.In the existing algorithms there are drawbacks due to their single objective. But in this work, we are considering multiple objectives and multiple parameters for balancing load across virtual machine and to achieve less power consumption and reduce SLA violation.



virtual machine, load balancing, cloud computing, Datacenter

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Venkateshwarlu Velde, B. Rama. “An advanced algorithm for load balancing in cloud computing using fuzzy technique”, 2017 International Conference on Intelligent Computing and Control Systems(ICICCS), 2017.

M.S. George, K.C.N. Das and B. R. Pushpa,”Enhanced honey bee algorithm for cloud environment,” 2017 International Conference on Communication and signal processing(ICCSP), Chennai,2017, pp.1649-1653.

Monika Lagwal,Neha Bhardwaj. “Load balancing in cloud computing using genetic algorithm”, 2017 International Conference on Intelligent Computing and Control Systems(ICICCS) . 2017.

Pramod Kumar, Dr. Mahesh Bundele,devendra Somwansi.”An Adaptive Approach for Load Balancing in Cloud Computing using MTB Load Balancing”, 2018 3rd International Conference and Workshops on Recent Advances Innovations in Engineering(ICRAIE), 2018

Kaur, Rajwinder, and PawanLuthra. “Load balancing in cloud computing.” In proceedings of international conference on recent trends in Information, Telecommunication and computing,ITC 2012.

Jaimeel M Shah, Dr Sharnil Pandya,Dr narayan Joshi,Dr.Ketan Kotecha and Dr D.B Choksi,”Load Balancing in Cloud Computing:Methodological Survey on different types of algorithm”IEEE International Conference on Trends in Electronics and Informatics 2017.

K.R. Remesh Babu, Philip Samuel. “Chapter 6 Enhanced Bee Colony Algorithm for Efficient Load Balancing and Scheduling in Cloud”, Springer Science and Business Media LLC,2016.

Sayda Khidr Fadlalah Ali,Mustafa B. Hamad. “Implementation of an EDF algorithm in a cloud computing environment using the Cloudsim Tool”,2015 International conference on Computing, Control, Networking, electronics and Embedded Systems Engineering(ICCNEEE), 2015.

Dongarra, J.J., Fox, G. C., Hwang, K., “Distributed and Cloud Computing: From ParallelProcessing to Internet of Things”. Morgan Kauffmann Publishers, 2012.

Cuadrado. F., Duenas, C.J., “System Virtualization Tools”, IEEE Internet Computing, Vol.13 (5), pp. 52-59

Neugebauer, R., Paul, B., Pratt, I.,Warfield, A., “Xen and The Art of Virtualization”.Proceedings of the 19th ACM Symposium on Operating Systems Primciples. pp. 164-177.

Azzedin, F., Maheswaran, M., “Toward trust-aware resource management in grid computing systems”, In cluster computing and the grid , pp.452, 2002.

J. kaur, “Comparison of load balancing algorithms in a Cloud”, in International Journal of Engineering Research an Applications (IJERA), vol. 2, issue 3, pp. 169-173, 2012.

T. Y. Whu, W. T. Lee, Y. S. Lin, et al. “Dynamic load Balancing mechanism based on cloud storage”, in proc. of IEEE Computing,Communications and Applications Conference (ComComAp), pp.102-106, January, 2012.

R. Lee and B. Jeng, “Load-balancing tactics in cloud,” in IEEE proc.of International Conference on Cyber-Enabled Distributed Computingand Knowledge Discovery (CyberC), pp. 447-454, October

DOI: https://doi.org/10.26483/ijarcs.v11i0.6585


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