Abstract
Although a lot of fundamental research is being carried out in a field of cloud computing, but still it is in infancy stage. In today’s era of computing, it is trending Internet technology, which suffers from various issues and challenges. This research addresses load balancing as one of the major challenges in cloud computing. The paper proposes a dynamic load balancing algorithm for cloud computing environment and compares with the existing algorithm. The results show that proposed algorithm outperforms existing algorithm in terms of average response time, turnaround time, and total cost.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Velte, A.T., Elsenpeter, R., Velte, T.J.: Cloud Computing a Practical Approach. TATA McGraw-HILL Edition, USA (2010)
Sonawane, S., Arnikar, P., Fale, A., Aghav, S., Pachouly, S.: Load balancing in cloud computing. J. Inf. Knowl. Res. Comput. Eng. 3(1):573–576 (2014)
Wu, X., et al.: A task scheduling algorithm based on QoS-driven in cloud computing. Procedia Comput. Sci. 17: 1162–1169 (2013)
Domanal, S.G., Reddy, G.R.M.: Optimal load balancing in cloud computing by efficient utilization of virtual machines. In: 2014 Sixth International Conference on Communication Systems and Networks (COMSNETS), IEEE (2014)
Mesbahi, M., Rahmani, A.M., Chronopoulos, A.T.: Cloud light weight: a new solution for load balancing in cloud computing. In: 2014 International Conference on Data Science & Engineering (ICDSE), pp. 44–50, 26–28 Aug 2014
Sharma, A., Peddoju, S.K.: Response time based load balancing in cloud computing. In: 2014 International Conference on Control, Instrumentation, Communication and Computational Technologies (ICCICCT), pp. 1287–1293, 10–11 July 2014
Haidri, R.A., Katti, C.P., Saxena, P.C.: A load balancing strategy for Cloud Computing environment. In: 2014 International Conference on Signal Propagation and Computer Technology (ICSPCT), pp. 636–641. IEEE (2014)
Calheiros, R.N., et al.: CloudSim: a toolkit for modeling and simulation of cloud computing environments and evaluation of resource provisioning algorithms. Softw. Pract. Experience 41(1):23–50 (2011)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2018 Springer Nature Singapore Pte Ltd.
About this paper
Cite this paper
Kaur, R., Ghumman, N.S. (2018). Task-Based Load Balancing Algorithm by Efficient Utilization of VMs in Cloud Computing. In: Aggarwal, V., Bhatnagar, V., Mishra, D. (eds) Big Data Analytics. Advances in Intelligent Systems and Computing, vol 654. Springer, Singapore. https://doi.org/10.1007/978-981-10-6620-7_7
Download citation
DOI: https://doi.org/10.1007/978-981-10-6620-7_7
Published:
Publisher Name: Springer, Singapore
Print ISBN: 978-981-10-6619-1
Online ISBN: 978-981-10-6620-7
eBook Packages: EngineeringEngineering (R0)