Performance Evaluation of Load Balancing Algorithms in Cloud Environment
Keywords:
Cloud Computing, Traditional Computing, Load Balancing TechniquesAbstract
Cloud computing has many advantages over traditional computing like scalability, elasticity, accessibility. Due to these advantages, it has gained popularity in the Information Technology industry. The popularity of cloud computing has forced all organizations (including Micro Small and Medium Enterprises) to move their businesses from traditional computing to cloud computing. This transition has increased cloud-based services worldwide. The growth in cloud adoption has resulted in a high surge of network traffic. Failure to handle this enormous traffic may result in reduced system performance, inefficient resource utilization, server outage. One of the solutions for these problems is cloud load balancers.
In this paper, we focus on a load balancing technique as first come first service (FCFS), short job first scheduling (SJF) and Round Robin for cloud load balancers to distribute load among all available resources and reduces the makespan time of tasks. The algorithm is implemented and analyzed using CloudSim simulator. Performance measurement and evaluation is done by Makespan time of number of cloudlet with given virtual machine and compare with existing algorithms.
Calculated results demonstrate that the developed method outperforms the existing method first service (FCFS), short job first scheduling (SJF) and Round Robin.
References
R. Rajeshkannan and M. Aramudhan, “Comparative study of load balancing algorithms in cloud computing environment,” Indian J. Sci. Technol., vol. 9, no. 20, 2016, doi: 10.17485/ijst/2016/v9i20/85866.
MahfoozAlam and Zaki Ahmad Khan, "Issues and Challenges of Load Balancing Algorithmin Cloud Computing Environment",Indian Journal of Science and Technology, Vol.10, no.25, July 2017.
E. J. Ghomi, A. M. Rahmani, and N. N. Qader, “Load-balancing Algorithms in Cloud Computing: A Survey,” J. Netw. Comput. Appl., vol. 88, no. C, pp. 50–71, 2017.
Himanshu Rai; Sanjeev Kumar Ojha; Alexey Nazarov “Cloud Load Balancing Algorithm” 2020 2nd International Conference on Advances in Computing, Communication Control and Networking (ICACCCN).
Hamid Shoja; Hossein Nahid; Reza Azizi “A comparative survey on load balancing algorithms in cloud computing” Fifth International Conference on Computing, Communications and Networking Technologies (ICCCNT).
Ashish Mishra; Divya Tiwari “A Proficient Load Balancing Using Priority Algorithm In Cloud Computing” 2020 IEEE International Conference on Machine Learning and Applied Network Technologies (ICMLANT).
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).
Shubham Sidana; Neha Tiwari; Anurag Gupta; Inall Singh Kushwaha “NBST algorithm: A load balancing algorithm in cloud computing” 2016 International Conference on Computing, Communication and Automation (ICCCA).
Cui, H.,Liu, X.,Yu, T.,Zhang, H.,Fang, Y., and Xia. Z.,2017. Cloud Service Scheduling Algorithm Research and Optimisation.Security and Communication networks, 2017.
Published
How to Cite
Issue
Section
License
This work is licensed under a Creative Commons Attribution 4.0 International License.
Re-users must give appropriate credit, provide a link to the license, and indicate if changes were made. You may do so in any reasonable manner, but not in any way that suggests the licensor endorses you or your use. This license allows for redistribution, commercial and non-commercial, as long as the original work is properly credited.
