Load Balancing Evaluation Tools for a Private Cloud: A Comparative Study

  • Sahand Kh. Saeid Department of Compute Science and Engineering, University of Kurdistan Hewler, Erbil, Kurdistan Region
  • Tara Ali Yahiya Department of Compute Science and Engineering, University of Kurdistan Hewler, Erbil, Kurdistan Region http://orcid.org/0000-0003-1426-8019
Keywords: Cloud Computing, Load Balancing, Least Connection Algorithm


Cloud computing turns out to be an emerging technology that revolutionized the world of IT infrastructure. However, since the number of users is increasing daily, the demand for cloud services is increasing too. Thus, congestion occurs on the servers that provide services in the cloud. To avoid congestion, we used load balancer tools such as HAProxy and Nginx to intercept the requests of users and distribute them evenly to the servers. Jmeter is used to measure the performance metrics of least connection algorithm in terms of CPU utilization, response time, and concurrency level. Results showed high performance of HAProxy compared to Nginx in terms of response time and treating requests. Furthermore, we examined the characteristic of availability of the load balancer through deploying redundant load balancers, and we studied the effect of the failure of the load balancer on the quality of service of the end users. Keepalived is used to ensure a smooth transition between the two load balancers. According to the concurrency level, results proved that the number of unsuccessful requests during the failure of the master load balancer is proportionally minuscule compared to the total number of requests sent in a normal situation.



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Author Biography

Tara Ali Yahiya, Department of Compute Science and Engineering, University of Kurdistan Hewler, Erbil, Kurdistan Region
Tara Yahya is an Asistant Professor in the university of Kurdistan-Hewler, and holds an (Habilitation a diriger des recherches) which is a qualification for getting full professorship from the university of Paris Sud 11 (France), a PhD in mobile and wireless networks from the university of Paris 6 (Pierre & Marie Curie) and a MSc from the university of Marne-La-Vallee (Paris Est). Her main research interests include cloud computing, mobile communication and QoS.


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How to Cite
Saeid, S. K. and Ali Yahiya, T. (2018) “Load Balancing Evaluation Tools for a Private Cloud: A Comparative Study”, ARO-THE SCIENTIFIC JOURNAL OF KOYA UNIVERSITY, 6(2), pp. 13-19. doi: 10.14500/aro.10438.