Technique for Balanced Load Balancing in Cloud Computing Environment

被引:0
作者
Joshi, Narayan A. [1 ]
机构
[1] Dharmsinh Desai Univ, Dept Master Comp Applicat, Nadiad, India
关键词
Cloud environment; resource sharing; load balancing; starvation; priority oriented resource allocation;
D O I
10.14569/IJACSA.2022.0130316
中图分类号
TP301 [理论、方法];
学科分类号
081202 ;
摘要
sharing by means of load balancing in cloud computing environments helps for efficient utilization of cloud resources and higher overall throughput. However, implementation of poor load balancing algorithms may cause some virtual machines starving for additional cloud resources. Employing meagre crafted mechanism for priority-oriented load balancing may leave low-level priority virtual machines starving. We suggest an improved resource sharing mechanism for load balancing in the cloud computing environments. The suggested mechanism helps to provide efficient load balancing by avoiding starvation. In order to cater efficient load balancing, the proposed resource sharing technique takes respective virtual machines' priority levels into consideration. An implementation of the suggested load balancing algorithm in cloud environment provides reduction in waiting time of the starving virtual machines which are looking for additional resources in cloud platform. The implementation of our proposed algorithm has been deployed on a prototype cloud computing infrastructure testbed established with open source software OpenStack. The prototype cloud testbed is supported in backend by the open source CentOS Linux operating system's minimal setup. Experimental results of proposed load balancing mechanism in the prototype cloud computing infrastructure setup designate reduction in the waiting time of overloaded starving virtual machines. The proposed mechanism is beneficial to accomplish priority-oriented and starvation free resource sharing for load balancing in cloud computing environments. In future, the proposed technique can be further enhanced for implementing load balancing in collaborated cloud computing environments.
引用
收藏
页码:110 / 118
页数:9
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