Methodical Analysis of Various Balancer Conditions on Public Cloud Division

Abstract

The Corporate Environment is diverting to Cloud Computing due to its property of scalability, versatility, dependability obtainability, hence it offers several different types of work in this area, much work in this technology is done still there is need of enhancement to escalate the technique, the major issue in cloud is balancing of load as the volume of information is vast also the number of resources and server used are numerous. There are numerous algorithms under Swarm intelligence (SI) which is Co-operative activity of noncentralized, self-organized natural or artificial system. The paper focuses to find which algorithm among the widely used Ant colony and Honey bee behavior is best for balancing of load under normal balancer condition, In Idle balancer condition round-robin is being applied which appears suitable for the condition. In addition for huge and complex corporate environs, the paper focuses on strategy of divisions based on region to simplify the load balancing. The cloud has a central controller (CC) that chooses the suitable partitions for arriving jobs.

Survey of Usage Artificial Intelligence Mechanism in the Load Balancer

“…Progress and intensive usage of heterogeneous computing environments such as grid computing, P2P computing, and cloud computing, as well as challenges in Exascale computing systems, demonstrate the necessity and effectiveness of proposed dynamic load balancers for the distribution of load (Chandakanna, V. R., & Vatsavayi, V. K., 2016; Rajavel, R., Somasundaram, T. S., & Govindarajan, K., 2010). Several investigations used artificial intelligence techniques to assign requests to suitable resources where one or both have a dynamic nature (Hongvanthong, S., 2020, May;Nadaph, A., & Maral, V., 2015, February). The following sections have discussed different approaches for optimizing load balancers in computing systems with a dynamic nature based on artificial intelligence methods.…”