Survey of Different Load Balancing Approach-Based Algorithms in Cloud Computing: A Comprehensive Review

The Internet has become the basic necessity of day-to-day activity. It has a greater impact in modernizing the digital world. Consequently, cloud computing is one of the promising technical advancements in recent days. It is widely adopted by the different community for its abundant opportunities. It provides services and resources on ad hoc basis. Still, it has numerous issues related to resource provisioning, security, real-time data access, event content dissemination, server consolidation, virtual machine migration. These issues are to be addressed and resolved to provide a better quality of service in this computing paradigm. Load balancing is one of the vexing issues in the cloud platform. It ensures reliability and availability in this computing environment. It increases the efficiency of the system by equally distributing the workload among competing processes. The primary goal of load balancing is to minimize response time, cost, and maximize throughput. In the past decades, researchers have proposed different methodologies in order to resolve this issue. However, different load balancing parameters are yet to be optimized. This survey paper presents a comprehensive and comparative study of various load balancing algorithms. The study also portrays the merits and demerits of all the state-of-the-art-schemes which may prompt the researchers for further improvement in load balancing algorithms.