A Comprehensive Study of LB Technique in Cloud Infrastructure

In the recent Web-based knowledge transfer, cloud computing is essential. The real world has been changed into a virtual one as a result of the pandemic scenario. Cloud computing plays a major role for storing and computing data using remote computing infrastructure for day-to-day activities. The primary concern in cloud computing is distributing information technology (IT) resources efficiently to record the user requests in a short duration. Load-balancing (LB) techniques distribute the system's load among its various nodes to maximize resource usage and user satisfaction. It identifies the heavy loaded and lightly loaded IT resources and balances the task among the clusters. Load balancing ensures that each node in the network shortens reaction times, utilizes optimal resource and boosts performance. To upgrade the performance metrics in cloud computing (CC), various categories of LB techniques have been developed. This survey evaluates the different categories of LB techniques based on general LB, nature inspired-based LB and hybrid LB. The researchers evaluated and tabulated the qualitative and quantitative metrics for LB techniques.