Load Balancing in Cloud Using Honeybee Optimization

In cloud computing, load balancing distributes traffic and workloads to make sure that no one server or computer is idle, overburdened, or underloaded. In order to increase total cloud performance, load balancing optimizes a number of limited factors, including execution time, response time, and system stability. There are numerous alternative load balancing algorithms that each have their own benefits and drawbacks. Users may experience performance issues when a server is overcrowded. This can be avoided by load balancing, which distributes the workload among several servers. There are several different load balancing methods that can be applied. One such method is to employ a round-robin DNS. Each request is delivered to a different server in a round-robin method with round-robin DNS. This guarantees that the amount of traffic reaching each server is equal. Honeybee optimization (HBO) is one of the most promising new load balancing methods. A bio-inspired algorithm called HBO is based on how honeybees behave. The capacity of honeybees to determine the quickest route between their colony and a food source is well recognized. To discover the best load balancing option, HBO employs a similar capability. A metaheuristic algorithm called Honeybee Optimization (HBO) is based on the feeding habits of honey bees. Honey bees use a well developed algorithm to locate food sources. This paper introduces the improved method for honey bee optimization.