Load balancing is done to distribute network traffic across different servers efficiently using specific techniques, ensuring maximum speed, resource utilization and preventing overloading of any particular server. As in case of Data Streaming IOT systems, we can determine the frequency of traffic coming to our servers beforehand, static algorithms are good for such systems but they suffer from few drawbacks like uneven distribution of load among servers and requirement of dedicated hardware for load balancing. Here we have proposed a new hybrid approach for balancing the load on IOT Applications where we are already aware of the incoming traffic to our system from a specific device in a specified interval. We have found that static algorithms work better than dynamic algorithms for certain applications, so we have tried to combine features of dynamic load balancing with static to achieve optimum performance on various parameters. We propose this approach because it is easy to implement and its performance is very comparable to dynamic algorithms considering desirable features of both have been used to create the algorithm and minimize the drawbacks.